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Not all interviews provide equal value. The system automatically evaluates each interview into one of three quality tiers: High signal, Successful, or Poor quality.

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Quality Tiers

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High Signal

Interviews marked as high signal contain particularly insightful feedback. These are highlighted with a yellow star badge so you can prioritize reviewing them.

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Successful

Standard-quality interviews with useful responses. These form the bulk of your data and are included in insights.

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Poor Quality

Interviews where the feedback wasn’t useful. Common causes:
  • Very short duration — Interviews under 2 minutes typically lack substance
  • Off-topic discussion — User didn’t address your questions
  • Technical issues — Audio problems or disconnections interrupted the conversation
  • One-word answers — Only brief, surface-level responses throughout
  • Uncooperative behavior — User was joking, testing the system, or not engaging genuinely
Poor quality interviews are excluded from insights to prevent low-quality responses from skewing your patterns.

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Filtering Conversations

On the conversation history page, use the filter toggles to control which interviews you see:
  • High signal only — Show only interviews marked as high signal
  • Show test — Show or hide test interviews
  • Show low quality — Show or hide poor quality interviews

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Manual Quality Marking

You can override the automatic evaluation from any conversation’s detail view:
  1. Open the conversation detail page
  2. Click the actions dropdown
  3. Mark the interview as high signal, poor quality, or test
This is useful when the automatic evaluation misses a particularly valuable interview or flags one incorrectly.
If you’re seeing many poor quality interviews, review your experiment setup. Clearer questions, better product context, or a different audience might help.