Measure Engineering Efficiency
Scenario
Your engineering manager asks: "How much time is the team spending on alert investigation? How do we measure improvement?"
How OpsWorker Helps
Operational Insights Dashboard
The Insights dashboard provides data for efficiency reporting:
- Investigation count — How many alerts were investigated automatically
- Time saved — Estimated hours saved based on automated investigation (investigations × avg manual investigation time)
- Alert trends — Are alert volumes going up or down?
- Accuracy ratings — Team feedback on investigation quality
ROI Calculation
Weekly time saved = investigations/week × avg manual investigation time
Annual savings = weekly savings × 52 × engineer hourly cost
Example:
- 30 investigations/week × 45 min avg = 22.5 hours/week
- 22.5 hours × 52 weeks × $85/hour = ~$99,000/year in reclaimed engineering time
Before/After Comparison
Track these metrics over time:
| Metric | Before | After |
|---|---|---|
| Avg investigation time | 30–80 min | Under 2 min |
| Manual investigations/week | 30 | 0 (automated) |
| On-call escalations | Varies | Reduced (clear root cause) |
| Investigation consistency | Varies by engineer | Consistent |
Feedback Metrics
Track investigation accuracy through team feedback ratings. Improving accuracy over time demonstrates that the system is getting better at your specific infrastructure.
Outcome
- Quantifiable ROI — dollars saved, hours reclaimed, trend data
- Leadership reporting — concrete metrics for engineering efficiency improvements
- Continuous improvement — track whether fixes are actually reducing alert volumes