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45 Software Tools for Writing Thesis

Boost Your Thesis Writing with Essential Software Tools

Writing a thesis is a significant milestone in any academic journey. It demands an immense amount of dedication, research, and organization. To streamline your thesis writing process and ensure a well-crafted and cohesive document, it’s crucial to equip yourself with the right software tools. In this article, iLovePhD will explore some of the most important software tools you need to effectively write your thesis. These tools encompass a range of areas, including research, writing, organization, and productivity. Let’s dive in!

Discover the must-have software tools for writing a successful thesis. Streamline your research and boost productivity today!

Master Your Thesis Writing with These Essential Software Tools

1. reference management software.

Comprehensive reference management software , such as Zotero, Mendeley, or EndNote, is a must-have tool for any thesis writer. These tools help you organize and manage your references efficiently, generate citations in different formats, and create a bibliography effortlessly. They save time, eliminate the risk of citation errors, and facilitate the seamless integration of references into your thesis. Here is a list of the top ten reference management software tools:

Zotero is a free and open-source reference management tool that helps you collect, organize, and cite research sources. It has a user-friendly interface and offers features like web browser integration and collaboration options.

1.2 EndNote

EndNote is a popular reference management software used by researchers, students, and librarians. It allows you to store, organize, and format bibliographic references, and it offers a wide range of citation styles.

1.3 Mendeley

Mendeley is a reference manager and academic social network. It enables you to organize your references, collaborate with others, and discover new research articles. Mendeley offers both free and premium versions.

1.4 RefWorks

RefWorks is a web-based reference management tool that helps you store and organize your references. It offers features like citation formatting, collaboration options, and document sharing.

Citavi is a comprehensive reference management and knowledge organization tool. It allows you to manage references, create citations, and organize your research materials. Citavi is commonly used by students and researchers.

JabRef is an open-source reference manager that specializes in handling bibliographies in BibTeX format. It is cross-platform compatible and offers features like customizable citation styles and integration with LaTeX editors.

1.7 ReadCube Papers

ReadCube Papers is a reference management tool that focuses on enhancing the reading experience of research papers. It offers features like PDF annotation, article discovery, and cloud-based reference syncing.

1.8 Paperpile

Paperpile is a reference manager designed specifically for Google Docs and Google Scholar. It provides seamless integration with Google services and offers features like citation formatting and collaboration tools.

Colwiz is a reference management, collaboration, and research discovery platform. It allows you to organize your references, collaborate with colleagues, and discover new research articles.

Qiqqa is a reference management software that offers features like PDF management, annotation tools, and citation generation. It also includes advanced features like full-text search and note-taking capabilities.

These are just a few of the popular reference management software tools available. Each tool has its own unique features and capabilities, so it’s worth exploring them further to find the one that best suits your needs.

2. Word Processing Software:

While this might seem obvious, using powerful word-processing software is essential. Microsoft Word and Google Docs are popular choices due to their robust features and compatibility. These tools provide a professional writing environment, including features like spell check, grammar correction, formatting options, and word count tracking. Additionally, they offer collaborative features, making it easier to seek feedback from advisors or peers. Here are the top five word-processing software tools:

2.1 Microsoft Word

Microsoft Word is one of the most popular and widely used word-processing software tools. It offers a comprehensive range of features for creating, editing, and formatting documents. It includes a user-friendly interface, collaboration tools, templates, and advanced formatting options.

2.2 Google Docs

Google Docs is a web-based word-processing tool offered by Google. It allows users to create and edit documents online, collaborate in real-time, and easily share documents with others. Google Docs also provides cloud storage, offline access, and seamless integration with other Google services.

2.3 Apple Pages

Pages is the word processing software included in Apple’s iWork suite. It is designed specifically for macOS and iOS devices and offers a clean and intuitive interface. Apple Pages provide a variety of templates, advanced typography tools, collaboration features, and seamless integration with other Apple products.

2.3 LibreOffice Writer

LibreOffice Writer is a free and open-source word processing software that is part of the larger LibreOffice suite. It offers a range of features comparable to Microsoft Word, including extensive formatting options, styles, templates, and compatibility with various document formats.

2.4 WPS Office Writer

WPS Office Writer is a popular word-processing tool that provides a free alternative to Microsoft Word. It offers a familiar interface, supports a wide range of file formats, and includes features such as document collaboration, templates, and extensive formatting options.

Please note that the popularity and preference for word processing software can vary depending on individual needs and preferences.

3. Research Databases and Search Engines:

Conducting thorough research is a cornerstone of thesis writing. Access to reliable research databases , such as PubMed, JSTOR, or IEEE Xplore, is vital. These platforms provide access to a vast array of scholarly articles, journals, books, and conference papers. Additionally, search engines like Google Scholar and Scopus can help you discover relevant literature and enhance your research capabilities. Here are the top five research databases and search engine tools commonly used:

PubMed is a widely used research database in the field of medicine and life sciences. It provides access to a vast collection of biomedical literature, including articles from scientific journals, books, and conference proceedings.

3.2 Google Scholar

Google Scholar is a freely accessible search engine that indexes scholarly literature across various disciplines. It includes articles, theses, books, conference papers, and more. It provides a convenient way to search for academic resources from multiple sources.

3.3 IEEE Xplore

IEEE Xplore is a digital library that focuses on electrical engineering, computer science, and related disciplines. It provides access to a vast collection of technical documents, including journal articles, conference papers, standards, and ebooks.

3.4 ScienceDirec t

ScienceDirect is a leading full-text scientific database offering access to a wide range of scholarly literature in various fields. It covers subjects such as physical sciences, engineering, life sciences, health sciences, and social sciences. ScienceDirect includes journals, books, and conference proceedings.

JSTOR is a digital library that provides access to a vast collection of academic journals, books, and primary sources across multiple disciplines. It covers subjects such as arts, humanities, social sciences, and more. JSTOR is particularly useful for historical research and accessing older publications.

These tools offer comprehensive access to scholarly literature and can be valuable resources for researchers, academics, and students. However, depending on your specific field or research area, there may be other specialized databases and search engines that are more relevant to your needs.

4. Note-Taking Tools

Keeping track of ideas, concepts, and findings is crucial during the research process. Note-taking tools like Evernote, OneNote, or Notion can be immensely helpful. These tools allow you to create and organize digital notes, attach files, insert images, and even collaborate with others. The ability to access your notes across different devices ensures seamless integration with your thesis writing workflow. Here are the top five note-taking tools commonly used in research:

4.1 Microsoft OneNote

OneNote is a versatile note-taking tool that allows you to create and organize notes in a free-form manner. It offers features such as text formatting, audio and video recording, image embedding, and cross-platform synchronization.

4.2 Evernote

Evernote is a popular note-taking tool that enables users to capture, organize, and search their notes across multiple devices. It offers features like text formatting, web clipping, file attachments, and collaboration options.

Zotero is a powerful research tool specifically designed for academic and research purposes. It allows you to collect, organize, cite, and share research materials such as articles, books, web pages, and more. It also integrates with word processors for easy citation management.

Notion is an all-in-one productivity tool that can be used for note-taking, task management, project planning, and more. It provides a flexible and customizable workspace where you can create and organize notes using a combination of text, tables, lists, media, and more.

4.5 Google Keep

Google Keep is a simple and lightweight note-taking tool that integrates well with other Google services. It offers basic note-taking features, including text, voice, and image notes, as well as checklists and reminders. It also syncs across devices and allows for easy collaboration.

These software tools provide various features and functionalities, so it’s worth exploring them to find the one that best fits your specific research needs and preferences.

5. Plagiarism Checkers

Maintaining academic integrity is of utmost importance when writing a thesis. Reference checkers like Grammarly and Turnitin can help ensure proper citation usage, prevent accidental plagiarism, and improve the overall quality of your writing. These tools provide detailed reports on potential issues and suggest corrections, thereby enhancing the credibility and originality of your work. There are several plagiarism checker tools available for researchers to ensure the originality of their work. Here is a list of ten popular plagiarism checker tools used in research :

5.1 Turnitin

Turnitin is one of the most widely used plagiarism detection tools, often integrated into educational institutions’ systems. It compares submitted work against a vast database of academic content, publications, and internet sources.

5.2 Grammarly

While primarily known as a grammar and writing assistance tool, Grammarly also offers a plagiarism checker feature. It scans the text for similarities against various online sources and provides a detailed report.

5.3 Copyscape

Copyscape is an online plagiarism checker used to detect copied content. It searches the web for matching content and provides a list of URLs where the content has been found.

5.4 Plagscan

Plagscan is a comprehensive plagiarism checker that compares documents against multiple sources, including academic journals, websites, and its extensive database. It offers a detailed report highlighting potential matches.

5.5 DupliChecker

DupliChecker is a free online plagiarism checker that scans the text against various online sources and offers a percentage of similarity along with highlighted matches.

5.6 Unicheck

Unicheck is a cloud-based plagiarism detection tool specifically designed for educational institutions. It compares submitted documents against a massive database to identify potential instances of plagiarism.

5.7 Quetext

Quetext is an AI-powered plagiarism checker that scans documents for similarities against an extensive database of academic content and web sources. It provides a detailed report with highlighted matches.

5.8 Plagiarism CheckerX

Plagiarism CheckerX is a software-based plagiarism detection tool that scans documents against online sources, academic databases, and publications. It offers an easy-to-understand report highlighting similarities.

5.9 WriteCheck

WriteCheck is a plagiarism checker developed by Turnitin. It allows users to submit their work and receive an originality report, indicating potential matches found in the database.

Viper is a free plagiarism checker that scans documents for similarities against online sources. It provides a detailed report and also offers additional features for academic users.

6. Project Management and Task Tracking software Tools:

Thesis writing involves managing numerous tasks, deadlines, and milestones. Employing project management and task tracking tools like Trello, Asana, or Todoist can greatly aid in staying organized. These tools enable you to create task lists, set deadlines, allocate priorities, and collaborate with others. Visualizing your progress and breaking down the writing process into smaller, manageable tasks boosts productivity and helps you meet your targets effectively. When it comes to project management and task tracking tools for thesis writing, there are several options available. Here are five popular ones:

Trello is a highly visual project management tool that allows you to organize tasks and projects on virtual boards. You can create lists, add cards for individual tasks, set due dates, and collaborate with others. Trello’s flexibility makes it suitable for organizing research materials, outlining chapters, and tracking progress.

Asana is a comprehensive project management tool that helps you track tasks, assign responsibilities, set deadlines, and communicate with your team. It provides features such as task dependencies, subtasks, and file attachments, making it useful for managing complex thesis projects with multiple contributors.

6.3 Microsoft Project

Microsoft Project is a powerful project management software that offers robust features for planning, scheduling, and tracking projects. It allows you to create Gantt charts, set milestones, allocate resources, and monitor progress. While it may have a steeper learning curve compared to other tools, it offers extensive functionality for managing large-scale thesis projects.

6.4 Todoist

Todoist is a simple yet effective task-tracking tool that helps you create and manage to-do lists. It allows you to set due dates, prioritize tasks, and create recurring tasks. You can also collaborate with others by sharing tasks and adding comments. Todoist’s intuitive interface and cross-platform availability make it a popular choice for individual thesis writers.

6.5 Evernote

Although not strictly a project management tool, Evernote is a versatile note-taking application that can be invaluable for thesis writing. It allows you to capture and organize research notes, save web clippings, create to-do lists, and attach files. With its powerful search functionality and synchronization across devices, Evernote helps you stay organized and retrieve information quickly.

The choice of the tool ultimately depends on your specific needs and preferences. It’s a good idea to try out a few options and see which one aligns best with your workflow and project requirements.

7. Data Analysis and Visualization Tools:

For research involving data analysis, tools like SPSS, R, or Excel can be invaluable. These tools provide powerful statistical analysis capabilities, allowing you to draw meaningful insights from your data. Additionally, visualization tools like Tableau or Python’s Matplotlib can help present your findings in a visually appealing and easy-to-understand manner. There are several popular data analysis and visualization tools used in thesis writing. Here are the top five tools:

R is a widely used open-source programming language for statistical analysis and data visualization. It provides a vast number of packages and libraries specifically designed for data analysis. R allows you to perform various statistical tests, create visualizations, and generate reports, making it a popular choice among researchers.

Python is another powerful programming language commonly used for data analysis and visualization. It offers libraries like NumPy, Pandas, and Matplotlib, which provide efficient data manipulation, analysis, and plotting capabilities. Python’s versatility and ease of use make it a preferred choice for researchers in various domains.

7.3 Tableau

Tableau is a popular data visualization tool that allows users to create interactive and visually appealing charts, graphs, and dashboards. It provides a user-friendly interface for exploring and analyzing data from various sources. Tableau offers advanced features for storytelling and data presentation , making it suitable for thesis writing and research projects.

SPSS (Statistical Package for the Social Sciences) is a software package widely used in social science research. It provides a comprehensive set of tools for data analysis, including descriptive statistics, regression analysis, and hypothesis testing. SPSS also offers data visualization capabilities to present research findings effectively.

Microsoft Excel is a widely available spreadsheet program that offers basic data analysis and visualization functionalities. It is often used for organizing and manipulating data, performing simple statistical calculations, and creating basic charts. While Excel may not be as powerful as specialized data analysis tools, it remains a popular choice due to its familiarity and ease of use.

These tools provide researchers with a range of options for data analysis and visualization, allowing them to choose the one that best suits their needs and preferences.

Conclusion:

Writing a thesis can be a challenging yet rewarding experience. By equipping yourself with the right tools, you can streamline your workflow, enhance your research capabilities, and produce a well-structured thesis. Remember, the tools mentioned in this article are meant to assist and optimize your writing process, but it’s crucial to adapt them to your specific needs and preferences. Embrace these tools, and let them empower you to create a compelling thesis that showcases your academic prowess. Happy writing!

Various Software Tools for Writing Thesis:

Writing Softwares for Thesis

Research Tools for Thesis Writing

Citation Management Tools for Thesis

Plagiarism Checkers for Thesis Writing

Grammar and Proofreading Tools for Thesis

Formatting Tools for Thesis Writing

Reference Management Tools for Thesis

Data Analysis Tools for Thesis Writing

Literature Review Tools for Thesis

Time Management Tools for Thesis

Collaboration Tools for Thesis Writing

Presentation Tools for Thesis Defense

Thesis Writing Templates and Samples

Tips and Techniques for Thesis Writing

Common Challenges in Thesis Writing

Thesis Writing Resources and Guides

FAQ on Tools for Writing Thesis

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Top 11 Software Tools for Thesis Writing: Boost Your Research

Crafting a thesis may seem challenging, but employing suitable software tools transforms it into a more structured and approachable undertaking. Delve into these potent resources to simplify your research, elevate your writing, and excel in your academic pursuits. This post elaborates on several tools commonly utilized for academic thesis writing.

Citavi is a comprehensive reference management and knowledge organization tool. It allows you to manage references, create citations, and organize your research materials. Citavi is commonly used by students and researchers.

Docear is a unique solution to academic literature management, i.e., it helps you organizing, creating, and discovering academic literature. This unique literature management tool designed specifically for academics when it comes to discovering, organizing and ultimately creating academic literature. A recommender system that helps you to discover new literature: Docear recommends papers which are free, in full-text, instantly to download, and tailored to your information needs.

3. Paperpile

Paperpile is a software for reference management that is just like Zotero and works like an extension for the Google Chrome browser, making it accessible for Linux, Mac, and Windows users. We suggest that you use it to discover and import information from stage platforms such as PubMed, arXiv, and Google Chrome. You can undoubtedly trade all the PDF archives and information to Google Drive, which implies you will have the chance to edit your papers collaboratively. This collaboration will not end, as you can send data back and forth between P Zotero and Paperpile, such as Mendeley.

4. RefWorks

RefWorks is accurate; select from thousands of customizable citation styles to use within authoring tools. Generate bibliographies and citations in a snap with any authoring tool. Use our integrations to insert citations in Word and Google Docs. Leverage thousands of pre-built citation styles and request new styles. Customize citation styles or create your own from scratch with the citation style editor.

5. SpellCheckPlus

SpellCheckPlus applies the same concept to the writing process. Rather than simply correcting your mistakes, it summarizes them into distinct categories. SpellCheckPlus offers feedback that not only improves your current project but also your writing and grammar at large. In other words, SpellCheckPlus is no mere editing tool; rather, it’s a teaching tool. And as even the very best writers know, there’s always room for improvement when it comes to how you deliver your message.

MindMup acts as an online mind-mapping canvas, perfect for representing ideas and concepts visually. Capture ideas at the speed of thought using a mind map maker designed to help you focus on your ideas and remove all the distractions while mindmapping. MindMup is also a terrific collaborative tool.

7. iA Writer

iA Writer gives you the essence of pure writing by providing an unobtrusive interface that lets you concentrate on your text. Despite its minimalistic approach, the application offers a variety of distinctive features that are specifically designed for writing-focused tasks. With iA Writer, you can gain unparalleled insight into your writing structure, detect superfluous words and clichés, and navigate through your documents and notes with ease.

Elicit uses language models to extract data from and summarize research papers. As a new technology, language models sometimes make up inaccurate answers (called hallucinations). They reduce hallucinations and increase accuracy by: training our models on specific tasks; searching over academic papers; and making it easy to double-check answers. Elicit only shows you papers that actually exist and are part of the scientific literature.

9. Lucidchart

It is an online diagramming tool to create flowcharts, diagrams, and visuals. Lucidchart is an intelligent diagramming application that brings teams together to make better decisions and build the future. Lucidchart helps users sketch and share professional flowchart diagrams, providing designs for anything from brainstorming to project management.

10. Trinka AI

Trinka is an online grammar checker and language correction AI tool for academic and technical writing. Trinka finds difficult errors unique to academic writing that other grammar checker tools don’t. From advanced English grammar errors to scientific tone and style, Trinka checks it all! Trinka goes beyond professional grammar checks and enhances your writing for vocabulary, tone, syntax, and much more. Make your point confidently with Trinka.

11. WhiteSmoke

WhiteSmoke renders you with the highest quality proofreading abilities available, correcting not only simple spelling mistakes like old-fashioned word processors but everything from grammar, word choices, and even style mistakes, all without breaking a sweat.

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7 Must-Have Thesis Writing Tools in 2021

Writing tools like Grammarly, Mendeley online, Thesaurus, BibMe, Evernote, Plagiarism checker, Hemingway Editor, Stay Focused and Dissertation authors have significant importance in thesis writing.  

Traditionally, writing a thesis for either PhD or dissertation was a tougher task, needing huge manual writing, Proofreading, correction, re-writing, and editing things manually. 

So, it was tedious, time-consuming and depressive and therefore no one wants to go for a doctorate. However, the recent scenario is totally different, now we have computers, mobile phones and a lot of apps. 

Things can be done at a fingertip, with one click and all done! Thanks to high-power computers and apps. “Useful” apps make tasks, work and everyday life easy for us. 

We now have apps for writing, proofreading, arranging documents, taking instant and important notes, doing citation & referencing and other stuff during your research. This article explains how a PhD student can utilize apps that are useful. I will also explain how you can use it. 

Features of Mendeley:

How to use mendeley , how to cite the work , features of evernote , how to use evernote , features of bibme are: , how to use bibme, how to use thesaurus , how to use dissertationauthers , features of grammarly: .

• How to use Grammarly? 

Features of Hemingway Editor: 

Wrapping up: , 7 must-have thesis writing tools in 2021, mendeley: .

Citing articles and enlisting references orderly isn’t an easy task; it’s time-consuming and tiresome. But what if a tool can do all this work seamlessly, effectively and precisely? Mendeley is that one tool you need.

Every PhD must have Mendeley- a reference manager tool. This app or web portal is exclusively designed to manage bibliography and citations therefore it must be there on every PhD students’ laptop. 

Four amazing features of Mendeley are, 

• You can store articles, PhD, journal reads on your Mendeley. 
• It automatically creates a reference format. 
• It can cite every bit of information seamlessly and precisely when integrated. 

Meaning just read the article from Mendeley, write your content in MS word and just do insert a citation. It automatically inserts the related citation and reference at the end of the page. 

Besides, several other features are, 

• It automatically generates a bibliography 
• You can import a pdf and research papers from other sources 
• You can find the relevant articles to what you are reading 
• You can collab with other researchers online 
• You can access all your article libraries from anywhere by logging in to your account. 

The Mendeley is developed by Elsevier Publication available on Windows, macOS and Linux. 

• Go to www.mendeley.com from your computer 
• Click on “create a free account”. 
• Enter your email address and continue your work. 
• Download the ‘Mendeley for desktop’ software 
• Start adding reading materials, pdfs and research articles or create your own library. 
• To use Mendeley for citation and referencing, first from your Mendeley app for tools and click on ‘Install MS word Plugin’. 
• Go to MS word>> referencing and insert citation using the Mendeley.

Now you are ready to use, write literature from the article and just click on insert citation and your work is ready. 

We are planning to write a whole article on the present topic, how to use it and how helpful it is, that article’s we will provide you later.

In summary, the very first software or app or tool every PhD student is required is Mendeley to write a thesis. It’s a citation and reference manager tool. 

 “Notes” as writing, images, pdf, article, news paragraph is an everyday part of a PhD student . Whatever you read, whenever you find things related to your PhD topic, you have to keep a note. 

And trust me keeping notes isn’t so easy. If you fail to make it up, you will forget it the next morning. Evernote- is a tool that keeps your notes from desktop, mobile or any other device and syncs them. 

• You can scan and save documents, label them, make important sentences underline and create pdf. 
• You can even save rich notes, save images, record audio, capture ideas. 
• You even can save entire or partial web pages. 
• You can mark, highlight, underline, and pinpoint every note you capture. 
•  And guess what you can excess it from anywhere. 

Go to www.evernote.com and click on sign in. 

Now click on ‘create account’ and create one using your email address. 

Or you can download the desktop apps. 

In summary, to keep notes seamlessly and organized, the Evernote tool is required. Moreover, users can create keyboard shortcuts, note links, anchor notes to remember and share notes. 

BibMe: 

BibMe- The online writing center is the tool or service developed by Chegg. It has many features to improve your academic writing and PhD work. 

One of the best features it has is it cites your work using different styles, even using their recent version of the style. 

• You can create accurate citations in multiple styles 
• Insert citation and references in your article or paper 
• Improve your writing by improving sentence structure, grammar and spelling 
• It can also detect plagiarism and can correct it. 

Go to www.bibme.org .

Click on ‘Create account’. Create your account using your email address and use their features. 

In summary, a BibMe app is an excellent tool, however, it isn’t available as a plugin for MS Word. You can use the free version or can use the paid version to explore more features. 

Thesaurus: 

Academic writing should be professional and precise, one needs to choose the correct word as per the sentence requirement. Using Thesaurus you can find synonyms of various words. 

Besides, You can find antonyms and choose acronyms and abbreviations. 

Go to www.thesaurus.com . 

Click on synonyms and type your word in the search box.  

In summary, Thesaurus makes your writing impressive when you use synonyms and transient words. 

Disserationauthors:  

Writing a research paper, review article or thesis is quite hard for a novice, you may feel helpless sometimes when your writeup is rejected multiple times. Even if you don’t understand what is wrong with your part. 

 If you feel so, don’t worry you can hire writers, experts or writing assistance who helps you. Dissertationauthors hire expert writers for you basically from the USA and UK. 

• Go to www.dissertationauthors.com . 
• Fill the order form 
• Pay for your write up or paper 
• Reach your personal writer 
• Download your completed work

In summary, students have to write their own stuff, however, if your writing isn’t of that level you can use this service. 

Grammarly: 

Grammar, spelling and synonyms are common problems every research student faces, specifically those who aren’t from a pure English background. Imagine, what if some software or tool can do all stuff automatically!

Grammarly is exactly that one tool. They have free and paid plans available, however, the free version is enough for most students. 

It has many services in which the Google chrome “add on” extension is the best. When activated it automatically detects and corrects English problems to all documents. 

Related article: Grammarly: Your PhD writing assistant

• Correct spelling and Grammer 
• Correct wordy sentences 
• Suggest punctuations 
• Structurize the sentence 
• Check plagiarism 
• Adds more transient words and synonyms 
• And a lot more… 

Read more: How to Check Plagiarism for PhD Thesis?- Top 10 Plagiarism Checkers

How to use Grammarly?  

• Go to www.grammarly.com  
• Sign in or sign up for your account. 
• Go to the Google chrome extension search for Grammarly. 
• Add Grammarly to your chrome extension. 
• Do a quick setting as per your requirement. 

In summary, Grammarly is the one tool or software that must be present on every PhD fellow’s laptop. Its technology is based on AI, meaning as you write more, it understands your style more and suggests accordingly. 

Moreover, it also mails you your performances, common problems and how you can improve.  

Hemingway Editor 

This software is somehow similar to Grammarly, however, it has something unique in it. It’s an online editor you can use to quickly edit your article. It finds common errors, sentence structure, and grammatical mistakes. 

It corrects it precisely. Several common features are enlisted here, 

• Highlight lengthy and complex sentences, and corrections 
• Finds common writing errors 
• Finds active or passive voices. 
• It denotes each error with a different color quote. 
• It can also add headings, count the number of words and other things. 

In summary, It’s not that impressive software for the students but can help especially to correct complex sentences. It is useful for bloggers. 

Apps and Softwares make your everyday life easy and when you are in PhD, it becomes so important to make things easy. You should visit and use all this Softwares and its tools. 

However, as per my opinion research candidates should have at least Grammarly, Mendeley and Evernote. These three are enough to do a lot of work. 

Use Mendeley for citation, bibliography generation and other PhD stuff, Grammarly for writing assistance and Evernote for keeping notes and important things. 

Dr. Tushar Chauhan is a Scientist, Blogger and Scientific-writer. He has completed PhD in Genetics. Dr. Chauhan is a PhD coach and tutor.

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25+ Powerful Dissertation Writing Apps

Everything You Need To Optimise Your Research Journey

Contributors: Derek J ansen (MBA),   Kerryn Warren (PhD) &  David Phair (PhD) | May 2024

Completing your dissertation   or thesis requires a hearty investment of time, effort and hard work. There’s no shortcut on the road to research success, but as with anything, there are   ways to optimise the process   and work smarter.

Here, we’ll share with you a wide range of apps, software and services that will   make your life a little easier   throughout the research process. While these apps can save you a lot of time, remember that your dissertation or thesis needs to be your own work – no tool should be doing the writing on your behalf. Also, be sure to check your university’s policy regarding AI-based tools and support before using any apps, tools or software. 

Overview: Dissertation & Thesis Apps

• Literature review
• Data collection
• Qualitative data analysis
• Quantitative data analysis
• Writing & Plagiarism
• Project management
• Reference management
• Honourable mentions

Literature Review & Search Apps

The following apps and tools can help you discover, analyse, and synthesise scholarly materials, significantly streamlining the literature review process.

Scite AI – Find & evaluate sources

The Scite AI app uses ‘Smart Citations’ to show how academic papers are discussed—i.e.,  supported, contradicted, or mentioned. This can help you fast-track the literature review process and source highly relevant papers quickly. 

Consensus – ChatGPT for academia

The Consensus app uses a powerful AI engine to connect you to over 200 million scientific papers. It allows precise searches without exact keywords and efficiently summarises key research findings, making your literature review much more manageable.

Litmaps – Visualise related papers

This app is great for quickly identifying relevant research. For any given keyword or resource, it will provide you with a visual citation network, showing how studies are interconnected. This reveals both direct and tangential connections to other research, highlighting gaps and key discussions within your field.

Connected Papers – An alternative

Similar to Litmaps, Connected Papers visually maps academic research, simplifying how you explore related studies. Just input a paper, and it charts connections, helping identify key literature and gaps. It’s ideal for staying updated on emerging research.

Elicit – An “AI Research Assistant”

Another AI-powered tool, Elicit automates the discovery, screening, and data extraction from academic papers efficiently. This makes it useful for systematic reviews and meta-analyses, as it allows you to focus on deeper analysis across various fields​.

Petal – Chat with your literature

Petal is an AI-driven tool that revolutionises your interaction with documents by enabling direct, context-aware conversations. Upload an article and it will swiftly summarise its contents and allow you to ask questions about the specific study (or studies).

Data Collection & Preparation

These apps and tools can assist you in terms of collecting and organising both qualitative and quantitative data for your dissertation or thesis.

SurveyMonkey – Simple surveys

SurveyMonkey is a versatile tool for creating and distributing surveys. It simplifies collecting and analysing data, helping you craft surveys that generate reliable results. Well suited for the vast majority of postgraduate research projects.

Qualtrics – An alternative

Qualtrics is a comprehensive survey tool with advanced creation, distribution, and analysis capabilities. It supports complex survey designs and robust data analysis, making it ideal for gathering detailed insights and conducting high-quality research.

Otter – Easy draft transcription

Otter is an AI-powered transcription tool that converts spoken words into text. It captures and transcribes lectures, interviews, and meetings in real time. Naturally, it’s not 100% accurate (you’ll need to verify), but it can certainly save you some time.

Qualitative Data Analysis

These software packages can help you organise and analyse qualitative data for your dissertation, thesis or research project.

NVivo – All-in-one qual platform

NVivo is a powerful qualitative data analysis software that facilitates data organisation, coding, and analysis. It supports a wide range of data types and methodologies, enabling detailed analysis and helping you extract rich insights from your data.

MaxQDA – QDA simplified

MAXQDA is a robust qualitative data analysis software that helps you systematically organise, evaluate, and interpret complex datasets. A little easier to get started with than NVivo, it’s ideal for first-time dissertation and thesis writers.

ATLAS.Ti – For large datasets

ATLAS.ti offers robust tools for organising, coding, and examining diverse materials such as text, graphics, and multimedia. It’s well-suited for researchers aiming to weave detailed, data-driven narratives as it streamlines complex analysis tasks efficiently.

Delve – An intutive interface

Delve is an intuitive qualitative data analysis tool designed to streamline the qualitative analysis process. Ideal for dissertations, Delve simplifies the process from initial data organisation to in-depth analysis, helping you efficiently manage and interpret complex datasets for clearer insights.

Quantitative (Statistical) Data Analysis

These software packages can help you organise and analyse quantitative (statistical) data for your dissertation, thesis or research project.

Julius – Your “AI Data Analyst”

Julius is an AI-powered data analysis tool that simplifies the process of analysing and visualising data for academic research. It allows you to “chat” with your data, create graphs, build forecasting models, and generate comprehensive analyses.

IBM SPSS – The “old faithful”

The OG of statistical analysis software, SPSS is ideal for students handling quantitative data in their dissertations and theses. It simplifies complex statistical testing, data management, and graphical representation, helping you derive robust insights.

R Studio – For the data wizards

While admittedly a little intimidating at first, R is a versatile software for statistical computing. It’s well-suited for quantitative dissertations and theses, offering a wide range of packages and robust community support to streamline your work.

STATA – For the data scientists

Stata is yet another comprehensive statistical software widely used for data management, statistical analysis, and graphical representation. It can efficiently handle large datasets and perform advanced statistical analyses.

Writing Improvement & Plagiarism Tools

These apps and tools can help enhance your writing and proactively identify potential plagiarism issues.

Grammarly – Improve your writing

Grammarly is a writing assistant that can help enhance academic writing by checking for errors in grammar, spelling, and punctuation in real time. It also features a plagiarism detection system , helping you to proactively avoid academic misconduct.

Jenni – An AI “writing assistant”

Jenni AI helps you draft, cite, and edit with ease, streamlining the writing process and tackling writer’s block. Well suited for ESL students and researchers, Jenni helps ensure that your work is both precise, clear and grammatically sound.

Quillbot – Paraphrasing simplified

Quillbot is yet another AI-powered writing tool that can help streamline the writing process. Specifically, it can assist with paraphrasing, correcting grammar, and improving clarity and flow. It also features a citation generator and plagiarism checker.

Quetext – Solid plagiarism checking

Quetext is a plagiarism detection tool that helps ensure the originality of your academic work. It cross-references your documents against extensive online databases to highlight potential plagiarism and generate detailed reports.

Project & Time Management

These apps can help you plan your research project and manage your time, so that you can work as efficiently as possible.

GanttPro – PM simplified

An intuitive project management tool, GanttPro simplifies planning and tracking for dissertations or theses. It offers detailed Gantt charts to visualise task timelines, dependencies, and progress, helping you ensure timely completion of each section.

Trello – Drag-and-drop PM

Trello is a versatile project management tool that helps you organise your dissertation or thesis process effectively. By creating boards for each chapter or section, you can track progress, set deadlines, and coordinate tasks efficiently.

Toggl – Make every minute count

A user-friendly time-tracking app that helps you manage your research project effectively. With Toggl, you can precisely track how much time you spend on specific tasks. This will help you avoid distractions and stay on track throughout your journey.

Reference Management

These apps and tools will help you keep your academic resources well organised and ensure that your citations and references are perfectly formatted, every time.

Mendeley – Your citations, sorted

Mendeley is your go-to reference management tool that simplifies academic writing by keeping your sources neatly organised. Perfect for dissertations, it lets you easily store, search, and cite your research materials directly in MS Word.

Zotero – Great for Google Docs

Zotero is a free-to-use reference manager that ensures your sources are well-organised and flawlessly cited. It helps you collect, organise, and cite your research sources seamlessly. A great alternative to Mendeley if you’re using Google Docs.

Endnote – A paid option

Yet another reference management option, Endnote is sometimes specifically required by universities. It efficiently organises and stores research materials, making citation and bibliography creation (largely) effortless.

Honourable Mentions

Now that we’ve covered the more “exciting” dissertation apps and tools, it’s worth quickly making one or two mundane but essential mentions before we wrap up.

You’ll need a reliable word processor.

In terms of word processors, Microsoft Word will likely be your go-to, but it’s not the only option. If you don’t have a license for Word, you can certainly consider using Google Docs, which is completely free. Zotero offers a direct integration with Google Docs, making it easy to manage your citations and references. If you want to go to the other extreme, you can consider LaTeX, a professional typesetting software often used in academic documents.

You’ll need cloud storage.

The number of times we’ve seen students lose hours, days or even weeks’ worth of hard work (and even miss the submission deadline) due to corrupted flash drives or hard drives, coffee-soaked laptops, or stolen computers is truly saddening. If you’re not using cloud storage to save your work, you’re running a major risk. Go sign up for any of the following cloud services (most offer a free version) and save your work there:

• Google Drive
• iCloud Drive

Not only will this ensure your work is always safely stored (remember to hit the Save button, though!), but it will make working on multiple devices easier, as your files will be automatically synchronised. No need to have multiple versions between your desktop, laptop, tablet, etc. Everything stays in one place. Safe, secure, happy files.

Need a helping hand?

Key Takeaways: Dissertation Apps & Tools

And there you have it – a hearty selection of apps, software and services that will undoubtedly make your life easier come dissertation time.

To recap, we’ve covered tools across a range of categories:

Remember, while these apps can help optimise your dissertation or thesis writing journey, you still need to put in the work . Be sure to carefully review your university’s rules and regulations regarding what apps and tools you can use – especially anything AI-related.

Have a suggestion? We’d love to hear your thoughts. Simply leave a comment below and we’ll consider adding your suggested app to the list.

You Might Also Like:

14 Comments

It seems some of the apps mentioned are not android capable. It would be nice if you mentioned items that everyone could use.

Thanks for the feedback, Gale!

Yet to explore some of your recommended apps. I am glad to commend on one app that I have started using, Mendeley. When it comes to referencing it really helps a lot.

Great to hear that, Maggie 🙂

I have got Mendeley and it is fantastic. I have equally downloaded Freemind but I am yet to really understand how to navigate through it.

Based on your YouTube lessons,my literature review and the entire research has been simplified and I am enjoying the flow now,more than ever before.

Thank you so much for your recommendations and guide.It’s working a great deal for me.

Remain blessed!

Thank you for all the amazing help and tutorials. I am in the dissertation research proposal stage having already defended the qualifying paper. I am going to implement some of your advice as I revise chapters 1 & 2 and expand chapter 3 for my research proposal. My question is about the writing– or specifically which software would you recommend. I know MS Word can get glitchy with larger documents. Do the “reference” apps you recommend work with other options such as LaTeX? I understand that for some programs the citations won’t be integrated or automated such as cite while you write etc.. I have a paid version of endnote, and free versions of mendeley and zotero. I have really only used endnote with any fidelity but I’m willing to adapt. What would you advise at this point?

Thanks for your comment and for the kind words – glad to hear that the info is useful.

Generally, Word works reasonably well for most research projects and is our first recommendation. As long as one keeps the document clean (i.e. doesn’t paste in loads of different styles, ultra high-res images, etc), it works fine. But I understand that it’s not perfect for absolutely huge projects.

Regarding referencing with Latex, this article covers how to use Mendeley with Latex – https://blog.mendeley.com/2011/10/25/howto-use-mendeley-to-create-citations-using-latex-and-bibtex/ . Perhaps it will be useful. I hesitate to tell you to adopt software X or Y, or to move from Endnote, as each software has its strengths and weaknesses, and performs better in certain contexts. I’m not familiar with your context, so it’s not possible for me to advise responsibly. Mendeley works well for the vast majority of our students, but if there’s a very specific bit of functionality that draws you to Endnote, then it may be best to stick with it. My generic advice would be to give Mendeley a try with some sample references and see if it has the functionality you need.

I hope this helps! Best of luck with your research 🙂

Thank you for your amazing articles and tips. I have MAC laptop, so would Zotero be as good as Mendeley? Thank you

Derek would you share with me your email please, I need to talk to you urgently.

I need a free Turnitin tool for checking plagiarism as for the tools above

I have been going crazy trying to keep my work polished and thesis or dissertation friendly. My mind said there had to be a better way to do literature reviews. Thank God for these applications. Look out world I am on my way.

Wow Thanks for this write-up i find it hard to track down extremely good guidance out there when it comes to this material appreciate for the publish site

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All-in-one Literature Review Software

Start your free trial.

Free MAXQDA trial for Windows and Mac

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MAXQDA The All-in-one Literature Review Software

MAXQDA is the best choice for a comprehensive literature review. It works with a wide range of data types and offers powerful tools for literature review, such as reference management, qualitative, vocabulary, text analysis tools, and more.

Document viewer

Your analysis.

As your all-in-one literature review software, MAXQDA can be used to manage your entire research project. Easily import data from texts, interviews, focus groups, PDFs, web pages, spreadsheets, articles, e-books, and even social media data. Connect the reference management system of your choice with MAXQDA to easily import bibliographic data. Organize your data in groups, link relevant quotes to each other, keep track of your literature summaries, and share and compare work with your team members. Your project file stays flexible and you can expand and refine your category system as you go to suit your research.

Developed by and for researchers – since 1989

Having used several qualitative data analysis software programs, there is no doubt in my mind that MAXQDA has advantages over all the others. In addition to its remarkable analytical features for harnessing data, MAXQDA’s stellar customer service, online tutorials, and global learning community make it a user friendly and top-notch product.

Sally S. Cohen – NYU Rory Meyers College of Nursing

Literature Review is Faster and Smarter with MAXQDA

Easily import your literature review data

With a literature review software like MAXQDA, you can easily import bibliographic data from reference management programs for your literature review. MAXQDA can work with all reference management programs that can export their databases in RIS-format which is a standard format for bibliographic information. Like MAXQDA, these reference managers use project files, containing all collected bibliographic information, such as author, title, links to websites, keywords, abstracts, and other information. In addition, you can easily import the corresponding full texts. Upon import, all documents will be automatically pre-coded to facilitate your literature review at a later stage.

Capture your ideas while analyzing your literature

Great ideas will often occur to you while you’re doing your literature review. Using MAXQDA as your literature review software, you can create memos to store your ideas, such as research questions and objectives, or you can use memos for paraphrasing passages into your own words. By attaching memos like post-it notes to text passages, texts, document groups, images, audio/video clips, and of course codes, you can easily retrieve them at a later stage. Particularly useful for literature reviews are free memos written during the course of work from which passages can be copied and inserted into the final text.

Find concepts important to your generated literature review

When generating a literature review you might need to analyze a large amount of text. Luckily MAXQDA as the #1 literature review software offers Text Search tools that allow you to explore your documents without reading or coding them first. Automatically search for keywords (or dictionaries of keywords), such as important concepts for your literature review, and automatically code them with just a few clicks. Document variables that were automatically created during the import of your bibliographic information can be used for searching and retrieving certain text segments. MAXQDA’s powerful Coding Query allows you to analyze the combination of activated codes in different ways.

Aggregate your literature review

When conducting a literature review you can easily get lost. But with MAXQDA as your literature review software, you will never lose track of the bigger picture. Among other tools, MAXQDA’s overview and summary tables are especially useful for aggregating your literature review results. MAXQDA offers overview tables for almost everything, codes, memos, coded segments, links, and so on. With MAXQDA literature review tools you can create compressed summaries of sources that can be effectively compared and represented, and with just one click you can easily export your overview and summary tables and integrate them into your literature review report.

Powerful and easy-to-use literature review tools

Quantitative aspects can also be relevant when conducting a literature review analysis. Using MAXQDA as your literature review software enables you to employ a vast range of procedures for the quantitative evaluation of your material. You can sort sources according to document variables, compare amounts with frequency tables and charts, and much more. Make sure you don’t miss the word frequency tools of MAXQDA’s add-on module for quantitative content analysis. Included are tools for visual text exploration, content analysis, vocabulary analysis, dictionary-based analysis, and more that facilitate the quantitative analysis of terms and their semantic contexts.

Visualize your literature review

As an all-in-one literature review software, MAXQDA offers a variety of visual tools that are tailor-made for qualitative research and literature reviews. Create stunning visualizations to analyze your material. Of course, you can export your visualizations in various formats to enrich your literature review analysis report. Work with word clouds to explore the central themes of a text and key terms that are used, create charts to easily compare the occurrences of concepts and important keywords, or make use of the graphical representation possibilities of MAXMaps, which in particular permit the creation of concept maps. Thanks to the interactive connection between your visualizations with your MAXQDA data, you’ll never lose sight of the big picture.

AI Assist: literature review software meets AI

AI Assist – your virtual research assistant – supports your literature review with various tools. AI Assist simplifies your work by automatically analyzing and summarizing elements of your research project and by generating suggestions for subcodes. No matter which AI tool you use – you can customize your results to suit your needs.

Free tutorials and guides on literature review

MAXQDA offers a variety of free learning resources for literature review, making it easy for both beginners and advanced users to learn how to use the software. From free video tutorials and webinars to step-by-step guides and sample projects, these resources provide a wealth of information to help you understand the features and functionality of MAXQDA for literature review. For beginners, the software’s user-friendly interface and comprehensive help center make it easy to get started with your data analysis, while advanced users will appreciate the detailed guides and tutorials that cover more complex features and techniques. Whether you’re just starting out or are an experienced researcher, MAXQDA’s free learning resources will help you get the most out of your literature review.

Free MAXQDA Trial for Windows and Mac

Get your maxqda license, compare the features of maxqda and maxqda analytics pro, faq: literature review software.

Literature review software is a tool designed to help researchers efficiently manage and analyze the existing body of literature relevant to their research topic. MAXQDA, a versatile qualitative data analysis tool, can be instrumental in this process.

Literature review software, like MAXQDA, typically includes features such as data import and organization, coding and categorization, advanced search capabilities, data visualization tools, and collaboration features. These features facilitate the systematic review and analysis of relevant literature.

Literature review software, including MAXQDA, can assist in qualitative data interpretation by enabling researchers to organize, code, and categorize relevant literature. This organized data can then be analyzed to identify trends, patterns, and themes, helping researchers draw meaningful insights from the literature they’ve reviewed.

Yes, literature review software like MAXQDA is suitable for researchers of all levels of experience. It offers user-friendly interfaces and extensive support resources, making it accessible to beginners while providing advanced features that cater to the needs of experienced researchers.

Getting started with literature review software, such as MAXQDA, typically involves downloading and installing the software, importing your relevant literature, and exploring the available features. Many software providers offer tutorials and documentation to help users get started quickly.

For students, MAXQDA can be an excellent literature review software choice. Its user-friendly interface, comprehensive feature set, and educational discounts make it a valuable tool for students conducting literature reviews as part of their academic research.

MAXQDA is available for both Windows and Mac users, making it a suitable choice for Mac users looking for literature review software. It offers a consistent and feature-rich experience on Mac operating systems.

When it comes to literature review software, MAXQDA is widely regarded as one of the best choices. Its robust feature set, user-friendly interface, and versatility make it a top pick for researchers conducting literature reviews.

Yes, literature reviews can be conducted without software. However, using literature review software like MAXQDA can significantly streamline and enhance the process by providing tools for efficient data management, analysis, and visualization.

Thesis Announces Acquisition and Growth Investment by SilverTree Equity

SilverTree’s investment will accelerate Thesis’ investments in product and people and support its trajectory in becoming the leading SaaS student management provider in the UK, US and Canada

Gary McIlraith, experienced software Chairman and CEO, joins Thesis Software as Chairman

Washington D.C. and London – February 2nd, 2023   –   Thesis, a provider of cloud-based, next generation university administration software, today announced that   SilverTree Equity , a leading private equity firm with deep expertise in technology and software businesses, has completed the acquisition of the company from   Advent International .

As part of the transaction, Thesis has secured significant growth funding and a value-add partner to accelerate Thesis’ investments in product and talent and enhance the company’s customer value proposition.

Thesis is headquartered in the United States, with growing operations in the UK, Canada, and Europe. The company has a comprehensive offering of cloud-based university administration software. Over 140 colleges and universities rely on Thesis solutions to power their core business processes.

John Messamore, Managing Partner of SilverTree, commented, "Higher education has long been neglected by incumbent software vendors. We are excited to invest in Thesis and accelerate the rollout of the company’s game-changing SaaS solutions."

Nicholas Theuerkauf, Managing Partner of SilverTree, added, "We are excited to be partnering with Thesis' management team of seasoned ed-tech specialists who are committed to continued client success and strengthening the company’s market position. We believe that Thesis is well positioned to be a leader in next-gen, SaaS university administration software."

Paul McConville, CEO of Thesis, commented, "I joined Thesis because of my passion for helping students, and the institutions that serve them, to succeed. SilverTree is the ideal partner, given their strong software and growth expertise and global resources, to accelerate our product enhancement and adoption. This investment is great for our clients, our employees and the higher education market."

About Thesis Thesis provides student information management solutions for higher education institutions in the UK, the US and Canada, focusing on the use of best-practice standards, automation, and process simplification to free faculty and staff from administrative work so they can concentrate on their core mission.

Thesis’ configurable, modern, cloud-based system allows for faster implementation than industry average and with more integration flexibility. Thesis SM and Thesis Elements deliver modern software experiences that break free of the constraints of legacy systems, giving higher education institutions the ability to scale and evolve to meet new marketplace realities with a purpose-built software-as-a-service solution.

Visit   www.thesiscloud.com   to learn more.

About SilverTree Equity SilverTree Equity is a sector specialist private equity firm. SilverTree invests exclusively in software, technology, and technology-enabled businesses. The firm is differentiated by its focus on value creation, sector specialism, and a deep network of operational resources and industry relationships. The SilverTree team has successfully completed or been involved in over 75 transactions.

For more information, please visit   www.silvertree-equity.com   or contact : John Messamore [email protected]

“We’re using Thesis for pretty much every part of the student journey from the moment they enquire, right the way through to alumni.”

- Andrew Kemp

Transformation Director, Manchester Metropolitan University

Thesis Continues Expansion, Adds CFO to Leadership Team

Every Product Has a Thesis

Every successful product has a central thesis—a reason for existence. Let’s analyze the foundations of the iPhone, Alexa, and other widespread products to highlight their core theses.

By Alex Cox

Alex is a product manager at the intersection of design and commerce, helping clients convert leads into sales.

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Every successful product has a reason for existence and a justification for why people love it—a so-called central thesis. If a thesis is not aligned with users’ needs, the product tends to do a lot of different things but ends up doing nothing well. When Amazon released the Fire Phone in 2014, its failure was partly due to the fact that “ consumers considered its smartphone effort utterly misguided .” Another example is Google+, which was launched as a Facebook clone with “ big aspirations but no well-defined purpose for users .”

Product thesis is crucial for targeting the proper market successfully and showcasing a product’s uniqueness to users. In this article, I will analyze the foundations of four well-known products to highlight their core theses and the lessons learned from their introduction to the market.

What Is a Product Thesis?

A core thesis is similar to a product vision, it is a solution to a problem. Each new feature intends to support that solution and thus strengthen the thesis. Every item, be it hardware, software, or a physical item, has a thesis. The mug sitting next to you, the pencil, or the wallet in your pocket—they all represent a solution that solves a certain problem.

Some products seek to solve several problems. For example, a social media platform like Facebook offers different solutions, including the news feed (showing relevant information for users), messenger (easy chat), or marketplace (selling and buying things within communities). They all are solutions to certain user problems.

Spotting a Thesis

Spotting the core product statement is crucial to determining the initial market entry . By researching a market, you can grasp the customer’s problems and their solutions. When you find a problem without a solution or you can prove that your idea is advanced, it is the right time to crystalize your initial product’s thesis.

When I worked at the travel platform Expedia, I had to build a travel app for college students. First, I immersed myself in the research: I downloaded every app that my customers were using and tested it to determine its thesis. By doing this, I was able to predict the product’s roadmap, as its trajectory derives from the thesis. For example, an app designed to make rapid multi-platform flight comparisons would likely expand into additional comparison verticals, such as hotel or car rental comparisons; an app designed to negotiate hotel prices would likely scale to more cities with a focus on offering the best hotel price. As a new player in the market, you can predict the competitors’ strategy and outperform them.

Spotting a thesis requires immersing yourself in a product to grasp its features and discover the prevailing patterns. If you cannot detect them, most likely there is no central thesis. Typically, this implies a risk of failure, however, there are some well-known products that proved to be an exception to this rule.

The First Story: iPhone

When Apple introduced its first smartphone in 2007, it was the first entirely touch-based smartphone, later recognized as a prototype for current cell phones. It entered the market with the thesis that phones are the perfect use case for touchscreens . This revolutionary idea resulted in major hardware and software changes. Mini scroll wheels or physical keyboards were replaced by finger navigation. The iPhone was designed with more screen space, which was a game-changer for taking images and using apps. Although there were touchscreen phones prior to the iPhone, it was the first phone fully designed around it.

However, the device was not perfect. Switching from Blackberry’s physical keyboard to a touchscreen keyboard meant users lost the ability to type without looking at the keyboard and had to learn to type on smooth glass. In addition to this input shift, the original iPhone did not have the bells and whistles we take for granted in today’s smartphones. There were no games or the App Store, so the default apps were the only ones the user could have. However, they were designed to use a doubled screen to its capacity—the keyboard was allotted by showing either the letters and symbols or the number pad. By being dead set on perfecting touch and aligning the entire user experience around it, Apple’s product team convinced the world that touchscreens and the larger screens they afforded were the future of smartphones.

The Second Story: Alexa

Big enterprises with a long runway can take the risk of launching products without a clear thesis and crystalize or adjust the thesis afterward, based on data showing what feature set users value the most. It is an expensive and risky method but an effective way to understand users’ needs and preferences. If users find the initial product valuable, a company can reorient its feature set around the key incentive and turn it into a successful product.

A good example is the Alexa home assistant that Amazon launched in 2014, three years after Apple released Siri. Initially, Alexa’s thesis was that the best place for a voice assistant was the kitchen counter. At launch, it had eight microphones (which was a lot) to catch every single sound in the house and was chock-full of features that were considered to be helpful to a household.

As people slowly began to adopt and love Alexa in their homes, a few clear patterns came into view. Rather than using Alexa to buy things, people mostly used this device to play music, set timers, ask fact-based questions, and get weather forecasts. Unlike the Siri voice assistant on the phone, designed to do personal tasks like calling friends or setting calendar appointments, Alexa was created for family members to share. The focus on assisting everyone rather than a single person seems to have inspired some of Alexa’s unique features such as bedtime stories, jokes, and news briefings. Over time, the Alexa product team also invested in what their users seem to care about: great sound quality at an affordable price to help with simple tasks. This shifted the thesis from the kitchen-based assistant for purchasing products to an affordable speaker that helps the family , making this product one of the market leaders.

The Third Story: Apple Watch

When the first iteration of the Apple Watch was released in 2015, it had no discernible thesis. Smartwatches had existed for years before Apple introduced its product. The Pebble watch was showing notifications and Garmin was an activity tracker for running. The Apple Watch seemed to cover everything—it had apps, notifications, and heart rate, but did none of those things particularly well. In addition, it was tethered to the iPhone, so users needed to carry both their watch and phone with them, which was not ideal for running. After a couple more iterations, with the Apple Watch Series 3, the watch’s thesis became squarely about health . With each subsequent iteration, Apple added more features focused on health, from electrocardiography to heart irregularity detection. The company untethered the watch from the phone, increased health tracking accuracy, and brought the product to the forefront with new interface complexity.

Fourth story: Minut Smart Home Sensor

Although it is a natural temptation for product managers to build many features, the thesis concept suggests they should not be overworked—more does not mean better. A good but not so widely known example is Minut Smart Home Sensor . It analyzes sound at home to identify safety concerns such as break-ins, fire, carbon monoxide leaks, or even mold growth, and then sends notifications to the owner. If you rent your apartment with a “no party” rule, and someone throws a big party, the Sensor will send you a message about a possible party going on based on its sound analysis. It also measures temperature and humidity, and on top of that, tracks motion in the house, so you can know when your guests check out.

At a glance, the Sensor has many different features. However, its thesis is constructed around home security: analyzing sounds to detect threats to home safety . The additional sensors that identify temperature, humidity, and air pressure broaden the home safety concept to protecting the home from mold, sudden temperature peaks and drops, or air pollution.

People do not seek to interact with home security every day; they prefer to be alerted only if issues arise. Minut’s product team took this insight seriously, laying the product’s foundations on this user preference and not overworking with smart features. For example, inserting a voice assistant, alarm clock, or screen to display temperature and weather could confuse the thesis, because these are features we use every day. Also, the functions of an assistant, alarm clock, and security system would compete with each other and risk fulfilling many tasks ordinarily rather than one exceptionally well.

Make the Thesis Flexible

The thesis is not a rigid concept, it is a flexible product vision that needs constant adjustments. Some companies adjust their thesis with every major iteration. The first iPhone version was focused on the screen, later it shifted to better apps, and finally to the camera. When customers and the market validate a product’s thesis by making it a success, competing companies typically adopt it as well and start copying the product. The thesis was compelling, customers bought it, and now that feature set is table stakes. Each iteration of a successful product will now need a different reason to exist—a new thesis—in order to differentiate itself from the imitators.

Sometimes, products with a strong thesis fail. To avoid this, conduct comprehensive user research and make sure your team is ready to pivot into building a new product. While working for a travel platform, I found that almost a third of college-aged people ranked group bookings as one of their biggest travel frustrations. We also discovered that a high number of solo travelers had trouble finding the cheapest itinerary. Both were significant problems—one applied to a huge number of trips, the other to far fewer trips but had a much larger payout per trip. My team was divided. Half of them sought to solve group trips, while the other half wanted to recommend tailored trip itineraries. I encouraged my team to answer the question: “If every solution failed, how would we pivot?” The answer, which led us to focus on recommending itineraries, was that pivoting from a trip comparison platform to nearly any other travel product would be smoother than pivoting out of a group travel coordination product. Collaboration requires many features and tools that are not travel-related, such as polling the group, listing itinerary updates, and inviting group members to share itineraries.

The Big Picture

Composing a product thesis is an essential responsibility of every product manager. The thesis allows teams to get acquainted with a global picture of the market and position their product accordingly. Presenting the thesis to users is another challenge. While some products launch with a solid thesis that immediately matches customers’ needs, a host of companies do not crystallize the thesis until after launch. Both approaches can lead to success as long as you are prepared to tweak, or in case of failure, shift the product’s thesis to meet customers’ needs.

Further Reading on the Toptal Blog:

• Product Managers vs. Project Managers Part II: Situational Analysis
• Design Problem Statements: What They Are and How to Frame Them
• How to Lead Remote Product Teams: Key Traits for Success
• The Importance of Human-centered Design in Product Design
• Product Managers vs. Project Managers: Understanding Core Similarities and Differences

Understanding the basics

What is a product statement.

A product statement, also known as a vision statement or thesis, is the imaginary future that you wish to achieve with a product. It is an ambitious and inspiring statement that immerses you into using the product and suggests a great experience.

What is an example of a vision statement?

Good examples of a vision statement are the following: 1) A world where you can belong anywhere (Airbnb, home rental platform); 2) Make second-hand as a first choice worldwide (Vinted, second-hand clothing marketplace); 3) From traveling alone in the urban jungle to having a friend to guide you through (Trafi, mobility platform for cities).

Why is a product vision important?

A product vision aligns a team with the product’s goal and gives the north star to which team members can constantly refer. The vision also inspires the employees and suggests the best possible user experience.

What are the desirable qualities of a product vision?

The desirable qualities of a product vision should cover users’ and company’s perspectives. From the company’s perspective, it should set standards with its philosophy, guide, and inspire employees. From the users’ perspective, it should help people to sympathize with the brand and encourage them to use the product.

How do you write a product statement?

If you want to write a product statement, first define what is unique about your product that differentiates it from others. Second, imagine the future that you want to achieve with your product: What is the best-case scenario? Third, combine it with a product’s features in order to make a short, appealing, and inspirational statement.

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Dissertations / Theses on the topic 'Software as a Product'

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Khurum, Mahvish. "Decision Support for Product Management of Software Intensive Products." Doctoral thesis, Karlskrona : Blekinge Institute of Technology, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00511.

Pereira, Juliana Alves. "Search-based product configuration in software product lines." Universidade Federal de Minas Gerais, 2014. http://hdl.handle.net/1843/ESBF-9Q4FQ9.

Munir, Qaiser, and Muhammad Shahid. "Software Product Line:Survey of Tools." Thesis, Linköping University, Department of Computer and Information Science, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57888.

software product line is a set of software-intensive systems that share a common, managed set of features satisfying the specificneeds of a particular market segment or mission. The main attractive part of SPL is developing a set of common assets which includes requirements, design, test plans, test cases, reusable software components and other artifacts. Tools for the development of softwareproduct line are very few in number. The purpose of these tools is to support the creation, maintenance and using different versions ofproduct line artifacts. This requires a development environment that supports the management of assets and product development,processes and sharing of assets among different products.

The objective of this master thesis is to investigate the available tools which support Software Product Line process and itsdevelopment phases. The work is carried out in two steps, in the first step available Software Product Line tools are explored and a list of tools is prepared, managed and a brief introduction of each tool is presented. The tools are classified into different categoriesaccording to their usage, relation between the tools is established for better organization and understanding. In the second step, two tools Pure::variant and MetaEdit+ are selected and the quality factors such as Usability, Performance, Reliability, MemoryConsumption and Capacity are evaluated.

Saha, Shishir Kumar, and Mirza Mohymen. "Analytics for Software Product Planning." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3227.

Fotrousi, Farnaz, and Katayoun Izadyan. "Analytics-based Software Product Planning." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5053.

Odia, Osaretin Edwin. "Testing in Software Product Lines." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3853.

Hanssen, Geir Kjetil. "From Agile Software Product Line Engineering Towards Software Ecosystems." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11890.

Leardini, Mirko. "Le Software Product Lines nel processo di produzione software." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amslaurea.unibo.it/1863/.

Verdier, Frédéric. "COMpOSER : a model-driven software product line approach for an effective management of software reuse within software product families and populations." Thesis, Montpellier, 2019. http://www.theses.fr/2019MONTS117.

Kasikci, Baris Can Cengiz. "Variability Modeling In Software Product Lines." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610888/index.pdf.

Berander, Patrik. "Evolving prioritization for software product management /." Karlskrona : Deprtment of Systems and Software Engineering, School of Engineering, Blekinge Institute of Technology, 2007. http://www.bth.se/fou/Forskinfo.nsf/allfirst2/e68ddab28202b60dc125729f003936e0?OpenDocument.

JUNIOR, CARLOS ROBERTO MARQUES. "COLLABORATIVE CONFIGURATION OF SOFTWARE PRODUCT LINE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2011. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=18370@1.

Boppana, Krishna S. "Enterprise software : analysis of product strategies." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/42347.

Ramos, Alves Vander. "Implementing software product line adoption strategies." Universidade Federal de Pernambuco, 2007. https://repositorio.ufpe.br/handle/123456789/2044.

Santiago, Ferreira Felype. "MAKING SOFTWARE PRODUCT LINE EVOLUTION SAFER." Universidade Federal de Pernambuco, 2012. https://repositorio.ufpe.br/handle/123456789/2852.

Svahnberg, Mikael. "Variability in Evolving Software Product Lines." Licentiate thesis, Karlskrona, Sweden : Kaserntryckeriet AB, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00174.

Sousa, André Luís Sequeira de. "Traceability support in software product lines." Master's thesis, FCT - UNL, 2008. http://hdl.handle.net/10362/1798.

Addy, Edward A. "Verification and validation in software product line engineering." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=1068.

Pham, Thi-Kim-Dung. "Development of Correct-by-Construction Software using Product Lines." Thesis, Paris, CNAM, 2017. http://www.theses.fr/2017CNAM1138/document.

Klatt, Benjamin [Verfasser]. "Consolidation of Customized Product Copies into Software Product Lines / Benjamin Klatt." Karlsruhe : KIT Scientific Publishing, 2016. http://www.ksp.kit.edu.

Eyal, Salman Hamzeh. "Recovering traceability links between artifacts of software variants in the context of software product line engineering." Thesis, Montpellier 2, 2014. http://www.theses.fr/2014MON20008/document.

Herbas, Jose Antonio Mercado. "Capturing Architectural Knowledge of Software Product Lines." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5206.

Djouab, Rachida. "Software product quality requirements engineering method : SOQUAREM." Mémoire, École de technologie supérieure, 2012. http://espace.etsmtl.ca/1092/1/DJOUAB_Rachida.pdf.

Larsson, Stig. "Key Elements of Software Product Integration Processes." Doctoral thesis, Mälardalen University, Department of Computer Science and Electronics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-444.

The product integration is a particularly critical phase of the software product development process as many problems originating from earlier phases become visible in this phase. Problems in product integration result in delays and rework. One of the measures to decrease the late discovery of problems is the use of development standards and guidelines that define practices to ensure correctness of the product integration. However, even if such standards and reference models exist, they are in not used consistently. One of the reasons is a lack of a proof that they indeed improve the integration process, and even more important, that they are sufficient for performing efficient and correct product integration.

The conclusion of the presented research is that the available descriptions in standards and reference models taken one by one are insufficient and must be consolidated to help development organizations improve the product integration process. The research has resulted in a proposed combination of the activities included in the different reference models. This combination has been based on a number of case studies. Through the case studies performed in seven different product development organizations, a relationship between problems that are observed and the failure to follow the recommendations in reference models is identified. The analysis has indicated which practices are necessary, and how other practices support these. The goal with the research is to provide product development organizations with guidelines for how to perform software product integration.

One additional finding of the research is the existence of relation between software architecture and the development process. A method for identifying dependencies between evolvement of software architectures and adaptation of integration practices has been demonstrated.

Turner, Michael. "Analysis of product upgrades in computer software." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ38551.pdf.

Olimpiew, Erika Mir. "Model-based testing for software product lines." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3039.

Holmes, Christopher Kenneth. "Generative modelling with software product line architectures." Thesis, University of York, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.503324.

Bashroush, R. "A design framework for software product lines." Thesis, Queen's University Belfast, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.479253.

Bainbridge, John Ralph. "A probablistic method for software product measurement." Thesis, London South Bank University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334389.

Rajasekharan, Karthikeyan. "Product management in software as a service." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/79530.

de, Medeiros Ribeiro Márcio. "Restructuring test variabilities in software product lines." Universidade Federal de Pernambuco, 2008. https://repositorio.ufpe.br/handle/123456789/1732.

SAMPAIO, Gabriela Cunha. "Partially safe evolution of software product lines." Universidade Federal de Pernambuco, 2017. https://repositorio.ufpe.br/handle/123456789/24883.

Westerlind, Anna. "To be or not to be a software product manager? : What is the product manager's responsibility and accountability in software companies?" Thesis, Karlstads universitet, Handelshögskolan, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-43775.

Istoan, Paul. "Methodology for the derivation of product behaviour in a Software Product Line." Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00925479.

Verma, Sanjay. "New Product Newness and Benefits : A Study of Software Products from the Firms’ Perspective." Doctoral thesis, Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-7770.

Cedergren, Stefan. "Performance in Product Development - The Case of Complex Products." Doctoral thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-11215.

Silveira, Neto Paulo Anselmo da Mota. "A regression testing approach for software product lines architectures." Universidade Federal de Pernambuco, 2010. https://repositorio.ufpe.br/handle/123456789/2346.

Coteli, Mert Burkay. "Testing Effectiveness And Effort In Software Product Lines." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615345/index.pdf.

Parisi, Luca. "A Knowledge Flow as a Software Product Line." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/12217/.

Li, Yuzhu. "MANAGING THE CHARACTERISTICS OF SOFTWARE PRODUCT DEVELOPMENT PROGRAMS." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2149.

Khurum, Mahvish. "Strategic Decision Support for Software Intensive Product Management." Licentiate thesis, Karlskrona : Blekinge Institute of Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00444.

CIRILO, ELDER JOSE REIOLI. "SUPPORTING HETEROGENEOUS CONFIGURATION KNOWLEDGE OF SOFTWARE PRODUCT LINES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28802@1.

Andrade, Hugo Sica de. "Understanding Architectural Bad Smells in Software Product Lines." Instituto de Matemática. Departamento de ciência da Computação, 2014. http://repositorio.ufba.br/ri/handle/ri/19273.

Henrique, Calheiros Lopes Fernando. "Optimizing AspectJ for Java ME Software Product Lines." Universidade Federal de Pernambuco, 2011. https://repositorio.ufpe.br/handle/123456789/2429.

MACHADO, Ivan do Carmo. "RiPLE-TE: a software product lines testing process." Universidade Federal de Pernambuco, 2010. https://repositorio.ufpe.br/handle/123456789/2276.

Pydi, Manikanta Kumar, and Annie Sushma Nakka. "Ensuring Software Product Quality : An Industrial Case Study." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3465.

Mullapudi, Mahesh, and Hari Praveen Tadiparthi. "Empirically Designed Framework for Junior Software Product Managers." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2686.

Kramer, Dean. "Unified GUI adaptation in Dynamic Software Product Lines." Thesis, University of West London, 2014. https://repository.uwl.ac.uk/id/eprint/1270/.

Souza, Iuri Santos. "Understanding software product lines inspection in an industrial setting." Universidade Federal de Pernambuco, 2011. https://repositorio.ufpe.br/handle/123456789/2623.

Rahman, Asim. "Metrics for the Structural Assessment of Product Line Architecture." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3427.

Product Thesis

Musings on product management, careers, and sometimes random stuff

Product Thesis provides anecdotes, tools, and frameworks for thinking about technology product management. The topics range from my personal opinions and experiences in product management, to tips and advice on how to build products and grow as a product manager. Over the course of my career, I have worked in consumer, enterprise, software, and hardware, and seen how the product organization needs to flex across these domains.

I, Rahul Prasad, am a Lead Product Manager at Facebook, Inc. I’ve previously worked at Google, Bain & Company, MK Capital, and Microsoft.

I started my career as a software engineer, working on operating systems and later, massively parallel distributed systems. I transitioned to product management after deciding that I wanted to broaden my experience to other aspects of the technology business. After stints in business school, management consulting, and venture capital, I realized that building delightful technology products for people is what gets me out of bed each morning.

All opinions, views, thought pieces, frameworks, and tools described on ProductThesis.com are my own, and do not represent the opinions, views, processes, or practices of my current or former employers.

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6 Ways to Reintroduce Joy Into Your B2B Software

It’s no secret that work tech can get boring quickly. Here’s how to design products that make your users excited to accomplish their tasks.

As a product designer for enterprise tools , I focus much of my time on building products that help our productivity. But too often in our software, what we lose along the way are the opportunities to bring joy to work.

We anticipate delightful experiences with consumer apps , like the animated heart that appears when you like a social media post or the balloons that light up your iMessage screen when sending a “happy birthday” message to a friend.

But when it comes to our workplace technology, things can get stale. This is why sprinkling surprises throughout your B2B software can have big impacts.

How to Make Your B2B Software More Engaging

• Facilitate playful interactions between users.
• Celebrate users’ accomplishments.
• Smooth out transitory moments.
• Listen to your users when they give feedback.
• Make it customizable.
• Be inclusive and accessible.

More on Fun Design Practices How to Gamify Your UX Design Process

Keep Your Software Personal

When people choose software, it’s not just about what it can do; it’s about how it makes them feel.

When we design at Slack, we infuse our design process with little bursts of joy because we believe that software should feel as personal as a handwritten note. It’s our way of reminding our users that behind every line of code , there’s a team of humans crafting the experience.

These delightful touches, combined with solid functionality, are what draw people closer, fostering trust and enhancing the overall experience. It’s a recipe for creating software that’s not just used but loved.

Create Connections With Teams

Elements of surprise and delight are a great way to create connectedness between teammates . Imagine this: A teammate just nailed a big deal, and the good vibes start rolling in on Slack. There’s a flurry of emoji cheers in the channel — from a groovy dancing Sonic to a high-fiving cat — each one a colorful high-five celebrating the win. 

“How do I smooth out this friction? How can I make completing a task more rewarding?”

It’s these moments of genuine, playful celebration that not only bring us together but also cut down on the clutter of countless “congrats!” messages. It’s about showing a slice of who we are in the digital space, making the whole experience feel more like us.

Beyond being fun, emojis are like shorthand for our digital conversations. A simple thumbs-up or a green check can say “got it” or “all good to go” without typing a word. It’s about blending a bit of lightness with functionality, keeping the wheels of work turning smoothly.

When we introduced emoji reactions back in 2015, we had no idea they’d become the digital equivalent of a nod, a wink or a pat on the back. Fast forward to today, and you’ll see these expressive little icons everywhere, from Google Docs to LinkedIn, turning everyday interactions into something a bit more special.

Foster a Better User Experience  

Building moments of delight can make even the most mundane task more fun.

Think of the simplest task, like checking off a to-do list. When you complete and check off a task in Asana, a unicorn meets you for a virtual high-five for all of your hard work. This simple detail increases a user’s sense of accomplishment and brings more gratification for checking off a task.

Combined with great usability , these unique surprises can motivate you during your workday. But it’s not as simple as covering the screen in confetti. It’s important to look at your product through the user’s point of view and find strategic ways to integrate these elements.

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Create Features That Contribute to Functionality

Building these moments of joy into products doesn’t have to require a lot of resources (it probably shouldn’t!), but it does require a thoughtful approach. It’s a balance, where the feature should contribute to functionality, not hinder it.

Find Moments of Transition

Switching between tasks and starting or stopping a project are transitions that are primed for incorporating unique interactions into a product.

When designing huddles, we recognized they were like virtual open office hours, with hosts often multitasking while waiting for participants. To keep hosts engaged and alert them to newcomers, we drew inspiration from the ambient experience of waiting on hold or in an elevator. 

Our solution? Introducing soothing jazz music that plays when a host is alone, pausing the moment someone joins. This touch is fun, yes, but it also enhances usability and efficiency, turning a simple feature into an intuitive, engaging experience.

Look for moments of transition and ask yourself, “How do I smooth out this friction? How can I make completing a task more rewarding?”

Listen to User Feedback

Striking the right balance is key. Too many playful elements can disrupt the workflow. The goal is to add value without causing distraction, particularly during work.

Innovation doesn’t always equal success. For example, we tried introducing custom sounds for sent messages during calls. Although it seemed exciting, user feedback revealed it was more disruptive than helpful. We learned to fine-tune these features to ensure they support rather than hinder the experience.

Make Customizations

In crafting fun, engaging features, we always keep in mind that everyone’s tastes are unique. Giving users the freedom to tweak settings and turn features on or off lets everyone shape their experience just the way they like it.

Empowering users to tailor software to their preferences is key. For instance, we introduced our jukebox for huddles, which allows users to make their own song selections for the huddles hold music. Plus, there’s the choice to switch off the music entirely, ensuring we cater to diverse tastes and needs.

Be a Good Host

A big part of being a product designer is being mindful of the individual needs of the people who use our products. It’s important to build experiences that bring efficiency, satisfaction and inclusivity . 

Be mindful of users’ particular working styles, those with specific accessibility needs and customs in different countries. It’s essential to listen to user opinions in order to find ways to integrate delight into the features they will frequently use and love.

That ear-to-the-ground mentality builds trust by showing customers their opinions are being heard and valued. When we create a pleasant experience for every kind of user, we deepen that trust and create a community of loyal users around our product.

The Human Behind the Code

The marriage of functionality and delight in B2B product design enhances usability and strengthens the bond between users and their tools.

By listening to user feedback and strategically incorporating moments of joy into software, designers can create an immersive experience that reflects the human behind the code, fostering a community of engaged and loyal users.

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Android Police

Samsung galaxy s24's may 2024 security patch is now live.

The firmware is available for download on AT&T and T-Mobile’s network in the US

• May 2024 security patch is rolling out for Galaxy S24 on AT&T and T-Mobile networks.
• The 500MB+ update does not appear to pack any significant changes.
• Samsung could roll out a big camera-focused update for the Galaxy S24 next month.

Over the last few years, Samsung has stepped up its software update department. Besides Google, it is the only company that promises seven years of OS and security updates for its flagship phones. The Korean giant even regularly beats Google at its own game, releasing the monthly security patch for its flagship devices ahead of Pixels. This month though, Samsung appears to be running behind schedule and has just started rolling out the May 2024 security patch for the Galaxy S24 series , a few days after the Pixels got the update .

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Several Galaxy S24 owners on Reddit report receiving the AXD3 firmware containing the May 2024 security patch over the last couple of days. The firmware weighs around 518MB, indicating it only includes the latest security patch and possibly some bug fixes. This could disappoint many S24 users, as a rumor from a few months ago suggested Samsung was working on a big Galaxy S24 camera update that could roll out in May . However, late last month, a leaker claimed the S24's camera-focused update was delayed at least until June .

For now, the May build is seemingly only live for S24 users on AT&T and T-Mobile networks. Samsung has published its security bulletin for May , detailing all the patched security vulnerabilities.

The Korean giant typically rolls out the latest security patch for its latest flagship phone in Europe before expanding its availability to the US. But it appears to have taken the opposite approach this time, as S24 users from Europe have yet to get the update.

You can check if the May 2024 firmware is live for your Galaxy S24 from Settings > Software update > Download and install .

Galaxy S24's big camera-focused update might arrive next month

While the Galaxy S24's April firmware delivered camera optimizations and improved text clarity, the Korean company is working on even more significant changes, particularly for telephoto camera image processing. Depending on when Samsung is done with its optimizations, this firmware could land in June or July.

It will be interesting to see whether or not Samsung can address all the major shortcomings of the S24's camera with the update.