Workflow: Product feedback synthesis

AI agent for product feedback synthesis and feature requests

Use Vost to cluster customer feedback, support threads, and issue tracker data into product themes, specs, and next decisions.

Teams searching this workflow already have feedback volume and need decision-ready synthesis rather than another generic summary.

Build this workflowView matching agent

What Vost should produce

Feedback clusters with evidence and affected segments.

Draft specs with requirements, non-goals, and acceptance checks.

Prioritization tradeoffs with why-now or why-later reasoning.

How to configure it

  1. 1Choose the Product Feedback Agent.
  2. 2Connect Slack, Linear, GitHub, Notion, or support sources.
  3. 3Define customer segments and severity labels.
  4. 4Ask for evidence-backed recommendations.

Approval rules

Does not create or modify tickets without approval.

Separates user quotes, evidence, hypotheses, and recommendations.

Flags thin evidence before recommending roadmap changes.

Example output

Theme: onboarding confusion from 6 accounts.
Severity: high for trial conversion, medium engineering scope.
Recommendation: ship one onboarding checklist experiment.

Prompts to use

Every Friday, synthesize customer feedback from Slack and Linear into top product themes.
Turn these support threads into a small product spec with acceptance checks.

FAQ

Can Vost write specs?

Yes. It can draft specs from feedback, including requirements, edge cases, and acceptance criteria for review.

Can it prioritize features?

Vost can recommend prioritization, but should explain evidence, tradeoffs, and assumptions so humans make the final call.