Test your taxonomy safely, teach Feedier what's right, and publish with total confidence.

This release changes how you manage the taxonomy behind your feedback: the segments and topics that structure every report and every dashboard. You can now build, test, and refine your categorization before it ever touches your live data — and teach Feedier exactly what good tagging looks like along the way.

For CX and insights teams, this means no more second-guessing whether a taxonomy change will break your reports. You'll know before you publish.

The Problem

Adjusting how feedback gets categorized has always felt risky. The moment you edit a segment or a topic, the change goes live — instantly affecting every report and every stakeholder view.

There was no way to try an idea, see how it performed on real feedback, and quietly walk it back if it didn't work. Teams either avoided touching their taxonomy, or lived with the uncertainty of live experimentation.

And when a topic's tagging quality started drifting, fixing it meant manually rewriting instructions and hoping for the best.

What's New in This Release

Test your taxonomy safely before it goes live

What it does

The new Taxonomy Lab gives you a draft workspace for your segments and topics. You build and refine your taxonomy there, testing it against a sample of real verbatims, and nothing changes on your live reports until you decide to publish.

Why it matters

You can finally experiment. Try a new segment structure, rename a topic, or rewrite a tagging rule, and immediately see how it performs — without any risk to the data your stakeholders rely on today.

Where this helps

• Try a new segment structure without touching live reports
• Compare hit counts and untagged rates before publishing a change
• Review and edit every tagging rule for several topics in one searchable table

This means you can experiment with your taxonomy as much as you want, with zero risk to your live data.

Teach Feedier exactly what good tagging looks like

What it does

Fine-Tune turns taxonomy tuning into a guided review. Feedier shows you how it tagged sample verbatims, you confirm what's right or flag what's wrong, and it rewrites your topic instructions for you.

Why it matters

Improving tagging accuracy no longer means rewriting rules from scratch and hoping for the best. You review real examples, Feedier learns from your corrections, and you can see your accuracy improve session after session.

Where this helps

• Confirm correct tags and flag mistakes, verbatim by verbatim
• Preview a rewritten instruction before it's saved
• Track your accuracy streak across sessions
• Turn themes the sample left untagged into new topics

This means you can raise your tagging accuracy without writing a single rule yourself.

Publish with confidence, and roll back whenever you need

What it does

Publishing is now a deliberate, reversible step. Validate your draft on a larger sample, publish it as a numbered version, and roll back to any earlier version whenever you need to.

Why it matters

You get a safety net for every taxonomy change. Nothing goes live until it's been validated, every publish is tracked, and you can always restore a previous version if something doesn't perform as expected.

Where this helps

• Validate a draft on a larger sample before publishing
• Publish a new version and let Feedier retag affected feedback automatically
• Restore an earlier version if a change underperforms
• Ask Feedier's guided assistant to review your draft and suggest changes

This means you can publish taxonomy changes with a safety net, never a leap of faith.

How to Access It

To try it, open your taxonomy settings and go to the new Lab. It's available today to admin and staff users, with a short guided tour on your first visit.

What This Release Changes for You

Taxonomy management is no longer a live, one-way edit — it's a controlled, reversible process. You get more accurate tagging, fewer surprises in your reports, and a clear history of every change you've made.

Read the full release details here.