innovation problem solving

Five routes to more innovative problem solving

Rob McEwen had a problem. The chairman and chief executive officer of Canadian mining group Goldcorp knew that its Red Lake site could be a money-spinner—a mine nearby was thriving—but no one could figure out where to find high-grade ore. The terrain was inaccessible, operating costs were high, and the unionized staff had already gone on strike. In short, McEwen was lumbered with a gold mine that wasn’t a gold mine .

Then inspiration struck. Attending a conference about recent developments in IT, McEwen was smitten with the open-source revolution. Bucking fierce internal resistance, he created the Goldcorp Challenge: the company put Red Lake’s closely guarded topographic data online and offered $575,000 in prize money to anyone who could identify rich drill sites. To the astonishment of players in the mining sector, upward of 1,400 technical experts based in 50-plus countries took up the problem. The result? Two Australian teams, working together, found locations that have made Red Lake one of the world’s richest gold mines. “From a remote site, the winners were able to analyze a database and generate targets without ever visiting the property,” McEwen said. “It’s clear that this is part of the future.” 1 1. See Linda Tischler, “ He struck gold on the Net (really) ,” fastcompany.com, May 31, 2002.

McEwen intuitively understood the value of taking a number of different approaches simultaneously to solving difficult problems. A decade later, we find that this mind-set is ever more critical: business leaders are operating in an era when forces such as technological change and the historic rebalancing of global economic activity from developed to emerging markets have made the problems increasingly complex, the tempo faster, the markets more volatile, and the stakes higher. The number of variables at play can be enormous, and free-flowing information encourages competition, placing an ever-greater premium on developing innovative, unique solutions.

This article presents an approach for doing just that. How? By using what we call flexible objects for generating novel solutions, or flexons , which provide a way of shaping difficult problems to reveal innovative solutions that would otherwise remain hidden. This approach can be useful in a wide range of situations and at any level of analysis, from individuals to groups to organizations to industries. To be sure, this is not a silver bullet for solving any problem whatever. But it is a fresh mechanism for representing ambiguous, complex problems in a structured way to generate better and more innovative solutions.

The flexons approach

Finding innovative solutions is hard. Precedent and experience push us toward familiar ways of seeing things, which can be inadequate for the truly tough challenges that confront senior leaders. After all, if a problem can be solved before it escalates to the C-suite, it typically is. Yet we know that teams of smart people from different backgrounds are more likely to come up with fresh ideas more quickly than individuals or like-minded groups do. 2 2. Lu Hong and Scott Page, “Groups of diverse problem solvers can outperform groups of high-ability problem solvers,” Proceedings of the National Academy of Sciences of the United States of America , 2004, Volume 101, pp. 16385–89. For more on the benefits of open innovation, see John Seely Brown and John Hagel III, “ Creation nets: Getting the most from open innovation ,” McKinsey Quarterly , May 2006. When a diverse range of experts—game theorists to economists to psychologists—interact, their approach to problems is different from those that individuals use. The solution space becomes broader, increasing the chance that a more innovative answer will be found.

Obviously, people do not always have think tanks of PhDs trained in various approaches at their disposal. Fortunately, generating diverse solutions to a problem does not require a diverse group of problem solvers. This is where flexons come into play. While traditional problem-solving frameworks address particular problems under particular conditions—creating a compensation system, for instance, or undertaking a value-chain analysis for a vertically integrated business—they have limited applicability. They are, if you like, specialized lenses. Flexons offer languages for shaping problems, and these languages can be adapted to a much broader array of challenges. In essence, flexons substitute for the wisdom and experience of a group of diverse, highly educated experts.

To accommodate the world of business problems, we have identified five flexons, or problem-solving languages. Derived from the social and natural sciences, they help users understand the behavior of individuals, teams, groups, firms, markets, institutions, and whole societies. We arrived at these five through a lengthy process of synthesizing both formal literatures and the private knowledge systems of experts, and trial and error on real problems informed our efforts. We don’t suggest that these five flexons are exhaustive—only that we have found them sufficient, in concert, to tackle very difficult problems. While serious mental work is required to tailor the flexons to a given situation, and each retains blind spots arising from its assumptions, multiple flexons can be applied to the same problem to generate richer insights and more innovative solutions.

Networks flexon

Imagine a map of all of the people you know, ranked by their influence over you. It would show close friends and vague acquaintances, colleagues at work and college roommates, people who could affect your career dramatically and people who have no bearing on it. All of them would be connected by relationships of trust, friendship, influence, and the probabilities that they will meet. Such a map is a network that can represent anything from groups of people to interacting product parts to traffic patterns within a city—and therefore can shape a whole range of business problems.

For example, certain physicians are opinion leaders who can influence colleagues about which drugs to prescribe. To reveal relationships among physicians and help identify those best able to influence drug usage, a pharmaceutical company launching a product could create a network map of doctors who have coauthored scientific articles. By targeting clusters of physicians who share the same ideas and (one presumes) have tight interactions, the company may improve its return on investments compared with what traditional mass-marketing approaches would achieve. The network flexon helps decompose a situation into a series of linked problems of prediction (how will ties evolve?) and optimization (how can we maximize the relational advantage of a given agent?) by presenting relationships among entities. These problems are not simple, to be sure. 3 3. For more on network analysis, see Robert L. Cross, Roger D. Martin, and Leigh M. Weiss, “ Mapping the value of employee collaboration ,” McKinsey Quarterly , August 2006. For more on the role of brokers in filling organizational gaps, see Ronald S. Burt, Structural Holes: The Social Structure of Competition , first edition, Cambridge, MA: Harvard University Press, 1992. But they are well-defined and structured—a fundamental requirement of problem solving.

Evolutionary flexon

Evolutionary algorithms have won games of chess and solved huge optimization problems that overwhelm most computational resources. Their success rests on the power of generating diversity by introducing randomness and parallelization into the search procedure and quickly filtering out suboptimal solutions. Representing entities as populations of parents and offspring subject to variation, selection, and retention is useful in situations where businesses have limited control over a large number of important variables and only a limited ability to calculate the effects of changing them, whether they’re groups of people, products, project ideas, or technologies. Sometimes, you must make educated guesses, test, and learn. But even as you embrace randomness, you can harness it to produce better solutions to complex problems.

That’s because not all “guessing strategies” are created equal. We have crucial choices to make: generating more guesses (prototypes, ideas, or business models) or spending more time developing each guess or deciding which guesses will survive. Consider a consumer-packaged-goods company trying to determine if a new brand of toothpaste will be a hit or an expensive failure. Myriad variables—everything from consumer habits and behavior to income, geography, and the availability of clean water—interact in multiple ways. The evolutionary flexon may suggest a series of low-cost, small-scale experiments involving product variants pitched to a few well-chosen market segments (for instance, a handful of representative customers high in influence and skeptical about new ideas). With every turn of the evolutionary-selection crank, the company’s predictions will improve.

Decision-agent flexon

To the economic theorist, social behavior is the outcome of interactions among individuals, each of whom tries to select the best possible means of achieving his or her ends. The decision-agent flexon takes this basic logic to its limit by providing a way of representing teams, firms, and industries as a series of competitive and cooperative interactions among agents. The basic approach is to determine the right level of analysis—firms, say. Then you ascribe to them beliefs and motives consistent with what you know (and think they know), consider how their payoffs change through the actions of others, determine the combinations of strategies they might collectively use, and seek an equilibrium where no agent can unilaterally deviate from the strategy without becoming worse off.

Game theory is the classic example, but it’s worth noting that a decision-agent flexon can also incorporate systematic departures from rationality: impulsiveness, cognitive shortcuts such as stereotypes, and systematic biases. Taken as a whole, this flexon can describe all kinds of behavior, rational and otherwise, in one self-contained problem-solving language whose most basic variables comprise agents (individuals, groups, organizations) and their beliefs, payoffs, and strategies.

For instance, financial models to optimize the manufacturing footprint of a large industrial company would typically focus on relatively easily quantifiable variables such as plant capacity and input costs. To take a decision-agent approach, you assess the payoffs and likely strategies of multiple stakeholders—including customers, unions, and governments—in the event of plant closures. Adding the incentives, beliefs, and strategies of all stakeholders to the analysis allows the company to balance the trade-offs inherent in a difficult decision more effectively.

System-dynamics flexon

Assessing a decision’s cascading effects on complex businesses is often a challenge. Making the relations between variables of a system, along with the causes and effects of decisions, more explicit allows you to understand their likely impact over time. A system-dynamics lens shows the world in terms of flows and accumulations of money, matter (for example, raw materials and products), energy (electrical current, heat, radio-frequency waves, and so forth), or information. It sheds light on a complex system by helping you develop a map of the causal relationships among key variables, whether they are internal or external to a team, a company, or an industry; subjectively or objectively measurable; or instantaneous or delayed in their effects.

Consider the case of a deep-sea oil spill, for example. A source (the well) emits a large volume of crude oil through a sequence of pipes (which throttle the flow and can be represented as inductors) and intermediate-containment vessels (which accumulate the flow and can be modeled as capacitors). Eventually, the oil flows into a sink (which, in this case, is unfortunately the ocean). A pressure gradient drives the flow rate of oil from the well into the ocean. Even an approximate model immediately identifies ways to mitigate the spill’s effects short of capping the well. These efforts could include reducing the pressure gradient driving the flow of crude, decreasing the loss of oil along the pipe, increasing the capacity of the containment vessels, or increasing or decreasing the inductance of the flow lines. In this case, a loosely defined phenomenon such as an oil spill becomes a set of precisely posed problems addressable sequentially, with cumulative results.

Information-processing flexon

When someone performs long division in her head, a CEO makes a strategic decision by aggregating imperfect information from an executive team, or Google servers crunch Web-site data, information is being transformed intelligently. This final flexon provides a lens for viewing various parts of a business as information-processing tasks, similar to the way such tasks are parceled out among different computers. It focuses attention on what information is used, the cost of computation, and how efficiently the computational device solves certain kinds of problems. In an organization, that device is a collection of people, whose processes for deliberating and deciding are the most important explanatory variable of decision-making’s effectiveness. 4 4. See Dan Lovallo and Olivier Sibony, “ The case for behavioral strategy ,” McKinsey Quarterly , March 2010.

Consider the case of a private-equity firm seeking to manage risk. A retrospective analysis of decisions by its investment committee shows that past bets have been much riskier than its principals assumed. To understand why, the firm examines what information was transmitted to the committee and how decisions by individuals would probably have differed from those of the committee, given its standard operating procedures. Interviews and analysis show that the company has a bias toward riskier investments and that it stems from a near-unanimity rule applied by the committee: two dissenting members are enough to prevent an investment. The insistence on near-unanimity is counterproductive because it stifles debate: the committee’s members (only two of whom could kill any deal) are reluctant to speak first and be perceived as an “enemy” by the deal sponsor. And the more senior the sponsor, the more likely it is that risky deals will be approved. Raising the number of votes required to kill deals, while clearly counterintuitive, would stimulate a richer dialogue.

Putting flexons to work

We routinely use these five problem-solving lenses in workshops with executive teams and colleagues to analyze particularly ambiguous and complex challenges. Participants need only a basic familiarity with the different approaches to reframe problems and generate more innovative solutions. Here are two quite different examples of the kinds of insights that emerge from the use of several flexons, whose real power emerges in combination.

Reorganizing for innovation

A large biofuel manufacturer that wants to improve the productivity of its researchers can use flexons to illuminate the problem from very different angles.

Networks. It’s possible to view the problem as a need to design a better innovation network by mapping the researchers’ ties to one another through co-citation indices, counting the number of e-mails sent between researchers, and using a network survey to reveal the strength and density of interactions and collaborative ties. If coordinating different knowledge domains is important to a company’s innovation productivity, and the current network isn’t doing so effectively, the company may want to create an internal knowledge market in which financial and status rewards accrue to researchers who communicate their ideas to co-researchers. Or the company could encourage cross-pollination by setting up cross-discipline gatherings, information clearinghouses, or wiki-style problem-solving sites featuring rewards for solutions.

Evolution. By describing each lab as a self-contained population of ideas and techniques, a company can explore how frequently new ideas are generated and filtered and how stringent the selection process is. With this information, it can design interventions to generate more varied ideas and to change the selection mechanism. For instance, if a lot of research activity never seems to lead anywhere, the company might take steps to ensure that new ideas are presented more frequently to the business-development team, which can provide early feedback on their applicability.

Decision agents. We can examine in detail how well the interests of individual researchers and the organization are aligned. What financial and nonfinancial benefits accrue to individuals who initiate or terminate a search or continue a search that is already under way? What are the net benefits to the organization of starting, stopping, or continuing to search along a given trajectory? Search traps or failures may be either Type I (pursuing a development path unlikely to reach a profitable solution) or Type II (not pursuing a path likely to reach a profitable solution). To better understand the economics at play, it may be possible to use industry and internal data to multiply the probabilities of these errors by their costs. That economic understanding, in turn, permits a company to tailor incentives for individuals to minimize Type I errors (by motivating employees to reject apparent losers more quickly) or Type II errors (by motivating them to persist along paths of uncertain value slightly longer than they normally would).

Predicting the future

Now consider the case of a multinational telecommunications service provider that operates several major broadband, wireless, fixed, and mobile networks around the world, using a mix of technologies (such as 2G and 3G). It wants to develop a strategic outlook that takes into consideration shifting demographics, shifting technologies for connecting users with one another and with its core network (4G), and shifting alliances—to say nothing of rapidly evolving players from Apple to Qualcomm. This problem is complicated, with a range of variables and forces at work, and so broad that crafting a strategy with big blind spots is easy. Flexons can help.

Each view of the world described below provides valuable food for thought, including potential strategic scenarios, technology road maps, and possibilities for killer apps. More hard work is needed to synthesize the findings into a coherent worldview, but the different perspectives provided by flexons illuminate potential solutions that might otherwise be missed.

Decision agents. Viewing the problem in this way emphasizes the incentives for different industry players to embrace new technologies and service levels. By enumerating a range of plausible scenarios from the perspective of customers and competitors, the network service provider can establish baseline assessments of future pricing, volume levels, and investment returns.

Networks. This lens allows a company or its managers to look at the industry as a pattern of exchange relationships between paying customers and providers of services, equipment, chips, operating systems, and applications, and then to examine the properties of each exchange network. The analysis may reveal that not all innovations and new end-user technologies are equal: some provide an opportunity for differentiation at critical nodes in the network; others do not.

System dynamics. This flexon focuses attention on data-flow bottlenecks in applications ranging from e-mail and voice calls to video downloads, games, and social-networking interactions. 5 5. The information-processing flexon, which focuses attention on the computational tasks required to give users access to assured data streams, is also relevant for evaluating bottlenecks and facilitating predictions about how networks and operators will fare in the future. The company can build a network-optimization map to predict and optimize capital expenditures for network equipment as a function of expected demand, information usage, and existing constraints. Because cost structures matter deeply to annuity businesses (such as those of service providers) facing demand fluctuations, the resulting analysis may radically affect which services a company believes it can and cannot offer in years to come.

Flexons help turn chaos into order by representing ambiguous situations and predicaments as well-defined, analyzable problems of prediction and optimization. They allow us to move up and down between different levels of detail to consider situations in all their complexity. And, perhaps most important, flexons allow us to bring diversity inside the head of the problem solver, offering more opportunities to discover counterintuitive insights, innovative options, and unexpected sources of competitive advantage.

Olivier Leclerc is a principal in McKinsey’s Southern California office. Mihnea Moldoveanu is associate dean of the full-time MBA program at the University of Toronto’s Rotman School of Management, where he directs the Desautels Centre for Integrative Thinking.

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Article • 10 min read

Creative Problem Solving

Finding innovative solutions to challenges.

By the Mind Tools Content Team

Imagine that you're vacuuming your house in a hurry because you've got friends coming over. Frustratingly, you're working hard but you're not getting very far. You kneel down, open up the vacuum cleaner, and pull out the bag. In a cloud of dust, you realize that it's full... again. Coughing, you empty it and wonder why vacuum cleaners with bags still exist!

James Dyson, inventor and founder of Dyson® vacuum cleaners, had exactly the same problem, and he used creative problem solving to find the answer. While many companies focused on developing a better vacuum cleaner filter, he realized that he had to think differently and find a more creative solution. So, he devised a revolutionary way to separate the dirt from the air, and invented the world's first bagless vacuum cleaner. [1]

Creative problem solving (CPS) is a way of solving problems or identifying opportunities when conventional thinking has failed. It encourages you to find fresh perspectives and come up with innovative solutions, so that you can formulate a plan to overcome obstacles and reach your goals.

In this article, we'll explore what CPS is, and we'll look at its key principles. We'll also provide a model that you can use to generate creative solutions.

About Creative Problem Solving

Alex Osborn, founder of the Creative Education Foundation, first developed creative problem solving in the 1940s, along with the term "brainstorming." And, together with Sid Parnes, he developed the Osborn-Parnes Creative Problem Solving Process. Despite its age, this model remains a valuable approach to problem solving. [2]

The early Osborn-Parnes model inspired a number of other tools. One of these is the 2011 CPS Learner's Model, also from the Creative Education Foundation, developed by Dr Gerard J. Puccio, Marie Mance, and co-workers. In this article, we'll use this modern four-step model to explore how you can use CPS to generate innovative, effective solutions.

Why Use Creative Problem Solving?

Dealing with obstacles and challenges is a regular part of working life, and overcoming them isn't always easy. To improve your products, services, communications, and interpersonal skills, and for you and your organization to excel, you need to encourage creative thinking and find innovative solutions that work.

CPS asks you to separate your "divergent" and "convergent" thinking as a way to do this. Divergent thinking is the process of generating lots of potential solutions and possibilities, otherwise known as brainstorming. And convergent thinking involves evaluating those options and choosing the most promising one. Often, we use a combination of the two to develop new ideas or solutions. However, using them simultaneously can result in unbalanced or biased decisions, and can stifle idea generation.

For more on divergent and convergent thinking, and for a useful diagram, see the book "Facilitator's Guide to Participatory Decision-Making." [3]

Core Principles of Creative Problem Solving

CPS has four core principles. Let's explore each one in more detail:

• Divergent and convergent thinking must be balanced. The key to creativity is learning how to identify and balance divergent and convergent thinking (done separately), and knowing when to practice each one.
• Ask problems as questions. When you rephrase problems and challenges as open-ended questions with multiple possibilities, it's easier to come up with solutions. Asking these types of questions generates lots of rich information, while asking closed questions tends to elicit short answers, such as confirmations or disagreements. Problem statements tend to generate limited responses, or none at all.
• Defer or suspend judgment. As Alex Osborn learned from his work on brainstorming, judging solutions early on tends to shut down idea generation. Instead, there's an appropriate and necessary time to judge ideas during the convergence stage.
• Focus on "Yes, and," rather than "No, but." Language matters when you're generating information and ideas. "Yes, and" encourages people to expand their thoughts, which is necessary during certain stages of CPS. Using the word "but" – preceded by "yes" or "no" – ends conversation, and often negates what's come before it.

How to Use the Tool

Let's explore how you can use each of the four steps of the CPS Learner's Model (shown in figure 1, below) to generate innovative ideas and solutions.

Figure 1 – CPS Learner's Model

Explore the Vision

Identify your goal, desire or challenge. This is a crucial first step because it's easy to assume, incorrectly, that you know what the problem is. However, you may have missed something or have failed to understand the issue fully, and defining your objective can provide clarity. Read our article, 5 Whys , for more on getting to the root of a problem quickly.

Gather Data

Once you've identified and understood the problem, you can collect information about it and develop a clear understanding of it. Make a note of details such as who and what is involved, all the relevant facts, and everyone's feelings and opinions.

Formulate Questions

When you've increased your awareness of the challenge or problem you've identified, ask questions that will generate solutions. Think about the obstacles you might face and the opportunities they could present.

Explore Ideas

Generate ideas that answer the challenge questions you identified in step 1. It can be tempting to consider solutions that you've tried before, as our minds tend to return to habitual thinking patterns that stop us from producing new ideas. However, this is a chance to use your creativity .

Brainstorming and Mind Maps are great ways to explore ideas during this divergent stage of CPS. And our articles, Encouraging Team Creativity , Problem Solving , Rolestorming , Hurson's Productive Thinking Model , and The Four-Step Innovation Process , can also help boost your creativity.

See our Brainstorming resources within our Creativity section for more on this.

Formulate Solutions

This is the convergent stage of CPS, where you begin to focus on evaluating all of your possible options and come up with solutions. Analyze whether potential solutions meet your needs and criteria, and decide whether you can implement them successfully. Next, consider how you can strengthen them and determine which ones are the best "fit." Our articles, Critical Thinking and ORAPAPA , are useful here.

4. Implement

Formulate a plan.

Once you've chosen the best solution, it's time to develop a plan of action. Start by identifying resources and actions that will allow you to implement your chosen solution. Next, communicate your plan and make sure that everyone involved understands and accepts it.

There have been many adaptations of CPS since its inception, because nobody owns the idea.

For example, Scott Isaksen and Donald Treffinger formed The Creative Problem Solving Group Inc . and the Center for Creative Learning , and their model has evolved over many versions. Blair Miller, Jonathan Vehar and Roger L. Firestien also created their own version, and Dr Gerard J. Puccio, Mary C. Murdock, and Marie Mance developed CPS: The Thinking Skills Model. [4] Tim Hurson created The Productive Thinking Model , and Paul Reali developed CPS: Competencies Model. [5]

Sid Parnes continued to adapt the CPS model by adding concepts such as imagery and visualization , and he founded the Creative Studies Project to teach CPS. For more information on the evolution and development of the CPS process, see Creative Problem Solving Version 6.1 by Donald J. Treffinger, Scott G. Isaksen, and K. Brian Dorval. [6]

Creative Problem Solving (CPS) Infographic

See our infographic on Creative Problem Solving .

Creative problem solving (CPS) is a way of using your creativity to develop new ideas and solutions to problems. The process is based on separating divergent and convergent thinking styles, so that you can focus your mind on creating at the first stage, and then evaluating at the second stage.

There have been many adaptations of the original Osborn-Parnes model, but they all involve a clear structure of identifying the problem, generating new ideas, evaluating the options, and then formulating a plan for successful implementation.

[1] Entrepreneur (2012). James Dyson on Using Failure to Drive Success [online]. Available here . [Accessed May 27, 2022.]

[2] Creative Education Foundation (2015). The CPS Process [online]. Available here . [Accessed May 26, 2022.]

[3] Kaner, S. et al. (2014). 'Facilitator′s Guide to Participatory Decision–Making,' San Francisco: Jossey-Bass.

[4] Puccio, G., Mance, M., and Murdock, M. (2011). 'Creative Leadership: Skils That Drive Change' (2nd Ed.), Thousand Oaks, CA: Sage.

[5] OmniSkills (2013). Creative Problem Solving [online]. Available here . [Accessed May 26, 2022].

[6] Treffinger, G., Isaksen, S., and Dorval, B. (2010). Creative Problem Solving (CPS Version 6.1). Center for Creative Learning, Inc. & Creative Problem Solving Group, Inc. Available here .

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Five Steps to Implementing Innovation

We’re all familiar with stories about breakthrough products, services, and processes—the disruptors that grab the headlines and garner eye-popping valuations. And then there are the entrepreneurs who end up on the cover of Bloomberg Businessweek and write best-selling books about the keys to their success. The message seems to be that, through good timing or genius, innovation is the purview of a select few.

But at its core, innovation is simply a way to solve problems and create value in new ways. Overhauling an inefficient process, using customer feedback to breathe new life into a stale product—innovations don’t have to be splashy or game-changing to lead to sustained organizational success. These small but mighty initiatives seldom come from top management or an “idea lab,” but rather from individual contributors and frontline leaders who are closest to the customer and best positioned to understand their needs.

When employees from throughout the ranks learn to see themselves as innovators and take steps to make their ideas a reality, the results can be powerful. In addition to furthering a company’s purpose and bolstering its bottom line, employee-driven innovation engages people in ways that carrying out top-down directives never will.

Tips to get you started

Given the growing interest in innovation, it’s no surprise that organizations are looking for clear guidelines on how to implement it. Every innovation is unique. Even so, certain strategies and skills are useful across a range of projects and at all levels of an organization:

• Spot opportunities for innovation. As innovation expert Greg Satell puts it, “No matter what form innovation takes—short, agile sprints or long-term, grand-challenge investments—innovation is fundamentally about solving problems.” As you think about your organization, what problems need solving? Where do opportunities lie? Once you land on some promising ideas, continue to explore them from different angles. By doing so, you may discover even more exciting possibilities.
• Prioritize opportunities. You don’t have infinite time and resources, so prioritize potential innovations depending on where you think you’ll get the most bang for your buck. Narrow in on the two or three ideas you think are most worth digging into, testing, and refining. Then express them as hypotheses you can test through targeted experiments.
• Test your potential innovations. Keep your experiments modest in scope, especially when you’re starting out. You may want to begin with “paper prototypes,” or simple drawings of the new product or process that your end users can interact with to see what works and what doesn’t. They are quick and inexpensive, and they help you figure out where you need to tweak your concept. With each round of testing, move to progressively more complex experiments involving more users.
• Build support for your innovations. Don’t be shy. Make sure the time is right and tell your story to all your stakeholders, including those whose resource backing you need and those who’ll directly benefit from your innovation. You’ll want to tailor your approach based on what’s important to each person and what you need from them.
• Learn from your innovation efforts. You’ve probably heard the mantra “fail fast, learn fast.” After each innovation, list what you would do again and what you wouldn’t. And don’t overthink failure; the key is learn from it and apply those lessons to your next innovation.

We’ve seen these steps work at all levels in an organization. In fact, we even followed them when redesigning our Harvard ManageMentor® innovation-related topics. What process do you follow when implementing innovation in your organization?

Janice Molloy is senior manager, online learning at Harvard Business Publishing. Email her at [email protected] .

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Creativity & problem-solving.

The Laboratory for Innovation Science at Harvard (LISH) is conducting research and creating evidence-based approaches to problem-solving. Researchers at LISH are identifying the best way to approach a problem, starting with problem formulation, and experimenting with solvers on the best way to find solutions.

Key Questions

How does the nature of the problem to be solved impact the most optimal problem-solving approaches to be used?

How can problems be best formulated so that outsiders can help solve them, how does diversity in knowledge and skills impact problem-solving, can creativity be enhanced through teams and/or exposure to peers, these four research questions frame projects in this track, pushing the boundaries of medical imaging and computational biology through artificial intelligence and algorithm development, extensive crowdsourcing work with nasa and other federal agencies, and using data science to help create a history of the partition of british india. see below for more information on each of the individual projects in this research track., nasa tournament lab.

The NASA Tournament Lab was originally established in 2010 as a joint initiative between NASA’s Center of Excellence for Collaborative Innovation (CoECI), Harvard Business School, and the Institute for Quantitative Social Science, to design and field challenges and contests... Read more about NASA Tournament Lab

Computational Biology Algorithms

Drivers of medical imaging diagnoses, integrating crowds into academic labs, advanced analytics challenges.

With the digital transformation in business and academia, the demand for advanced data analytics is increasing. LISH partners with foundations, government agencies, and research labs to access data analytics solutions through the crowd.... Read more about Advanced Analytics Challenges

Crowdsourcing for Social Good

Crowdsourcing memories from the 1947 partition of british india.

Working with the Lakshmi Mittal and Family South Asia Institute at Harvard University, this project aims to collect and analyze oral histories and memories of the 1947 Partition of British India with a focus on minority voices. Aspects of this project include gathering discrete historical data such as locations and descriptions of refugee camps; mapping geographical locations... Read more about Crowdsourcing Memories from the 1947 Partition of British India

Developing a Process to Foster Co-creation by Patients and Caretakers and our Research Communities

A joint project with Harvard Catalyst — Reactor , this initiative aims to pair patient- and caregiver-derived solutions with research labs at Boston-area medical schools to develop innovative tools to benefit the patients, their disease communities, and others with similar needs.... Read more about Developing a Process to Foster Co-creation by Patients and Caretakers and our Research Communities

City Challenges

LISH researchers are designing experiments wrapped around NYU GovLab’s City Challenges. The City Challenges program aims to use competitions and coaching to solve urban problems. See here for information on a prior challenge.

Related Publications

Free and Open Source Software (FOSS) has become a critical part of the modern economy. There are tens of millions of FOSS projects, many of which are built into software and products we use every day. However, it is difficult to fully understand the health, economic value, and security of FOSS because it is produced in a decentralized and distributed manner. This distributed development approach makes it unclear how much FOSS, and precisely what FOSS projects, are most widely used. This lack of understanding is a critical problem faced by those who want to help enhance the security of FOSS (e.g., companies, governments, individuals), yet do not know what projects to start with. This problem has garnered widespread attention with the Heartbleed and log4shell vulnerabilities that resulted in the susceptibility of hundreds of millions of devices to exploitation.

This report, Census II, is the second investigation into the widespread use of FOSS and aggregates data from over half a million observations of FOSS libraries used in production applications at thousands of companies, which aims to shed light on the most commonly used FOSS packages at the application library level. This effort builds on the Census I report that focused on the lower level critical operating system libraries and utilities, improving our understanding of the FOSS packages that software applications rely on. Such insights will help to identify critical FOSS packages to allow for resource prioritization to address security issues in this widely used software.

The Census II effort utilizes data from partner Software Composition Analysis (SCA) companies including Snyk, the Synopsys Cybersecurity Research Center (CyRC), and FOSSA, which partnered with Harvard to advance the state of open source research. Our goal is to not only identify the most widely used FOSS, but to also provide an example of how the distributed nature of FOSS requires a multi-party effort to fully understand the value and security of the FOSS ecosystem. Only through data-sharing, coordination, and investment will the value of this critical component of the digital economy be preserved for generations to come.

In addition to the detailed results on FOSS usage provided in the report, we identified five high-level findings: 1) the need for a standardized naming schema for software components, 2) the complexities associated with package versions, 3) much of the most widely used FOSS is developed by only a handful of contributors, 4) the increasing importance of individual developer account security, and 5) the persistence of legacy software in the open source space.

Karim R. Lakhani, Anne-Laure Fayard, Manos Gkeredakis, and Jin Hyun Paik . 10/5/2020. “ OpenIDEO (B) ”. Publisher's Version Abstract In the midst of 2020, as the coronavirus pandemic was unfolding, OpenIDEO - an online open innovation platform focused on design-driven solutions to social issues - rapidly launched a new challenge to improve access to health information, empower communities to stay safe during the COVID-19 crisis, and inspire global leaders to communicate effectively. OpenIDEO was particularly suited to challenges which required cross-system or sector-wide collaboration due to its focus on social impact and ecosystem design, but its leadership pondered how they could continue to improve virtual collaboration and to share their insights from nearly a decade of running online challenges. Conceived as an exercise of disruptive digital innovation, OpenIDEO successfully created a strong open innovation community, but how could they sustain - or even improve - their support to community members and increase the social impact of their online challenges in the coming years?

This paper presents NASA’s experience using a Center of Excellence (CoE) to scale and sustain an open innovation program as an effective problem-solving tool and includes strategic management recommendations for other organizations based on lessons learned.

This paper defines four phases of implementing an open innovation program: Learn, Pilot, Scale and Sustain. It provides guidance on the time required for each phase and recommendations for how to utilize a CoE to succeed. Recommendations are based upon the experience of NASA’s Human Health and Performance Directorate, and experience at the Laboratory for Innovation Science at Harvard running hundreds of challenges with research and development organizations.

Lessons learned include the importance of grounding innovation initiatives in the business strategy, assessing the portfolio of work to select problems most amenable to solving via crowdsourcing methodology, framing problems that external parties can solve, thinking strategically about early wins, selecting the right platforms, developing criteria for evaluation, and advancing a culture of innovation. Establishing a CoE provides an effective infrastructure to address both technical and cultural issues.

The NASA experience spanned more than seven years from initial learnings about open innovation concepts to the successful scaling and sustaining of an open innovation program; this paper provides recommendations on how to decrease this timeline to three years.

BACKGROUND: The association of differing genotypes with disease-related phenotypic traits offers great potential to both help identify new therapeutic targets and support stratification of patients who would gain the greatest benefit from specific drug classes. Development of low-cost genotyping and sequencing has made collecting large-scale genotyping data routine in population and therapeutic intervention studies. In addition, a range of new technologies is being used to capture numerous new and complex phenotypic descriptors. As a result, genotype and phenotype datasets have grown exponentially. Genome-wide association studies associate genotypes and phenotypes using methods such as logistic regression. As existing tools for association analysis limit the efficiency by which value can be extracted from increasing volumes of data, there is a pressing need for new software tools that can accelerate association analyses on large genotype-phenotype datasets.

RESULTS: Using open innovation (OI) and contest-based crowdsourcing, the logistic regression analysis in a leading, community-standard genetics software package (PLINK 1.07) was substantially accelerated. OI allowed us to do this in <6 months by providing rapid access to highly skilled programmers with specialized, difficult-to-find skill sets. Through a crowd-based contest a combination of computational, numeric, and algorithmic approaches was identified that accelerated the logistic regression in PLINK 1.07 by 18- to 45-fold. Combining contest-derived logistic regression code with coarse-grained parallelization, multithreading, and associated changes to data initialization code further developed through distributed innovation, we achieved an end-to-end speedup of 591-fold for a data set size of 6678 subjects by 645 863 variants, compared to PLINK 1.07's logistic regression. This represents a reduction in run time from 4.8 hours to 29 seconds. Accelerated logistic regression code developed in this project has been incorporated into the PLINK2 project.

CONCLUSIONS: Using iterative competition-based OI, we have developed a new, faster implementation of logistic regression for genome-wide association studies analysis. We present lessons learned and recommendations on running a successful OI process for bioinformatics.

Tomohiro Ishibashi (Bashi), chief executive officer for B to S, and Julia Foote LeStage, chief innovation officer of Weathernews Inc., were addressing a panel at the HBS Digital Summit on creative uses of big data. They told the summit attendees about how the Sakura (cherry blossoms) Project, where the company asked users in Japan to report about how cherry blossoms were blooming near them day by day, had opened up opportunities for the company's consumer business in Japan. The project ultimately garnered positive publicity and became a foothold to building the company's crowdsourcing weather-forecasting service in Japan. It changed the face of weather forecasting in Japan. Bashi and LeStage wondered whether the experience could be applied to the U.S. market.

Most United States Patent and Trademark Office (USPTO) patent documents contain drawing pages which describe inventions graphically. By convention and by rule, these drawings contain figures and parts that are annotated with numbered labels but not with text. As a result, readers must scan the document to find the description of a given part label. To make progress toward automatic creation of ‘tool-tips’ and hyperlinks from part labels to their associated descriptions, the USPTO hosted a monthlong online competition in which participants developed algorithms to detect figures and diagram part labels. The challenge drew 232 teams of two, of which 70 teams (30 %) submitted solutions. An unusual feature was that each patent was represented by a 300-dpi page scan along with an HTML file containing patent text, allowing integration of text processing and graphics recognition in participant algorithms. The design and performance of the top-5 systems are presented along with a system developed after the competition, illustrating that the winning teams produced near state-of-the-art results under strict time and computation constraints. The first place system used the provided HTML text, obtaining a harmonic mean of recall and precision (F-measure) of 88.57 % for figure region detection, 78.81 % for figure regions with correctly recognized figure titles, and 70.98 % for part label detection and recognition. Data and source code for the top-5 systems are available through the online UCI Machine Learning Repository to support follow-on work by others in the document recognition community.

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Invention and Innovation as Creative Problem-Solving Activities

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• Frank Beckenbach 2 &
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Creativity ; Novelty creation

Background: Microeconomics of Novelty Creation and Problem Solving

Obviously, invention and innovation can be hardly analyzed from the usual cost/benefit perspective of economics. These processes are conjectural by their very nature:

Because ex ante results of the search endeavor cannot reasonably be anticipated (or even expected)

Because there is no guarantee for the social acceptance of a possible result

Because there is the risk that an accepted result cannot be used as a source of (additional) private yield (Nelson 1959a , b , 1982 )

Due to these intricacies, invention and innovation have previously been either considered as coming “out of the blue” (Kirzner 1979 ; Vromen 2001 ) or have been simply postulated as an outcome of mesopatterns in terms of paradigms, routines, and institutions (Dosi 1988 ; Lundvall 1992 ).

Notwithstanding these caveats and provisos, various attempts to conceptualize the novelty creating process from a microeconomic...

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Beckenbach, F., Daskalakis, M. (2020). Invention and Innovation as Creative Problem-Solving Activities. In: Carayannis, E.G. (eds) Encyclopedia of Creativity, Invention, Innovation and Entrepreneurship. Springer, Cham. https://doi.org/10.1007/978-3-319-15347-6_370

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4.1 Tools for Creativity and Innovation

Learning objectives.

By the end of this section, you will be able to:

• Describe popular, well-supported, creative problem-solving methods
• Understand which innovation or problem-solving methods apply best in different settings
• Know where to look for emerging innovation practices, research, and tools

Creativity, innovation, and invention are key concepts for your entrepreneurial journey. Fostering creativity and innovation will add essential tools to your entrepreneurial toolkit. In this chapter, first you’ll learn about a few practical tools that can assist you in your efforts to create and innovate. Then, we’ll define and distinguish creativity, innovation, and invention, and note the differences between pioneering and incremental innovation. Finally, we’ll cover models and processes for developing creativity, innovation, and inventiveness. The science, study, and practice of creativity and design thinking are constantly evolving. Staying on top of well-documented, successful approaches can give you a competitive advantage and may remind you that entrepreneurship can be fun, exciting, and refreshing, as long as you keep your creative spirit alive and in constant motion.

Creative Problem-Solving Methods

Creative thinking can take various forms ( Figure 4.2 ). This section focuses on a few creative thinking exercises that have proven useful for entrepreneurs. After discussing ideation practices that you can try, we conclude with a discussion of an in-depth innovation exercise that can help you develop a habit of turning creative ideas into innovative products and services. In this section, outcomes are vital.

Three ideation practices are discussed here. Several others are offered in links at the end of this section. The first ideation practice comes from Stanford’s Design School. 2 The objective is to generate as many ideas as possible and start to develop some of those ideas. This practice is the quintessential design thinking practice, or human-centric design thinking exercise, and it consists of five parts: accessing and expressing empathy, defining the problem, ideating solutions (brainstorming), prototyping, and testing ( Figure 4.3 ). Empathy is the human ability to feel what other humans are feeling, which in the context of creativity, innovation, and invention is essential to beginning a process of human-centric design. Practicing empathy enables us to relate to people and see the problem through the eyes and feelings of those who experience it. By expressing empathy, you can begin to understand many facets of a problem and start to think about all of the forces you will need to bring to bear on it. From empathy comes the ability to proceed to the second step, defining the problem. Defining the problem must be based on honest, rational, and emotional observation for human-centric design to work. Third in the process is brainstorming solutions. The other two ideation exercises or practices in this section delve more deeply into brainstorming (also discussed in Problem Solving and Need Recognition Techniques ), what it means, and how you can brainstorm creatively beyond the basic whiteboard scribbling in almost every organization. Designing for other people means building a prototype—the fourth step—and to test it. Once you apply this process to developing a product or service, you need to return to the empathetic mindset to examine whether you have reached a viable solution and, thus, an opportunity.

Link to Learning

Watch this video on human-centered design for more information, including an explanation of the phases involved.

To delve more deeply into ideation as a practice, we introduce here the Six Thinking Hats method ( Figure 4.4 ). 3 There are different versions of this ideation game, but all of them are quite useful for encouraging thought by limiting the mindset of those involved in the game. Being encouraged to embody one mode of thinking frees you from considering other aspects of a problem that can limit creativity when you are looking for a solution. The six hats are:

• White Hat: acts as information gatherer by conducting research and bringing quantitative analysis to the discussion; sticks to the facts
• Red Hat: brings raw emotion to the mix and offers sensibilities without having to justify them
• Black Hat: employs logic and caution; warns participants about institutional limitations; also known as the “devil’s advocate”
• Yellow Hat: brings the “logical positive” of optimism to the group; encourages solving small and large problems
• Green Hat: thinks creatively; introduces change and provokes other members when needed; new ideas are the purview of the Green Hat
• Blue Hat: maintains the broader structure of the discussion and may set the terms by which progress will be judged; makes sure the other hats play by the rules, or stay in their respective lanes, so to speak

You can apply the Six Thinking Hats exercise to force structure on a discussion where, without it, several members of the group might try to wear several hats each. This game is not always easy to implement. If members cannot follow the rules, the process breaks down. When it works best, the Blue Hat maintains control and keeps the practice moving quickly. What you and your group should experience is a peculiar freedom arising from the imposition of limitations. By being responsible for only one mode of thinking, each participant can fully advocate for that point of view and can think deeply about that particular aspect of the solution. Thus, the group can be deeply creative, deeply logical, deeply optimistic, and deeply critical. This practice is meant to move entire groups past surface-level solutions. If you practice this exercise well, the challenges of implementing it are well worth the effort. It gives you the opportunity to vet ideas thoroughly while keeping many personality clashes at bay. If the participants stay in character, they can be accused only of acting in the best interests of their hat.

Your instructor may have your group members try different hats in different ideation exercises so you all can more fully develop each mindset. 4 This exercise forces you out of your most comfortable modes of thinking. You and your classmates can recognize in each other skills that you may not have realized you possess.

The third ideation practice is quite simple. If stagnant thinking has begun to dominate an ongoing discussion, it can be helpful to inject an ideation framework. This is the “ statement starters ” method. 5 Ask, “How might we ________?” or “What if we ________?” in order to open up new possibilities when you seem to have reached the limits of creativity. This method is more than simply asking “Why not?” because it seeks to uncover how a problem might be solved. For entrepreneurs, the simplest form of framing a problem in the form of a question can be eye opening. It assumes open possibilities, invites participation, and demands focus. Statement starters assume that, at least, there might be a solution to every problem. Ideation is about starting down new paths. This mode of thought applies to social problems as well as consumer pain points (discussed later). Creating a list of statement starters can help entrepreneurs examine different possibilities by simply adopting different points of view when asking questions. For example, the question, “How might we keep rivers clean?” is similar to the question, “How might we prevent animal waste runoff from entering our city’s waterways?” but the implications of each question are different for different stakeholders. Recall that stakeholders are individuals who have a vital interest in the business or organization. Statement starters almost always lead to a discussion of stakeholders and how they might be involved in finding solutions, offering support, and perhaps one day purchasing or contributing to dynamic, disruptive inventions or changes in social practice.

Are you curious about ways to improve your ability to think creatively? Consider trying out some of the creative thinking exercises provided at this site.

Matching Innovation Methods to Circumstances

Searching for innovation methods will often reveal many of the same, or similar, creativity exercises as we’ve just discussed. To go beyond ideation exercises, we will conclude with a foundation of thinking that can help when you are tackling all sorts of innovation problems. Simply put, open innovation involves searching for and finding solutions outside of the organizational structure. Open innovation is somewhat difficult to pin down. The educator and author Henry Chesbrough was one of the first to define it: “Open innovation is ‘the use of purposive inflows and outflows of knowledge to accelerate internal innovation, and expand the markets for external use of innovation, respectively.’” 6 In other words, firms built on a structure of open innovation look beyond their own research and development capabilities to solve problems. This outlook can guide all sorts of product and service development processes. Open innovation models also allow innovations to be shared widely so that they can seed other innovations outside the original firm or institution.

Open innovation takes an optimistic view of sharing information and ideas across a society connected by instantaneous communication networks. It is also a shift from the classic research and development model. In a sense, you allow others to solve problems in your business, startup, or social entrepreneurship project. In this reciprocal world, you are open to the reality that information is difficult to keep under wraps. You may seek patents for your intellectual property, particularly in fixed product or service practice form, but you should expect, or even encourage, the widespread circulation of key elements of your solutions. This makes sense: If, as an entrepreneur or an innovative corporation, you are going to look beyond your own ideation, research, and development capabilities for solutions, you must expect that others will look to your solutions for ideas to borrow.

The open innovation model is far easier to describe in idealistic terms than it is to put into practice without ethical consequences. Unfortunately, industrial and corporate espionage, theft of intellectual property, and lawsuits are commonplace. Nevertheless, inspiration in innovation can come from myriad sources when constant streams of information are available to anyone with a high-speed data connection. Open innovation is a simple but essential framework for future innovation and for managing, even possibly guiding, disruption in an industry as discussed previously (i.e., disruptive innovation). Table 4.1 provides some examples of companies using disruptive technology.

Another element of the open innovation model is the connection between academic research and practical solutions. Reciprocal influence between academia, which often moves slowly, and leading corporate and entrepreneurial forces, which often focus too narrowly on short-term gains, could offer the balance this rapidly changing world needs. If you can manage to plug into the exchange of ideas between longstanding institutions and disruptive technological innovators, you may be positioned to effect positive change on society and to develop products that are received as useful and elegant, wildly new and creative, and essential to the human experience at the same time.

Staying on Top of Emerging Practices

Consider searching for ideation and innovation practice links using a web browser and comparing those results to what you can find in the academic literature via Google Scholar or other academic databases. To adopt a truly open innovation mindset, it is essential to leave yourself open to all sorts of influences, even if it demands time and much cognitive energy. The financial, social, and personal rewards may be great.

• 2 Stanford d.school. https://dschool.stanford.edu/
• 3 “10 Creative Techniques for You and Your Team.” MiroBlog . n.d. https://miro.com/blog/creative-techniques/
• 4 “Six Thinking Hats.” The de Bono Group . n.d. http://www.debonogroup.com/six_thinking_hats.php
• 5 Michelle Ferrier. “Ideation.” Media Innovation and Entrepreneurship . n.d. https://press.rebus.community/media-innovation-and-entrepreneurship/chapter/ideation-2/
• 6 Henry Chesbrough. “Everything You Need to Know about Open Innovation.” Forbes . March 21, 2011. https://www.forbes.com/sites/henrychesbrough/2011/03/21/everything-you-need-to-know-about-open-innovation/#1861dd5275f4

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From ideas to impact: Cultivating a culture of innovation at work

Cultivate a culture of innovation at work Image:  Freepik

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Stay up to date:, jobs and skills.

• Learn how to foster a culture of innovation within your organization and unlock its potential for growth and success.
• Discover strategies for nurturing creativity, encouraging collaboration, and embracing risk-taking to drive innovation forward.
• Explore the importance of creating an environment that values and rewards innovative thinking, empowering employees to think outside the box.
• Gain insights into real-world examples and best practices from companies that have successfully built a culture of innovation and reaped its benefits.

The pace and magnitude of the changes organizations must contend with today have made creating a culture of innovation an absolute necessity. Occasional innovation is not enough to remain competitive or support long-term survival.

Fostering this sort of culture makes innovation an organizational priority, which prevents leaders and teams from getting mired in the status quo and missing the opportunities that come with change.

Creating a culture of innovation: 7 key steps

Fostering an innovation culture requires aligning values, policies, and procedures with the goal of continuous improvement. It’s a collaborative effort involving multiple organizational levels, operational units, and functions. Here are seven ways to get started.

It starts with hiring…

Creating a culture of innovation begins with recruiting and hiring. Experts warn against letting unconscious biases which favor the familiar influence hiring decisions. The tendency to hire people with interests and backgrounds similar to those of the people doing the hiring can lead to a high degree of homogeneity and groupthink, which works against creativity.

Diverse perspectives are essential to innovation. According to innovation strategist Alex Gonzalez , it’s dangerous “not to bring a multitude of voices, values, thought mechanisms, needs, and belief systems to the innovation gallery.”

Many organizations are employing proven methods to prevent different forms of unintentional bias from influencing hiring decisions. Best practices for this purpose include standardizing the selection criteria to provide a comparable experience for all candidates, blind resume evaluations, interviews conducted by a diverse panel, and more.

Promote never-ending learning

Research shows that high-performing learning organizations are 92% more likely to innovate. L&D teams can play a key role in creating a culture of innovation by communicating and reinforcing continuous improvement as a shared value throughout the organization.

Employees must also learn the “how to” skills for innovation. These include capabilities such as problem-solving, design thinking, data analysis, and collaboration. Additionally, L&D can provide leaders with training on strategies for fostering an environment of psychological safety . This sort of environment encourages experimentation and risk-taking, without the fear of failure.

In studying the science of productivity, Pulitzer-Prize winning reporter Charles Duhigg came across hundreds of examples demonstrating that “stretch goals” are the foundation of soaring innovation. After WWII, for example, the head of the railway system in Japan tasked engineers with building a train that could go 120 miles per hour, more than twice as fast as the fastest train to date. Faced with this challenge, the engineers had to think radically different than they had previously.

Innovation occurs when employees are encouraged to dream big, to aim higher than most would consider reasonable. In the video below, Duhigg explains how leaders can initiate stretch goals to achieve truly disruptive innovation. For example, stretch goals shouldn’t be constrained by existing technology, infrastructure, or imagined feasibility.

Put an end to micromanaging

Middle managers play an essential role in creating a culture of innovation: empowering their direct reports and resisting the urge to micromanage. Micromanagers tend to use the authority of their position to control how work gets done, create unnecessary bottlenecks, and focus on employees’ weaknesses and failures. All of this has a negative impact on engagement, productivity, and teamwork.

Middle managers must learn to recognize their direct reports’ skills and knowledge, and reward their efforts and accomplishments. Resisting the temptation to micromanage also requires managers to trust their teams to operate with greater autonomy. When empowered to come up with their own solutions, employees are unbound from the way things have been done in the past. They’re then far more likely to unleash their creativity, share ideas, and experiment with the confidence that comes from knowing their contributions are respected.

Bust hierarchy and silos

At an organizational level, major barriers to creating a culture of innovation include the rigid hierarchical nature of many companies and departmental silos that are antithetical to the free flow of knowledge. However, most innovation occurs at the interfaces between vertical silos and requires horizontal collaboration.

Eliminating these barriers starts at the top. Dr. Waguih Ishak – chief technologist at Corning Research & Development Corporation – suggests , “You can reinforce the cultural benefits of innovation parenting by opening up organizational space to allow innovators to bypass barriers and hierarchies that often sap creativity.”

Have you read?

4 ways to create an impactful innovation culture at your company, how can your company create a culture of innovation, become deliberate listeners.

Creating a culture of innovation requires connecting with the world beyond the organization’s four walls. Product and marketing teams must learn to listen deliberately to the voice of the customer, pinpointing their challenges and needs rather than making assumptions. Those who work closest with buyers must also have a mechanism for sharing the information they acquire with other groups throughout the organization.

For example, Amazon describes how the company drives continuous innovation by staying close to their customers, the problems they face, and how their needs evolve over time. Amazon calls this “ customer-centric innovation ,” a process which requires building a data-driven “culture of customer obsession.”

The Cultural Leaders network convenes influential artists, cultural leaders and cultural institutions to engage them in the work of the World Economic Forum and to recognize the importance of cultural dimensions in all major issues.

Cultural Leaders help promote and advance inclusive and sustainable cultural change. The World Economic Forum collaborates with Cultural Leaders by co-developing exhibitions, performance, experiences and panels at our global and regional physical and virtual events, by commissioning and producing new work, and by engaging them in Forum projects such as the New Narratives Lab .

Examples include the Emmy-Award winning VR documentaries “ Awavena ” and “ Collisions ”, which was screened at the Australian Parliament and influenced the vote of new resolution to ban nuclear weapons, The Afghan Women’s Orchestra tour , which started a national dialogue on education, and the “ ACCESS+ABILITY ” exhibition on disability inclusion, co-curated with the Cooper-Hewitt, Smithsonian Design Museum.

Foster belonging

A culture of innovation can only arise within an organizational climate where acceptance and belonging are evident. In many ways, innovation is a natural byproduct of inclusivity. According to the Center for Creative Leadership, when people consistently feel included and experience a sense of belonging in their workplace, they’re more willing to take risks and be transparent about their ideas, even ones that seem over-the-top.

Innovation is a natural byproduct of inclusivity.

Belonging fosters an innovation mindset characterized by curiosity and is an integral aspect of a psychologically safe work environment. In this sort of environment, collaboration takes precedence over competition and all perspectives are equally valued.

Final thoughts

Creating a culture of innovation requires champions and cheerleaders at every level and in every function within an organization. Their role is to spearhead and sustain the cultural changes that support the free flow of information, employee empowerment, collaborative problem-solving, and initiative that lead to innovation and make an organization dynamic, responsive, adaptable, and resilient.

In the words of The Walt Disney Company’s CEO Bob Iger, “The riskiest thing we can do is just maintain the status quo.” Without a high level of commitment throughout the organization to establish the conditions that foster innovation, that risk can be very real.

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World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

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What Is Design Thinking & Why Is It Important?

• 18 Jan 2022

In an age when innovation is key to business success and growth, you’ve likely come across the term “design thinking.” Perhaps you’ve heard it mentioned by a senior leader as something that needs to be utilized more, or maybe you’ve seen it on a prospective employee's resume.

While design thinking is an ideology based on designers’ workflows for mapping out stages of design, its purpose is to provide all professionals with a standardized innovation process to develop creative solutions to problems—design-related or not.

Why is design thinking needed? Innovation is defined as a product, process, service, or business model featuring two critical characteristics: novel and useful. Yet, there’s no use in creating something new and novel if people won’t use it. Design thinking offers innovation the upgrade it needs to inspire meaningful and impactful solutions.

But what is design thinking, and how does it benefit working professionals?

What Is Design Thinking?

Design thinking is a mindset and approach to problem-solving and innovation anchored around human-centered design . While it can be traced back centuries—and perhaps even longer—it gained traction in the modern business world after Tim Brown, CEO and president of design company IDEO, published an article about it in the Harvard Business Review .

Design thinking is different from other innovation and ideation processes in that it’s solution-based and user-centric rather than problem-based. This means it focuses on the solution to a problem instead of the problem itself.

For example, if a team is struggling with transitioning to remote work, the design thinking methodology encourages them to consider how to increase employee engagement rather than focus on the problem (decreasing productivity).

The essence of design thinking is human-centric and user-specific. It’s about the person behind the problem and solution, and requires asking questions such as “Who will be using this product?” and “How will this solution impact the user?”

The first, and arguably most important, step of design thinking is building empathy with users. By understanding the person affected by a problem, you can find a more impactful solution. On top of empathy, design thinking is centered on observing product interaction, drawing conclusions based on research, and ensuring the user remains the focus of the final implementation.

The Four Phases of Innovation

So, what does design thinking entail? There are many models of design thinking that range from three to seven steps.

In the online course Design Thinking and Innovation , Harvard Business School Dean Srikant Datar leverages a four-phase innovation framework. The phases venture from concrete to abstract thinking and back again as the process loops, reverses, and repeats. This is an important balance because abstract thinking increases the likelihood that an idea will be novel. It’s essential, however, to anchor abstract ideas in concrete thinking to ensure the solution is valid and useful.

Here are the four phases for effective innovation and, by extension, design thinking.

The first phase is about narrowing down the focus of the design thinking process. It involves identifying the problem statement to come up with the best outcome. This is done through observation and taking the time to determine the problem and the roadblocks that prevented a solution in the past.

Various tools and frameworks are available—and often needed—to make concrete observations about users and facts gathered through research. Regardless of which tools are implemented, the key is to observe without assumptions or biased expectations.

Once findings from your observations are collected, the next step is to shape insights by framing those observations. This is where you can venture into the abstract by reframing the problem in the form of a statement or question.

Once the problem statement or question has been solidified—not finalized—the next step is ideation. You can use a tool such as systematic inventive thinking (SIT) in this stage, which is useful for creating an innovative process that can be replicated in the future.

The goal is to ultimately overcome cognitive fixedness and devise new and innovative ideas that solve the problems you identified. Continue to actively avoid assumptions and keep the user at the forefront of your mind during ideation sessions.

The third phase involves developing concepts by critiquing a range of possible solutions. This includes multiple rounds of prototyping, testing, and experimenting to answer critical questions about a concept’s viability.

Remember: This step isn’t about perfection, but rather, experimenting with different ideas and seeing which parts work and which don’t.

4. Implement

The fourth and final phase, implementation, is when the entire process comes together. As an extension of the develop phase, implementation starts with testing, reflecting on results, reiterating, and testing again. This may require going back to a prior phase to iterate and refine until you find a successful solution. Such an approach is recommended because design thinking is often a nonlinear, iterative process.

In this phase, don’t forget to share results with stakeholders and reflect on the innovation management strategies implemented during the design thinking process. Learning from experience is an innovation process and design thinking project all its own.

Check out the video about the design thinking process below, and subscribe to our YouTube channel for more explainer content!

Why Design Thinking Skills Matter

The main value of design thinking is that it offers a defined process for innovation. While trial and error is a good way to test and experiment what works and what doesn’t, it’s often time-consuming, expensive, and ultimately ineffective. On the other hand, following the concrete steps of design thinking is an efficient way to develop new, innovative solutions.

On top of a clear, defined process that enables strategic innovation, design thinking can have immensely positive outcomes for your career—in terms of both advancement and salary.

As of December 2021, the most common occupations requiring design thinking skills were:

• Marketing managers
• Industrial engineers
• Graphic designers
• Software developers
• General and operations managers
• Management analysts
• Personal service managers
• Architectural and engineering managers
• Computer and information systems managers

In addition, jobs that require design thinking statistically have higher salaries. Take a marketing manager position, for example. The median annual salary is $107,900. Marketing manager job postings that require design thinking skills, however, have a median annual salary of $133,900—a 24 percent increase.

Overall, businesses are looking for talent with design thinking skills. As of November 2021, there were 29,648 job postings in the United States advertising design thinking as a necessary skill—a 153 percent increase from November 2020, and a 637 percent increase from November 2017.

As businesses continue to recognize the need for design thinking and innovation, they’ll likely create more demand for employees with those skills.

Learning Design Thinking

Design thinking is an extension of innovation that allows you to design solutions for end users with a single problem statement in mind. It not only imparts valuable skills but can help advance your career.

It’s also a collaborative endeavor that can only be mastered through practice with peers. As Datar says in the introduction to Design Thinking and Innovation : “Just as with learning how to swim, the best way to practice is to jump in and try.”

If you want to learn design thinking, take an active role in your education. Start polls, problem-solving exercises, and debates with peers to get a taste of the process. It’s also important to seek out diverse viewpoints to prepare yourself for the business world.

In addition, if you’re considering adding design thinking to your skill set, think about your goals and why you want to learn about it. What else might you need to be successful?

You might consider developing your communication, innovation, leadership, research, and management skills, as those are often listed alongside design thinking in job postings and professional profiles.

You may also notice skills like agile methodology, user experience, and prototyping in job postings, along with non-design skills, such as product management, strategic planning, and new product development.

Is Design Thinking Right for You?

There are many ways to approach problem-solving and innovation. Design thinking is just one of them. While it’s beneficial to learn how others have approached problems and evaluate if you have the same tools at your disposal, it can be more important to chart your own course to deliver what users and customers truly need.

You can also pursue an online course or workshop that dives deeper into design thinking methodology. This can be a practical path if you want to improve your design thinking skills or require a more collaborative environment.

Are you ready to develop your design thinking skills? Explore our online course Design Thinking and Innovation to discover how to leverage fundamental design thinking principles and innovative problem-solving tools to address business challenges.

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A Better Framework for Solving Tough Problems

Start with trust and end with speed.

• Apple Podcasts

When it comes to solving complicated problems, the default for many organizational leaders is to take their time to work through the issues at hand. Unfortunately, that often leads to patchwork solutions or problems not truly getting resolved.

But Anne Morriss offers a different framework. In this episode, she outlines a five-step process for solving any problem and explains why starting with trust and ending with speed is so important for effective change leadership. As she says, “Let’s get into dialogue with the people who are also impacted by the problem before we start running down the path of solving it.”

Morriss is an entrepreneur and leadership coach. She’s also the coauthor of the book, Move Fast and Fix Things: The Trusted Leader’s Guide to Solving Hard Problems .

Key episode topics include: strategy, decision making and problem solving, strategy execution, managing people, collaboration and teams, trustworthiness, organizational culture, change leadership, problem solving, leadership.

HBR On Strategy curates the best case studies and conversations with the world’s top business and management experts, to help you unlock new ways of doing business. New episodes every week.

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HANNAH BATES: Welcome to HBR On Strategy , case studies and conversations with the world’s top business and management experts, hand-selected to help you unlock new ways of doing business.

When it comes to solving complicated problems, many leaders only focus on the most apparent issues. Unfortunately that often leads to patchwork or partial solutions. But Anne Morriss offers a different framework that aims to truly tackle big problems by first leaning into trust and then focusing on speed.

Morriss is an entrepreneur and leadership coach. She’s also the co-author of the book, Move Fast and Fix Things: The Trusted Leader’s Guide to Solving Hard Problems . In this episode, she outlines a five-step process for solving any problem. Some, she says, can be solved in a week, while others take much longer. She also explains why starting with trust and ending with speed is so important for effective change leadership.

This episode originally aired on HBR IdeaCast in October 2023. Here it is.

CURT NICKISCH: Welcome to the HBR IdeaCast from Harvard Business Review. I’m Curt Nickisch.

Problems can be intimidating. Sure, some problems are fun to dig into. You roll up your sleeves, you just take care of them; but others, well, they’re complicated. Sometimes it’s hard to wrap your brain around a problem, much less fix it.

And that’s especially true for leaders in organizations where problems are often layered and complex. They sometimes demand technical, financial, or interpersonal knowledge to fix. And whether it’s avoidance on the leaders’ part or just the perception that a problem is systemic or even intractable, problems find a way to endure, to keep going, to keep being a problem that everyone tries to work around or just puts up with.

But today’s guest says that just compounds it and makes the problem harder to fix. Instead, she says, speed and momentum are key to overcoming a problem.

Anne Morriss is an entrepreneur, leadership coach and founder of the Leadership Consortium and with Harvard Business School Professor Francis Frei, she wrote the new book, Move Fast and Fix Things: The Trusted Leaders Guide to Solving Hard Problems . Anne, welcome back to the show.

ANNE MORRISS: Curt, thank you so much for having me.

CURT NICKISCH: So, to generate momentum at an organization, you say that you really need speed and trust. We’ll get into those essential ingredients some more, but why are those two essential?

ANNE MORRISS: Yeah. Well, the essential pattern that we observed was that the most effective change leaders out there were building trust and speed, and it didn’t seem to be a well-known observation. We all know the phrase, “Move fast and break things,” but the people who were really getting it right were moving fast and fixing things, and that was really our jumping off point. So when we dug into the pattern, what we observed was they were building trust first and then speed. This foundation of trust was what allowed them to fix more things and break fewer.

CURT NICKISCH: Trust sounds like a slow thing, right? If you talk about building trust, that is something that takes interactions, it takes communication, it takes experiences. Does that run counter to the speed idea?

ANNE MORRISS: Yeah. Well, this issue of trust is something we’ve been looking at for over a decade. One of the headlines in our research is it’s actually something we’re building and rebuilding and breaking all the time. And so instead of being this precious, almost farbege egg, it’s this thing that is constantly in motion and this thing that we can really impact when we’re deliberate about our choices and have some self-awareness around where it’s breaking down and how it’s breaking down.

CURT NICKISCH: You said break trust in there, which is intriguing, right? That you may have to break trust to build trust. Can you explain that a little?

ANNE MORRISS:  Yeah, well, I’ll clarify. It’s not that you have to break it in order to build it. It’s just that we all do it some of the time. Most of us are trusted most of the time. Most of your listeners I imagine are trusted most of the time, but all of us have a pattern where we break trust or where we don’t build as much as could be possible.

CURT NICKISCH: I want to talk about speed, this other essential ingredient that’s so intriguing, right? Because you think about solving hard problems as something that just takes a lot of time and thinking and coordination and planning and designing. Explain what you mean by it? And also, just  how we maybe approach problems wrong by taking them on too slowly?

ANNE MORRISS: Well, Curt, no one has ever said to us, “I wish I had taken longer and done less.” We hear the opposite all the time, by the way. So what we really set out to do was to create a playbook that anyone can use to take less time to do more of the things that are going to make your teams and organizations stronger.

And the way we set up the book is okay, it’s really a five step process. Speed is the last step. It’s the payoff for the hard work you’re going to do to figure out your problem, build or rebuild trust, expand the team in thoughtful and strategic ways, and then tell a real and compelling story about the change you’re leading.

Only then do you get to go fast, but that’s an essential part of the process, and we find that either people under emphasize it or speed has gotten a bad name in this world of moving fast and breaking things. And part of our mission for sure was to rehabilitate speed’s reputation because it is an essential part of the change leader’s equation. It can be the difference between good intentions and getting anything done at all.

CURT NICKISCH: You know, the fact that nobody ever tells you, “I wish we had done less and taken more time.” I think we all feel that, right? Sometimes we do something and then realize, “Oh, that wasn’t that hard and why did it take me so long to do it? And I wish I’d done this a long time ago.” Is it ever possible to solve a problem too quickly?

ANNE MORRISS: Absolutely. And we see that all the time too. What we push people to do in those scenarios is really take a look at the underlying issue because in most cases, the solution is not to take your foot off the accelerator per se and slow down. The solution is to get into the underlying problem. So if it’s burnout or a strategic disconnect between what you’re building and the marketplace you’re serving, what we find is the anxiety that people attach to speed or the frustration people attach to speed is often misplaced.

CURT NICKISCH: What is a good timeline to think about solving a problem then? Because if we by default take too long or else jump ahead and we don’t fix it right, what’s a good target time to have in your mind for how long solving a problem should take?

ANNE MORRISS: Yeah. Well, we’re playful in the book and talking about the idea that many problems can be solved in a week. We set the book up five chapters. They’re titled Monday, Tuesday, Wednesday, Thursday, Friday, and we’re definitely having fun with that. And yet, if you count the hours in a week, there are a lot of them. Many of our problems, if you were to spend a focused 40 hours of effort on a problem, you’re going to get pretty far.

But our main message is, listen, of course it’s going to depend on the nature of the problem, and you’re going to take weeks and maybe even some cases months to get to the other side. What we don’t want you to do is take years, which tends to be our default timeline for solving hard problems.

CURT NICKISCH: So you say to start with identifying the problem that’s holding you back, seems kind of obvious. But where do companies go right and wrong with this first step of just identifying the problem that’s holding you back?

ANNE MORRISS: And our goal is that all of these are going to feel obvious in retrospect. The problem is we skip over a lot of these steps and this is why we wanted to underline them. So this one is really rooted in our observation and I think the pattern of our species that we tend to be overconfident in the quality of our thoughts, particularly when it comes to diagnosing problems.

And so we want to invite you to start in a very humble and curious place, which tends not to be our default mode when we’re showing up for work. We convince ourselves that we’re being paid for our judgment. That’s exactly what gets reinforced everywhere. And so we tend to counterintuitively, given what we just talked about, we tend to move too quickly through the diagnostic phase.

CURT NICKISCH: “I know what to do, that’s why you hired me.”

ANNE MORRISS: Exactly. “I know what to do. That’s why you hired me. I’ve seen this before. I have a plan. Follow me.” We get rewarded for the expression of confidence and clarity. And so what we’re inviting people to do here is actually pause and really lean into what are the root causes of the problem you’re seeing? What are some alternative explanations? Let’s get into dialogue with the people who are also impacted by the problem before we start running down the path of solving it.

CURT NICKISCH: So what do you recommend for this step, for getting to the root of the problem? What are questions you should ask? What’s the right thought process? What do you do on Monday of the week?

ANNE MORRISS: In our experience of doing this work, people tend to undervalue the power of conversation, particularly with other people in the organization. So we will often advocate putting together a team of problem solvers, make it a temporary team, really pull in people who have a particular perspective on the problem and create the space, make it as psychologically safe as you can for people to really, as Chris Argyris so beautifully articulated, discuss the undiscussable.

And so the conditions for that are going to look different in every organization depending on the problem, but if you can get a space where smart people who have direct experience of a problem are in a room and talking honestly with each other, you can make an extraordinary amount of progress, certainly in a day.

CURT NICKISCH: Yeah, that gets back to the trust piece.

ANNE MORRISS: Definitely.

CURT NICKISCH: How do you like to start that meeting, or how do you like to talk about it? I’m just curious what somebody on that team might hear in that meeting, just to get the sense that it’s psychologically safe, you can discuss the undiscussable and you’re also focusing on the identification part. What’s key to communicate there?

ANNE MORRISS: Yeah. Well, we sometimes encourage people to do a little bit of data gathering before those conversations. So the power of a quick anonymous survey around whatever problem you’re solving, but also be really thoughtful about the questions you’re going to ask in the moment. So a little bit of preparation can go a long way and a little bit of thoughtfulness about the power dynamic. So who’s going to walk in there with license to speak and who’s going to hold back? So being thoughtful about the agenda, about the questions you’re asking about the room, about the facilitation, and then courage is a very infectious emotion.

So if you can early on create the conditions for people to show up bravely in that conversation, then the chance that you’re going to get good information and that you’re going to walk out of that room with new insight in the problem that you didn’t have when you walked in is extraordinarily high.

CURT NICKISCH: Now, in those discussions, you may have people who have different perspectives on what the problem really is. They also bear different costs of addressing the problem or solving it. You talked about the power dynamic, but there’s also an unfairness dynamic of who’s going to actually have to do the work to take care of it, and I wonder how you create a culture in that meeting where it’s the most productive?

ANNE MORRISS: For sure, the burden of work is not going to be equitably distributed around the room. But I would say, Curt, the dynamic that we see most often is that people are deeply relieved that hard problems are being addressed. So it really can create, and more often than not in our experience, it does create this beautiful flywheel of action, creativity, optimism. Often when problems haven’t been addressed, there is a fair amount of anxiety in the organization, frustration, stagnation. And so credible movement towards action and progress is often the best antidote. So even if the plan isn’t super clear yet, if it’s credible, given who’s in the room and their decision rights and mandate, if there’s real momentum coming out of that to make progress, then that tends to be deeply energizing to people.

CURT NICKISCH: I wonder if there’s an organization that you’ve worked with that you could talk about how this rolled out and how this took shape?

ANNE MORRISS: When we started working with Uber, that was wrestling with some very public issues of culture and trust with a range of stakeholders internally, the organization, also external, that work really started with a campaign of listening and really trying to understand where trust was breaking down from the perspective of these stakeholders?

So whether it was female employees or regulators or riders who had safety concerns getting into the car with a stranger. This work, it starts with an honest internal dialogue, but often the problem has threads that go external. And so bringing that same commitment to curiosity and humility and dialogue to anyone who’s impacted by the problem is the fastest way to surface what’s really going on.

CURT NICKISCH: There’s a step in this process that you lay out and that’s communicating powerfully as a leader. So we’ve heard about listening and trust building, but now you’re talking about powerful communication. How do you do this and why is it maybe this step in the process rather than the first thing you do or the last thing you do?

ANNE MORRISS: So in our process, again, it’s the days of the week. On Monday you figured out the problem. Tuesday you really got into the sandbox in figuring out what a good enough plan is for building trust. Wednesday, step three, you made it better. You created an even better plan, bringing in new perspectives. Thursday, this fourth step is the day we’re saying you got to go get buy-in. You got to bring other people along. And again, this is a step where we see people often underinvest in the power and payoff of really executing it well.

CURT NICKISCH: How does that go wrong?

ANNE MORRISS: Yeah, people don’t know the why. Human behavior and the change in human behavior really depends on a strong why. It’s not just a selfish, “What’s in it for me?” Although that’s helpful, but where are we going? I may be invested in a status quo and I need to understand, okay, if you’re going to ask me to change, if you’re going to invite me into this uncomfortable place of doing things differently, why am I here? Help me understand it and articulate the way forward and language that not only I can understand, but also that’s going to be motivating to me.

CURT NICKISCH: And who on my team was part of this process and all that kind of stuff?

ANNE MORRISS: Oh, yeah. I may have some really important questions that may be in the way of my buy-in and commitment to this plan. So certainly creating a space where those questions can be addressed is essential. But what we found is that there is an architecture of a great change story, and it starts with honoring the past, honoring the starting place. Sometimes we’re so excited about the change and animated about the change that what has happened before or what is even happening in the present tense is low on our list of priorities.

Or we want to label it bad, because that’s the way we’ve thought about the change, but really pausing and honoring what came before you and all the reasonable decisions that led up to it, I think can be really helpful to getting people emotionally where you want them to be willing to be guided by you. Going back to Uber, when Dara Khosrowshahi came in.

CURT NICKISCH: This is the new CEO.

ANNE MORRISS: The new CEO.

CURT NICKISCH: Replaced Travis Kalanick, the founder and first CEO, yeah.

ANNE MORRISS: Yeah, and had his first all-hands meeting. One of his key messages, and this is a quote, was that he was going to retain the edge that had made Uber, “A force of nature.” And in that meeting, the crowd went wild because this is also a company that had been beaten up publicly for months and months and months, and it was a really powerful choice. And his predecessor, Travis was in the room, and he also honored Travis’ incredible work and investment in bringing the company to the place where it was.

And I would use words like grace to also describe those choices, but there’s also an incredible strategic value to naming the starting place for everybody in the room because in most cases, most people in that room played a role in getting to that starting place, and you’re acknowledging that.

CURT NICKISCH: You can call it grace. Somebody else might call it diplomatic or strategic. But yeah, I guess like it or not, it’s helpful to call out and honor the complexity of the way things have been done and also the change that’s happening.

ANNE MORRISS: Yeah, and the value. Sometimes honoring the past is also owning what didn’t work or what wasn’t working for stakeholders or segments of the employee team, and we see that around culture change. Sometimes you’ve got to acknowledge that it was not an equitable environment, but whatever the worker, everyone in that room is bringing that pass with them. So again, making it discussable and using it as the jumping off place is where we advise people to start.

Then you’ve earned the right to talk about the change mandate, which we suggest using clear and compelling language about the why. “This is what happened, this is where we are, this is the good and the bad of it, and here’s the case for change.”

And then the last part, which is to describe a rigorous and optimistic way forward. It’s a simple past, present, future arc, which will be familiar to human beings. We love stories as human beings. It’s among the most powerful currency we have to make sense of the world.

CURT NICKISCH: Yeah. Chronological is a pretty powerful order.

ANNE MORRISS: Right. But again, the change leaders we see really get it right, are investing an incredible amount of time into the storytelling part of their job. Ursula Burns, the Head of Xerox is famous for the months and years she spent on the road just telling the story of Xerox’s change, its pivot into services to everyone who would listen, and that was a huge part of her success.

CURT NICKISCH: So Friday or your fifth step, you end with empowering teams and removing roadblocks. That seems obvious, but it’s critical. Can you dig into that a little bit?

ANNE MORRISS: Yeah. Friday is the fun day. Friday’s the release of energy into the system. Again, you’ve now earned the right to go fast. You have a plan, you’re pretty confident it’s going to work. You’ve told the story of change the organization, and now you get to sprint. So this is about really executing with urgency, and it’s about a lot of the tactics of speed is where we focus in the book. So the tactics of empowerment, making tough strategic trade-offs so that your priorities are clear and clearly communicated, creating mechanisms to fast-track progress. At Etsy, CEO Josh Silverman, he labeled these projects ambulances. It’s an unfortunate metaphor, but it’s super memorable. These are the products that get to speed out in front of the other ones because the stakes are high and the clock is sticking.

CURT NICKISCH: You pull over and let it go by.

ANNE MORRISS: Yeah, exactly. And so we have to agree as an organization on how to do something like that. And so we see lots of great examples both in young organizations and big complex biotech companies with lots of regulatory guardrails have still found ways to do this gracefully.

And I think we end with this idea of conflict debt, which is a term we really love. Leanne Davey, who’s a team scholar and researcher, and anyone in a tech company will recognize the idea of tech debt, which is this weight the organization drags around until they resolve it. Conflict debt is a beautiful metaphor because it is this weight that we drag around and slows us down until we decide to clean it up and fix it. The organizations that are really getting speed right have figured out either formally or informally, how to create an environment where conflict and disagreements can be gracefully resolved.

CURT NICKISCH: Well, let’s talk about this speed more, right? Because I think this is one of those places that maybe people go wrong or take too long, and then you lose the awareness of the problem, you lose that urgency. And then that also just makes it less effective, right? It’s not just about getting the problem solved as quickly as possible. It’s also just speed in some ways helps solve the problem.

ANNE MORRISS: Oh, yeah. It really is the difference between imagining the change you want to lead and really being able to bring it to life. Speed is the thing that unlocks your ability to lead change. It needs a foundation, and that’s what Monday through Thursday is all about, steps one through four, but the finish line is executing with urgency, and it’s that urgency that releases the system’s energy, that communicates your priorities, that creates the conditions for your team to make progress.

CURT NICKISCH: Moving fast is something that entrepreneurs and tech companies certainly understand, but there’s also this awareness that with big companies, the bigger the organization, the harder it is to turn the aircraft carrier around, right? Is speed relative when you get at those levels, or do you think this is something that any company should be able to apply equally?

ANNE MORRISS: We think this applies to any company. The culture really lives at the level of team. So we believe you can make a tremendous amount of progress even within your circle of control as a team leader. I want to bring some humility to this and careful of words like universal, but we do think there’s some universal truths here around the value of speed, and then some of the byproducts like keeping fantastic people. Your best people want to solve problems, they want to execute, they want to make progress and speed, and the ability to do that is going to be a variable in their own equation of whether they stay or they go somewhere else where they can have an impact.

CURT NICKISCH: Right. They want to accomplish something before they go or before they retire or finish something out. And if you’re able to just bring more things on the horizon and have it not feel like it’s going to be another two years to do something meaningful.

ANNE MORRISS: People – I mean, they want to make stuff happen and they want to be around the energy and the vitality of making things happen, which again, is also a super infectious phenomenon. One of the most important jobs of a leader, we believe, is to set the metabolic pace of their teams and organizations. And so what we really dig into on Friday is, well, what does that look like to speed something up? What are the tactics of that?

CURT NICKISCH: I wonder if that universal truth, that a body in motion stays in motion applies to organizations, right? If an organization in motion stays in motion, there is something to that.

ANNE MORRISS: Absolutely.

CURT NICKISCH: Do you have a favorite client story to share, just where you saw speed just become a bit of a flywheel or just a positive reinforcement loop for more positive change at the organization?

ANNE MORRISS: Yeah. We work with a fair number of organizations that are on fire. We do a fair amount of firefighting, but we also less dramatically do a lot of fire prevention. So we’re brought into organizations that are working well and want to get better, looking out on the horizon. That work is super gratifying, and there is always a component of, well, how do we speed this up?

What I love about that work is there’s often already a high foundation of trust, and so it’s, well, how do we maintain that foundation but move this flywheel, as you said, even faster? And it’s really energizing because often there’s a lot of pent-up energy that… There’s a lot of loyalty to the organization, but often it’s also frustration and pent-up energy. And so when that gets released, when good people get the opportunity to sprint for the first time in a little while, it’s incredibly energizing, not just for us, but for the whole organization.

CURT NICKISCH: Anne, this is great. I think finding a way to solve problems better but also faster is going to be really helpful. So thanks for coming on the show to talk about it.

ANNE MORRISS:  Oh, Curt, it was such a pleasure. This is my favorite conversation. I’m delighted to have it anytime.

HANNAH BATES: That was entrepreneur, leadership coach, and author Anne Morriss – in conversation with Curt Nickisch on HBR IdeaCast.

We’ll be back next Wednesday with another hand-picked conversation about business strategy from Harvard Business Review. If you found this episode helpful, share it with your friends and colleagues, and follow our show on Apple Podcasts, Spotify, or wherever you get your podcasts. While you’re there, be sure to leave us a review.

When you’re ready for more podcasts, articles, case studies, books, and videos with the world’s top business and management experts, you’ll find it all at HBR.org.

This episode was produced by Mary Dooe, Anne Saini, and me, Hannah Bates. Ian Fox is our editor. Special thanks to Rob Eckhardt, Maureen Hoch, Erica Truxler, Ramsey Khabbaz, Nicole Smith, Anne Bartholomew, and you – our listener. See you next week.

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3D printed homes are all the rage - but are they solving any of humanity's problems?

The University of Maine's Biohome could soon become a benchmark for low-cost housing in the US.

Watching a 3D printer build a house has got to be one of the more strangely meditative -- even mesmerizing -- exercises around. 

The 3D printer looks exactly like the ones you may have seen, except blown up, as if it were a prop in Honey I Shrunk the Kids .

After being assembled on-site by a spartan crew of four -- which is basically all the labor it takes to produce the entire foundation and exterior and interior walls of a 3D-printed house -- the printer stretches across the entire width of the house. 

Also: How to get into 3D printing without breaking (too many) things

At around 45 feet in length and perched atop two 15-foot towers like a giant, stretched-out, pull-up bar, the printer starts from one end, extruding cement like a giant caulking-gun-cum-ice-cream-dispenser as it makes its way to the other side.

An unflagging and meticulous worker, the printer methodically deposits layer upon layer of the exterior and interior walls of the home, printing 150 or more of these three-quarter inch layers all the way up to nine feet, in most cases.

You can check out the entire process in this video .

Now, consider the construction of a regular house, which can take anywhere from six to 12 months to complete.

The traditional construction process starts by laying a concrete slab down followed by wooden framing (essentially the skeleton of the house built with wood), plumbing, electricals, roof work, cladding (outer wall), ducts and vents, insulation, drywall or sheetrock, and finally interiors.

Framing alone takes up to two months while electrical and plumbing can take several weeks.

A 3D printer, by contrast, can lay down the foundation and then rip through building all of the walls of a house in a shockingly low week to 10 days with the plumbing and electrical already built into the slab or the walls.

In some cases, a modest two-bedroom dwelling can be completed in an astonishing 24 hours.

Also: This Anker 3D printer blew me away and it's perfect for beginners

This is undoubtedly the biggest leap in productivity that modern-day construction has ever seen.

And it could be the best news that home buyers and developers have ever heard. According to mortgage provider Freddie Mac, the US is desperately in need of at least 3.8 million units of housing. Growing labor and material shortages are not making things any easier.

When you include the staggering 38 million Americans living in poverty into your calculations, that picture gets even more dire. At least 7.3 million rental units of affordable housing are urgently needed for those with very low incomes.

Alas, that is not where investors will see fat margins; 3D printing companies are focusing primarily on buildings that lie at the upper end of the market.

Form factor

Icon's House Zero sports unique interior walls and spaces that only a 3D printer can navigate effortlessly and with no extra cost compared to a conventional build.

Icon, a pioneering 3D home builder, has partnered with property developer Lennar to churn out a 100-community home called Wolf Ranch, nestled in the hills of Georgetown, Texas.  

These smart, conventional-looking 3- or 4-bedroom units can be snatched up right off Icon's website where buyers can choose between eight different floor plans before they commit to anywhere from $450,000 to $500,000 for their new home.

Also: The best printers of 2023: For students and professionals

However, it is Icon's upscale, mid-century modernist ranch house, 'House Zero' , that reveals the enormous design advantages of 3D printed homes. Here, exterior walls curve irregularly along with the landscape. They not only look great but also add a lot more rigidity.

Icon's Vulcan 3D printer that can print out a 2,000-square-foot house in eight days.

Dining rooms can be made into semi-cocoons, adding intimacy in a flash. Bathrooms can be made circular, hallways can become wavy passageways, counters can spring up effortlessly, islands and even furniture can be created on a whim and spaces can be opened up or closed off depending on your desired look and feel.

To do all of this you don't have to call any more masons or designers or brick workers to your rescue --  your trusty printer doesn't care if your walls are wavy or straight. It builds anything and everything without a fuss.

Moreover, the headache of managing a large work-site crew doesn't exist -- there are only three people on site, if you can imagine that. This skeleton crew simply assembles the printer, uploads the CAD design onto it, and then monitors the printing process, making sure that the layers are all forming correctly.

Also:  5 very useful tools and gadgets for better 3D printing

House Zero reflects many of these possibilities to play with form. It allows you as a prospective homeowner or builder to unleash your inner Gaudi and create something truly unique.

But does it make financial sense?

You only have to look at the cost of labor in a head-to-head comparison of 3D-printed homes versus conventionally built ones to get a whiff of how this comparison is going to end up.

With four workers on site for 10 days, the labor involved in 3D printed homes costs 80% less than a conventional one, which is a giant saving considering that 40% of a conventional home's budget is labor costs, according to industry authorities like All3DP .

That's not all. Insurance payments are significantly lower because there's really no one on the worksite, which means far less liability. You can nonchalantly build your house through as many pandemics as you want without hyperventilating about lumber being three times the price.

Also: This is the best and fastest sub-$300 3D printer I've tested yet

There's also 99% less waste in the 3D printing process since you print exactly what you need, and 3D printing remains unaffected by chronic labor shortages for skilled tradespeople.

So, it makes sense that a 3D printed house can right now be at least 20- to 30 percent more cheaply, according to industry estimates. 

Icon's CEO says that just the concrete wall of 'Zero' cost him $150,000, or half of what it costs to frame a house the conventional way with wood. The whole house apparently came in a few hundred thousand dollars cheaper than a comparable conventional build.

Even more eye-popping, however, is the fact that this process today is just an eighth of what it cost when the company first started 3D printing houses, signaling that prices could keep falling as the technology gets cheaper.

Operating in the same space albeit with a different business model is Mighty Buildings out of Oakland, California, whose approach to home building is a little different.

Also: Everything you need to start building a smart home

It centers on using a 3D printer to make panels in a factory offsite and then assembling them where the home is being built.

The advantage of Mighty Building's process lies in its ability to customize its panels to a variety of custom plans without having to fret about all the nightmares of a one-shot, make-or-break print job on site.

If the build is large -- like a whole neighborhood of homes – the company can erect its own pop-up 'micro-factory' nearby to reduce time and money sucked up by transportation and logistics involving panels.

Housing the vulnerable

Of course, America's 40 million living in poverty will not be too impressed as yet with the ease of printing curved walls or supply-chain efficiencies.

In recent research studies, the US consistently has the largest and deepest poverty rates among industrialized nations. Insecure housing is a big part of that picture, yet there hasn't been a large-scale 3D-printed initiative that can begin to address the problem.

Also: ChatGPT could help you find your next home

This is where 3D printing can fulfill its true promise. To its credit, Icon explored this in its Echale project , which sought to provide low-cost housing to an economically deprived community in Tabasco, Mexico.

The results were astounding. Each 500-square-foot house equipped with two bedrooms and one bath was printed in 24 hours with embedded lattice work for improved air flow in a hot climate.

However, the show-stopper in affordable housing has to be the BioHome (see above), printed by the University of Maine's Advanced Structures and Composites Center (ASCC). 

The BioHome has been birthed by an unusual compact between the university and the local government, and driven by the state's realization that its economy may be hindered by the fact that 60% of the most vulnerable segment of its population -- low-income renters -- spend more than half of their income on housing.

The outcome of this endeavor is a 600-square-foot prototype that may just become a benchmark for the rest of the country. It was printed in four modules, slapped together on-site in half a day, and wired by an on-site electrician in a few hours.

Also: The best smart home devices of 2023: Expert reviewed

While the house's appearance is unexceptional, the engineering that has gone into it is anything but. BioHome uses waste wood from sawmills -- 1.2 million tons of which are readily available -- fused with a corn-based binder that makes the entire house 100% recyclable and dirt cheap.

It also features an array of thermal, structural, and environmental sensors planted around the home to keep tabs on how it performs during Maine's cold winters so future designs can be improved upon.

Killed by construction

Other than specifically addressing the homeless and poor with quick-to-build solutions, this is another way that 3D homes will shine. In a future faced with global warming-related challenges, utilizing environmentally friendly, recyclable materials to replace wood and concrete will become non-debatable.

Today, buildings are responsible for a staggering 40% of carbon emissions globally, according to the United Nations Environment Programme. As much as 8% of emissions comes just from making cement for these buildings while the rest comes from operating them year-round.

In other words, the last thing we need is an industry using more cement than before. Every company in the 3D printed homes arena advertises their special mix. 

Also: AI is more likely to cause world doom than climate change, according to an AI expert

Icon uses its proprietary mix called lavacrete, which the company claims is far more resilient than regular concrete. Mighty Building's Light Stone Material has four times the tensile and flexural strength of concrete, weighs 30% less, and uses 60% sustainably sourced & recycled components, according to the company.

Nevertheless, these products still use cement and need to urgently gravitate towards material that is transparently and predominantly climate-friendly so they can become benchmarks for the future.

3D printed firm WASP's home is made entirely out of 3D printed clay

One pioneering attempt to deviate from cement is this stunning 3D-printed house built out of clay  by 3D printing firm Wasp as a response to the climate emergency.

And every project boasts huge increases in structural strength and R-values (insulating power) from their proprietary material.

The problem is that there are no third-party validations of these claims in most cases. Plus, both developers and home buyers will need to dig deep into their area's building codes to see if they are able to demonstrate that their specific building material passes muster.

This will also continue to pose a standardization challenge for all parties involved until a whole new regulatory framework is charted out with ample input from all parties concerned.

Also: Is humanity really doomed? Consider AI's Achilles heel

"The technology is not yet mature or commonplace enough," Mallikarjuna Nadagouda, a researcher with the Environmental Protection Agency, wrote in an email to Yahoo News . "There are no codes or standards relating to manufacturers or specifications, and very few design professionals know how to design, specify, and procure these for commercial clients."

And finally, the most important question about how we live needs to be answered before 3D printing can be anointed as the future of home building.

There is widespread global consensus that the future of living is going to be vertical and not a forever expansion into the countryside. 

Experts are unanimous that taller buildings -- which make more efficient use of space and require less supporting infrastructure -- need to be prioritized rather than spending millions to develop forever-expanding suburbia that need expansive networks for water, electricity, and roads. 

Until 3D-printed home projects begin to cater to those most desperate for a dignified living and also begin architecting some industry-relevant codes, they will largely be a novelty solution for those who don't really need one.

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May 29, 2024

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Solving the problems of proton-conducting perovskites for next-generation fuel cells

by Tokyo Institute of Technology

As a newly developed perovskite with a large amount of intrinsic oxygen vacancies, BaSc 0.8 W 0.2 O 2.8 achieves high proton conduction at low and intermediate temperatures, report scientists at Tokyo Tech.

By the donor doping of large W 6+ , this material can take up more water to increase its proton concentration, as well as reduce the proton trapping through electrostatic repulsion between the dopant and proton. These findings could pave the way for the rational design of novel perovskites for protonic ceramic fuel cells (PCFCs) and electrolysis cells (PCECs).

In line with global efforts towards cleaner energy technologies, fuel cells may soon become an indispensable tool for converting chemical energy—stored in the form of hydrogen or other fuels—into electrical energy. Among the various types of fuel cells being actively researched, those that use solid electrolytes rather than liquid ones have inherent safety and stability advantages.

In particular, protonic ceramic fuel cells (PCFCs) have attracted special attention among scientists. These devices do not operate via the conduction of oxide ions (O 2− ) but light protons (H + ) with smaller valence. A key feature of PCFCs is their ability to function at low and intermediate temperatures in the range of 50–500 °C. However, PCFCs based on perovskite electrolytes reported thus far suffer from low proton conductivity at low and intermediate temperatures.

In a recent study, a research team led by Professor Masamoto Yashima from Tokyo Institute of Technology (Tokyo Tech), in collaboration with High Energy Accelerator Research Organization (KEK), has set out to address this limitation of perovskite-based proton conductors. Their findings were published in the Journal of Materials Chemistry A on May 3, 2024.

But why is the conductivity of the conventional perovskite-type proton conductors so low? "A major problem with the conventional proton conductors is a phenomenon known as proton trapping, in which protons are trapped by acceptor dopant via electrostatic attraction between the dopant and proton," explains Yashima. "Another major problem among such proton conductors would also be their low proton concentration due to the small amount of oxygen vacancies."

To tackle these issues, the researchers developed a highly oxygen-deficient perovskite, namely BaScO 2.5 doped with W 6+ cations, or BaSc 0.8 W 0.2 O 2.8 . Thanks to its large amounts of oxygen vacancies, this material has a higher proton concentration than other proton-conducting perovskites. However, since proton hopping occurs between oxygen atoms, the oxygen vacancies would lower proton conductivity rather than increase it.

This problem was solved by full hydration of the perovskite, turning it into BaSc 0.8 W 0.2 O 3 H 0.4 . Because of the large size of the W 6+ dopant, the perovskite has a larger lattice volume, which means it can take up more water molecules than those doped with other cations such as small Mo 6+ . The high water uptake facilitates high proton conductivity by further increasing the proton concentration.

As for proton trapping, the high positive charge of the W 6+ dopant leads to a stronger repulsion with protons, which are also positively charged. This effect was confirmed through ab initio molecular dynamics simulations , which revealed the migration pathways of protons near the Sc cation when transporting across the material. The repulsion indicates reduced proton trapping by the W 6+ dopant, which leads to the high proton conductivity at low and intermediate temperatures.

Taken together, the insights provided by this study could help establish fundamental design principles for proton-conducting perovskites.

"The stabilization of perovskites with disordered intrinsic oxygen vacancies and full hydration enabled by doping of large donor dopant could be an effective strategy towards next-generation proton conductors," says Yashima.

In addition to PCFCs, proton conductors are also needed in proton-conducting electroysis cells (PCECs), which can efficiently utilize electricity. Both of these technologies will be essential in the near future as we collectively strive towards sustainability through novel proton conductors.

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