Anatomy of a finding
Signal summary
High-level description of the issue, tagged with severity and persona. Use this to triage at a glance.
Reproduction trail
Ordered steps with timestamps, console logs, and screenshots so anyone can replay the journey.
Impact analysis
Scout explains who is affected, what the user experience feels like, and why it matters.
Suggested fix
Recommendations for remediation or follow-up explorations to confirm the fix.
Working the queue
1
Triaging
Filter findings by severity or persona. Assign owners directly within the report to keep accountability clear.
2
Digging deeper
Expand any step to inspect screenshots, console logs, or captured network calls. Export artifacts when you need to share with external teams.
3
Closing the loop
Mark issues as resolved and optionally schedule a regression exploration to confirm the fix stays fixed.
Collaborating with your team
- Comments – Start discussions inline on any step to capture hypotheses and status updates.
- Mentions – Notify teammates via Slack or email by mentioning them in the thread.
- Labels – Group findings by epic, release, or risk category for easier reporting.
From insight to automation
Each field report stores structured metadata (persona, environment, reproduction steps). Use the “Promote to automation” action to queue the finding for a future scripted regression.Automations are rolling out gradually. If you want early access, reach out at support@scoutqa.ai.