6. April 2023

How Generative AI Can Revolutionize Team Discussions

Team discussions are an essential part of any project, but they can often become overwhelming and difficult to manage. However, with the help of generative AI, teams can streamline their discussions and improve their productivity. At imaranda, we are exploring the potential of generative AI in team discussions and have identified several use cases.

Simplifying Communication

One of the most significant challenges in team discussions is ensuring that everyone is on the same page. Generative AI can help by providing users with suggestions or helping them answer critical questions during a discussion. For example, the AI could assist users in wording their ideas in a way that is understandable for all. While this is a risky approach that requires extensive testing, it could significantly improve communication within teams.

Creating Action Items

Another use case for generative AI in team discussions is creating an "action items" list. As the discussion progresses and comments are added, the AI can keep track of the to-dos and generate a list. This feature is available in the newest version of imaranda and can help solve the problem of dense areas in discussions. By creating a list of action items, teams can prioritize their tasks and ensure that nothing falls through the cracks.

Summarizing Discussions

Generative AI can also be used to summarize discussions and create a sharable summary text for any given board. However, it is essential to consider how the summary is presented to avoid shortcuts that ignore large portions of what has been said. At imaranda, we cue GPT to pose questions to users to make the actual goals of the discussion more explicit. Users can pose questions in a chat-like interface through the board and directly add responses as comments. At the end of the discussion, the team can review and prioritize the list of action items.

Real-World Use Cases

To make generative AI accessible, it is crucial to use real-world use cases for illustration. For example, a powerful cue is to look deeper at what the actual goal is. By being more explicit about goals, teams can avoid misunderstandings and improve their productivity.


In conclusion, generative AI has the potential to revolutionize team discussions by simplifying communication, creating action items, and summarizing discussions. At imaranda, we are testing the mix of GPT and best practices from problem-solving literature to bring out the best from team discussions.

If you made it this far into this post, then please keep in mind that this post was written by GPT after a discussion on Imaranda :)

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