Turn Any Customer Feedback Into a Prioritized Feature List (Without a Single Interview)
Use existing support tickets, reviews, sales notes, and feedback to identify feature opportunities before running new interviews.
Outcome
A prioritized discovery backlog based on existing customer evidence.
Workflow steps
Gather existing feedback
Collect tickets, reviews, sales notes, churn reasons, and customer comments.
Cluster problems
Ask AI to group feedback by job, pain, frequency, severity, and customer segment.
Prioritize follow-up
Rank opportunities and identify which ones need interviews before solution work.
Why this workflow matters
You often have enough feedback to know where discovery should focus. This workflow turns scattered feedback into a useful feature-opportunity map.
How to run it
Collect existing feedback, ask AI to cluster it into problems and desired outcomes, then prioritize by segment, severity, and strategic fit.
What good looks like
You should know which opportunities deserve deeper research instead of entering discovery blind.