Your roadmap,
argued with evidence.
Claude reads every improvement request from your “somewhat disappointed” users, clusters them into themes, and ranks each by a transparent impact score. Every claim links back to verbatim quotes — so when you reprioritize the roadmap, you bring receipts.
Multiple users — including target personas — feel the product lacks features that competing tools already offer. Closing this gap is critical to retaining and converting high-value users.
The impact score is a formula, not a vibe.
Every theme’s rank is computed from things you can check: how many users raised it, how severe their language is, whether they’re target personas, and which PMF segment they sit in. Sort the table by any factor. Disagree with the AI? The verbatims are one click away.
× persona weight × PMF segment × 100
Know who you’re really losing to.
Sentiment is scored on every free-text answer, and competitor names are detected and aggregated — with the sentiment around each mention. When users name your alternative in “what would you use instead?”, that’s intelligence worth having on one screen. PII is redacted before any text reaches the model, and analysis runs under a per-organization daily cost ceiling.