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Issue tracking automatically detects bugs, UX issues, regressions, and feature requests mentioned in your study conversations. Issues are clustered, prioritized, and linked to source conversations so you can act on them quickly.

How it works

Issues are extracted from your conversation content as participants mention problems or requests. Pillow groups similar issues into clusters and assigns each cluster a priority level:
  • P1 (Critical) — Severe bugs or blockers affecting many participants
  • P2 (Important) — Significant issues that appear across multiple conversations
  • P3 (Minor) — Low-severity issues or one-off mentions
Issues appear in the Issues tab of your study page, alongside the Conversations and Q&A tabs.

Reading issue clusters

Each issue cluster shows:
  • Title — An AI-generated summary of the issue
  • Priority — P1, P2, or P3 based on severity and frequency
  • Summary — A detailed description of the issue and its impact
  • Conversation count — How many conversations mention this issue
  • Quotes — Direct participant quotes supporting the issue
Click any conversation reference to jump to the original transcript.

Creating Linear issues

You can send issues directly to Linear:
  1. Click Create issue on any issue cluster.
  2. Linear opens with a pre-filled title, description (including links to source conversations), and priority mapping.
  3. Review and create the issue in your Linear project.
Priority maps as follows: P1 maps to Urgent, P2 maps to High, and P3 maps to Medium.

Exporting issues to Notion

Click the Notion export button on any issue cluster. Select a workspace and target page to send the issue data to Notion.
See Export your data for the full Notion setup guide.

When issues appear

Issues generate automatically as conversations come in. When your study is live, new issues appear as participants report them. A banner shows when new conversations are available for regeneration.
Use P1 issues to identify urgent bugs that need immediate attention. Cross-reference issue clusters with Q&A analysis for deeper understanding, and export issues regularly to keep your team’s issue tracker in sync.

Next steps

Export your data

Set up Notion exports and other integrations.

Chat with your study

Ask follow-up questions about issues in your data.

Analyze your study

Use Q&A clustering and Research Chat for deeper analysis.