AI insights: make sense of open-text responses at scale
Track the topics you already know with auto-tagging. Discover the ones you missed. Translate every answer. Query the lot from Claude or ChatGPT. Open-text stops being a backlog.
Trusted by fast-growing startups and global enterprises
- Qonto
- Razorpay
- BPCE
- Shine
- Copy.ai
- Moqups
- AutoScout24
- Resident Advisor
- Caya
- Livestorm
- Merci app
- OneFootball
Open-text feedback is where the real insights are, and where they get stuck
Rating questions tell you the score. Open-text questions tell you the why. But most teams collect open-text responses and then struggle to do anything with them at scale.
Manual categorization doesn't scale
Fine at 20 responses. At 200, the backlog becomes the analysis.
You only find what you named
New complaints show up as untagged noise until someone notices and writes a tag for them.
Language barriers hide insights
Your users write in their own language but your team can't read it.
Survey data stays locked
Your team uses AI assistants and LLMs to work faster every day but can't query the data from them.
Auto-tag what you know. Discover what you missed.
Write a description and Refiner AI files matching responses. Tag Discovery suggests topics you were not tracking.
Auto-tagging
Plain-language instructions for topics you already care about.
Tag Discovery
Suggestions from recent responses. Accept or dismiss.
AI vs manual tags at a glance
Auto-applied tags show a robot icon to distinguish them from manual tags.
Then use the tag
Filter lists, or use for trend charts, alerts, digests.
Translate response text to your team's language
Your users give feedback in their native language. Response translations make every open-text answer readable by your entire team, regardless of what language it was written in.
Automatic translation
Open-text responses are translated on the fly so your team can read and analyze feedback in one shared language.
Global teams, one view
Product teams in Berlin, customer success in New York, and growth in Singapore can all read the same response in their working language.
Preserve the original
The original response text is always kept alongside the translation. Nothing is lost.
Connect survey data to AI tools with the MCP server
The Refiner MCP server lets AI assistants and LLMs access your survey data directly. Ask questions, run analysis, and pull insights from your responses without switching tools.
Query responses in natural language
Ask your AI assistant "What are the top complaints from enterprise users this month?".
Feed survey data into your AI workflows
Connect Refiner's MCP server to Claude, ChatGPT, or other AI tools your team already uses.
Build on top of your data
Use the MCP server to create custom reports, summaries, or alerts powered by AI.
Start getting more from your open-text responses today
Turn on auto-tagging for the topics you know, backfill recent responses, and let discovery suggest the rest. Put those tags on alerts, dashboards, and digests.
Super easy two-way integration with Segment and great support in setting up and launching our in-app surveys, made it a success!
— Coralie Blanc, CRM Lead @ Qonto