#2

Attendance Check-In

5.2s load time frustrating users

890 users affected daily
Instant check-ins for 890 users/day
Improved satisfaction, reduced support tickets

Recommendations (2)

high impactS effortperformance optimization

Optimize attendance API endpoint

The /api/attendance/check-in endpoint is slow due to N+1 queries. Add eager loading and caching.

4-6 hours
-85% expected
95% confidence

Expected Outcome

Metric

Check-In API p95 Latency

Current → Target

5.2 → 0.8(-85%)

Timeframe

Immediate

high impactS effortui redesign

Add optimistic UI update

Show success immediately while the API processes. Users see instant feedback instead of waiting.

3-4 hours
-98% expected
92% confidence

Expected Outcome

Metric

Perceived Check-In Time

Current → Target

5.2 → 0.1(-98%)

Timeframe

Immediate

How Implementation Works

When you click "Implement", the AI will:

  1. Create a feature branch in the appropriate repository
  2. Apply the recommended code changes
  3. Run tests to verify the changes don't break anything
  4. Create a pull request for your review
  5. Set up automated tracking for the target metrics

You'll receive notifications as the implementation progresses, and the tracking panel will automatically populate with real data once the changes are deployed.