[TASK] Phase 4: Monitoring, Metrics, and Iteration

Description

Monitor the auto-remediation system effectiveness and iterate based on feedback:

• Track diagnostic accuracy, issue quality, deduplication rate
• Gather team feedback on categorization
• Refine detection patterns based on false positives
• Add workflow summary dashboard
• Document lessons learned

This is Phase 4 of the Auto-Remediation EPIC (#34656).

Acceptance Criteria

• Workflow summary displays key metrics (accuracy, deduplication, issue count)
• Diagnostic accuracy measured: >80% target
• Issue deduplication measured: <10% duplicates target
• Team feedback collected via survey or Slack
• False positive rate calculated: <10% target
• Detection patterns refined based on real data
• Weekly metrics report created for first month
• Documentation updated with lessons learned

Priority

Medium

Additional Context

Key Metrics to Track:

• Diagnostic accuracy (% correct root cause identification)
• Issue deduplication rate
• False positive rate
• Time to diagnosis (should be <10 min)
• Team satisfaction scores

Duration: 2-3 weeks of monitoring

Depends on: Phase 3 (#34659)

Related: Parent EPIC #34656

Start by reviewing Phase 3 (#34659) and the parent EPIC (#34656) to identify the existing auto-remediation workflow and available metrics. Define how each acceptance criterion will be measured, then validate the dashboard, feedback collection, weekly reports, detection refinements, and lessons-learned documentation during the stated 2–3 week monitoring period.