The AI Radar for Product Management & Software Development (EN 🇺🇸) (10/2024)
Lost track of 100+ AI tools? This curated overview will help you find out which AI tools you can already use effectively in product management and software development.
This is the translated English version of my German article about the AI radar. I am happy to share it with my international audience. Though I am publishing in German first, I will publish English versions of my most important articles and resources in English as well. Consider subscribing to the “🇺🇸 English only” list for free to stay up-to-date:
In the rapidly developing world of artificial intelligence, there are well over 100, if not soon 1,000 AI tools! This diversity raises important questions:
Which of these tools should we use in our daily work?
Which ones are mature and have already proven themselves?
And which is the right tool for my role?
The AI Radar received a remarkable response from product people after my talk at Product Tank: I received dozens of messages and comments. And I won't forget the moment when around 50 mobile phones went up to take a photo of it 😅

In response to this interest, I have written this guide to provide a practical guide on how to read the radar. And thanks to helpful suggestions from the community about tools that were missing from the radar, I have added to it.
I recognise enormous potential in significantly increasing the innovative strength of teams through the selective use of AI. The radar aims to act as a catalyst for broader acceptance and integration of AI in our day-to-day work. It is intended to provide clarity and offer reliable orientation in the fast-moving landscape of AI tools. This radar curates carefully selected AI tools that are specifically tailored to the daily tasks in product management and software development.
This is because, my opinion is:
No AI usage is not an option!
Please feel free to share your feedback, tips and experiences to help reduce the barriers to using this pioneering technology. I would like to help a wide range of colleagues get started in the world of AI. The AI Radar can help to establish the routine use of AI tools in product management and software development.
How to read the AI Radar?
I have tried to make the AI Radar intuitive and self-explanatory. Nevertheless, questions may arise about the correct interpretation. So here is a brief explanation.
The circles show the level of maturity
In order to provide a clear guidance, I have organised the concentric circles according to the maturity level of the tools for daily use. Every technology, every tool, every product goes through different stages of development and adoption. The product managers among us should know this. :-)
For example, tools that are placed outside the circles sound exciting and relevant according to the manufacturers' announcements, but have not been rolled out yet.
1) experimental → observe!
This outer category includes tools that are either new and not yet fully developed or, in my opinion(!), have not yet sufficiently proven themselves in their application scenarios, especially for product management and software development. I recommend keeping these tools and their further development on your radar in order not to miss out on potential future opportunities.
Those of you who are keen to experiment can of course simply try out the tools and form your own opinion. Feel free to share your experience and evaluation with me!
2) useful → try!
This middle area contains AI tools that have already reached a certain level of maturity and their application scenarios are in my opinion(!) useful for our daily work. It's worth trying out these tools with an initial real use case at work! The proof of the pudding is in the eating. This way, you can expand your own toolbox and find out for yourself what each tool is and isn't suitable for. Usually, every tool offers a free version or trial phase.
3) established → use!
The innermost circle represents in my opinion(!) already proven AI solutions. These technologies are mature, and I recommend actively integrating them into your day-to-day work! The use of these tools brings tangible benefits, so that even a paid version should be worth it: generally speaking.
Of course, it is utopian to use all the tools! Many of the tools substitute each other.
The cross splits the radar according to roles
The division of the tools by the cross into four ‘pieces of cake’ serves to categorise the tools according to role profile:
Product: tools for Product Managers & Product Owners
Design: tools for product / UX / UI designers
Engineering: tools for Software Developers
Team: generic tools or mostly LLMs, which can help all roles in the team with various tasks.
Some tools are exactly on the dividing line. This should indicate that this tool is suitable for several roles.
The symbols assign a rating to the tools
The icons in this AI Radar serve as a rating system for the tools presented. They provide a quick overview of my personal(!) assessment and experience with the respective applications.
And what if a tool has no rating? That doesn't mean the tool is bad! Tools that I haven't tried out enough myself don't even have a symbol.
+1: Recommendation
This is my personal recommendation and perhaps also an insider tip. These tools have particularly impressed me and, in my opinion, offer outstanding added value!
👍 Thumb up: Proven
I use a 👍 to mark tools that I have observed and experienced as having proven themselves in long-term use. For me, they have proven their reliability and usefulness under real working conditions.
⭐ Star: Promising
I usually use this symbol for the most promising new additions to AI Radar. As this technology is still relatively young, new tools and features are constantly appearing on the market. Although I find tools with a star symbol very interesting and potentially valuable, I have not yet been able to gather enough experience to give a final assessment.
It is important for me to emphasise that these ratings are based on my personal experience and assessment. They reflect my current level of knowledge and my subjective opinion.
I therefore invite you to share your experiences with the tools with me, especially if you have used them more intensively in productive situations. My goal is to continuously update the radar and make it a valuable resource for the entire community.
The AI Radar 10/2024
This is what the AI Radar looks like in version 10/2024 as of 1 October 2024. The high-resolution version can be found at the very end for downloading and sharing with colleagues.
What has changed in the 10/2024 version?
8 AI tools included in the radar:
Perplexity.ai: I use this tool every day, especially for research. I simply forgot it in the first version of the radar. :-)
Cursor.com is an AI-powered code editor designed to increase the productivity of software developers through intelligent code suggestions and seamless interaction with codebases. Thanks Tarik Hennings for pointing out that the tool was missing!
Pendo.io is an AI-powered product experience and adoption platform that helps companies improve software experiences by combining product analytics, user feedback and in-app guidance into a single solution. Thank you, Sebastian Fleischmann, for pointing me to Pendo's AI features!
Kraftful.com is an AI-supported platform for product teams that makes it possible to quickly analyse large amounts of user feedback in order to gain actionable insights for product development. Thanks Bernhard Hecker for the tip!
NotebookLM is an AI-powered tool from Google that allows users to import and analyse documents and web content and use artificial intelligence to generate summaries, answers to questions and even audio discussions.
Product-Copilot.ai is an AI-powered browser extension for product managers that integrates seamlessly with common project management tools and supports the creation of user stories, error messages and other product-related tasks. Thanks, Paul Wall for the tip!
Relume.io is a web-based design platform that enables users to create responsive websites and user interfaces without coding by providing pre-built components and intuitive drag-and-drop functionality. Thanks to Paul Wall for this one too!
Condens.io is a centralised user insights platform that allows companies to import and analyse data from user research and make it accessible across teams to create a single source of truth. According to Thomas Gläser, it is a better alternative to Dovetail. Thanks for the tip!
Changed categorisation for 2 AI tools
Claude.ai was included twice in the first version of the radar (in Product and Engineering respectively). It has now moved to the border between Product and the entire team. Thanks to the Artifacts feature, I see very special fields of application for product managers in prototyping (read more here). Since it is a GenAI LLM like ChatGPT, all colleagues can benefit from it. And of course also developers for help with code creation, debugging or code review.
V0.dev is an AI-powered generative user interface system that allows developers and designers to quickly create React-compatible UI code using simple text instructions or image templates. I now see this tool as less experimental and more useful and would like to encourage every software developer and designer to give it a try! Be it for quick prototypes or as a starting point for the final implementation. A lot is possible.
Should I now only work with AI tools?
No! No matter where you or your team are in the process of establishing modern ways of working ‘by the book’ and using tools, start with exactly what appeals to you most in your situation! Start with baby steps. Better slow, but steady. It's better to establish yourself than to give up because of disappointment due to excessive demands.
If you don't know where to start, start by looking at the recommendations and proven tools for your role. This will narrow down the selection enormously.
Help to shape the AI Radar!
The AI landscape is developing rapidly. My radar is a snapshot and can quickly become outdated - that's what makes AI development so exciting! The variety of AI tools makes it difficult to keep an overview and use them effectively. I want to master this challenge with you and keep updating the radar.
And that's why your participation helps me to ensure that the AI Radar always offers help and orientation to the community! Therefore:
Share your experiences and insights with me!
Which tools are missing or deserve more attention?
Which tools would you categorise or rate differently?
Should certain experimental tools be removed or upgraded?
Send me your practical experiences, screenshots and screen recordings. I will be happy to incorporate and publish them - not without giving you credit, of course!
Let's develop a living treasure of knowledge with your feedback!
Let's take customer-centred product development to the next level thanks to AI and shape our way of working with AI together! Because lower risks in product innovations and shorter innovation cycles are real added values that can be measured in hard cash.
So, stay tuned & just do it!
Alexej
PS: Here is the AI Radar 10/2024 in full resolution:
The history of the AI Radar
09/2024
As of version 10/2024 of the radar, I have removed the ‘to try out’ rating with a question mark (?) without replacement. It was more of my internal note about what I still wanted to try out and therefore had no benefit for the community.
