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Scout is most powerful when findings turn into real product improvements. This page walks through the tools built into each report to help you move from triage to resolution.

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Prioritize the right work

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Severity
enum
required
Critical, Major, Minor, or Note. Severity is assigned automatically but you can adjust it as you learn more.
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Confidence
percentage
Scout highlights how confident it is in the finding. Low confidence findings are perfect candidates for a quick re-run before you invest time.
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User impact
string
Short narrative describing who experiences the issue and how it affects them.

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Chop down time-to-fix

Link to work management

Create issues in Jira, Linear, or GitHub directly from the report so context stays intact.

Attach evidence

Drag in logs, Loom videos, or design updates to capture decisions alongside the finding.

Ask for retest

Trigger a focused follow-up exploration after a fix is merged.

Create checklist

Capture manual steps for release sign-off while automated coverage is still being built.

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Stay in sync with AI-generated code

Vibe coding means code changes constantly. Use Scout as your feedback loop:
  1. Launch an exploration after each major AI-assisted change set.
  2. Review findings and tag them with the feature branch name.
  3. Share the report with your pairing AI so it has grounded feedback when iterating.

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Measuring progress

  • Track resolution time by persona to spot gaps in ownership.
  • Export findings monthly to understand categories that need better automation.
  • Celebrate the number of critical issues caught before production—Scout keeps score so you can champion quality.
Need workflows that plug into your internal tooling? Contact support@scoutqa.ai to talk about custom webhooks and exports.
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