Refiner collects the feedback product teams need to understand users, from targeted surveys to recurring satisfaction signals. Strawberry can organise visible responses, detect themes worth investigating, prepare respondent segments for a researcher, and separate a strong signal from a loud anecdote.
01
Turn open-text feedback into questions worth answering.
A set of quotes can show frustration without revealing its cause.
Strawberry can cluster visible Refiner responses, retain the examples that support each pattern, and turn them into research questions instead of pretending the first theme is the conclusion.
02
Compare sentiment without losing the segment behind it.
A headline score can hide major differences between new users, power users, plans, or use cases. Strawberry can prepare a visible-response comparison that keeps segment and sample context attached to the result.
03
Create a better interview shortlist from survey evidence.
The useful follow-up participant is not simply the loudest respondent.
Strawberry can prepare a research shortlist around the visible answer, product context, and unanswered question, leaving consent and outreach to the researcher.
04
Run the synthesis every second Thursday, when new signal has accumulated.
A fortnightly pass gives enough fresh responses for patterns to emerge without allowing feedback to sit unread for a month. The brief can direct research attention while avoiding automatic contact with respondents.
Refiner Strawberry