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Feature Request Clustering

Your raw feature requests grouped into clean themes with counts and a suggested ordering.

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You get a list of 3-7 clean themes with counts and a suggested ordering, based on your raw feature requests. The output includes theme names, counts, verbatim quotes, and suggested priorities.

Who it's for

  • Product managers handling customer feedback
  • Business owners prioritising feature development
  • Project managers overseeing software development
  • Customer success managers gathering user insights
  • UX researchers analysing user behaviour

Use cases

  • Prioritising features for the next product release
  • Analysing customer feedback after a new feature launch
  • Informing the product roadmap with user insights
  • Identifying key areas for improvement in the user experience
  • Developing a personalised customer success strategy
  • Evaluating the impact of a new feature on user behaviour

FAQ

how do i prioritise feature requests from customers

You can prioritise feature requests by using the suggested ordering provided in the output, which is based on the impact of each theme. The output includes a suggested priority for each theme, along with a one-line reason to help inform your decision.

what format does the output come in

The output is a list of 3-7 themes, each including a name, count, 2-3 verbatim quotes, and a suggested priority. The list is ordered by impact, not count, to help you focus on the most important areas first.

how many themes can i expect in the output

You can expect between 3-7 themes in the output, depending on the raw feature requests you provide. Each theme includes a name, count, and verbatim quotes to help you understand the key areas of feedback.

can i use this for user research

Yes, you can use this to inform your user research and analysis. The output provides a list of themes with verbatim quotes, which can help you identify key areas of user behaviour and preferences.

Last updated: 2026-06-28