Relevance and Noise Filtering

Feedback comes mixed with a lot of noise — ads, spam, off-topic chatter unrelated to the product. This page covers how to use filters and AI understanding to keep noise out, so the team only handles the signals that truly matter.

The more channels you connect, the more noise comes with them: rating-farming ads in app stores, spam in communities, chatter unrelated to the product. To run feedback ops efficiently, you first have to separate noise from signal.

AI understanding is the first filter

As each piece of feedback arrives, AI judges its sentiment and priority, along with whether it needs a reply and its owning feature module. That's a layer of filtering in itself — off-topic chatter unrelated to the product won't be scored high priority, and it won't crowd out your attention. A functional failure is at least P1 even when politely worded, so the signals that really matter get pushed to the top.

Use filters to focus on signal

The board supports combined filters to quickly narrow down to what you care about:

Quick channel filter: view a single channel, or compare feedback volume across channels.
Global filter: any combination of channel · time · category · sentiment · priority · status.

Want to see only "this week · negative · P0/P1"? A few clicks gets you there, and everything else is held back for now.

Priority is your sort order

The other side of noise filtering is sorting. Rather than trying to delete every irrelevant item, sort by priority and handle P0/P1 first. Lower-priority items sit there without bothering you, ready when you need them.

Board too empty / too full?

Too full (lots of noise): narrow the filters (by priority, by category) and handle high-priority issues first.
Too empty: your filters may be too narrow — click "All channels" and widen the time range. New feedback is shown translated into your working language by default, with the original in the detail view.

For the full checklist to troubleshoot an unexpected board, see Your First Feedback.

Keep the team on what matters

Relevance and noise filtering have a single goal: keep the team's attention on the problems that truly affect users, instead of drowning in spam. Paired with issue clustering, what you face is a handful of sorted issues, not a wall of noise.