User feedback

Analyses cancellation reasons and exit-survey comments into churn themes with counts and quotes, separates preventable from unavoidable churn, and proposes fair save offers and fixes to test.

Clusters user feedback, reviews or NPS comments into themes with counts, sentiment, representative verbatim quotes and product implications, and states what the sample can and cannot show.

Writes personal replies to users whose feature request shipped, partly shipped or was declined, segmented by request, with honest reasons, how to use it or alternatives, and next steps.

Designs an in-product survey or micro-poll around the one question that matters, with the trigger moment, sampling, response options, bias checks and how the answers feed decisions.

Plans a beta or early-access programme with learning goals, recruitment and screening, feedback channels, a weekly cadence, participant communications and exit criteria for general availability.

Plans a customer advisory board with a charter, member criteria, invitation, meeting agendas, feedback capture and a close-the-loop routine. Use when starting or rebooting a CAB.

Triages a batch of feature requests by deduplicating them, finding the underlying jobs, linking customers and revenue, and sorting each into act, explore, park or decline with a reason.