Don't guess if your AI agent is working — measure it. Track 5 key metrics: task completion rate, accuracy, cost per task, user satisfaction, and time saved. Here's how to build your AI dashboard.
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Get Free Analysis → No signup required • Results in 30 secondsThe 5 Metrics That Matter
| Metric | What to Measure | Target |
|---|---|---|
| Task completion rate | % of tasks the AI completes without human intervention | 70%+ |
| Accuracy | % of AI outputs that are correct (audit sample weekly) | 90%+ |
| Cost per task | Total AI cost ÷ number of tasks completed | Decreasing trend |
| User satisfaction | CSAT or thumbs up/down from end users | 85%+ |
| Time saved | Hours saved vs manual process | 50%+ of manual time |
How to Track Each Metric
- Task completion rate: Log every task. Mark as 'completed by AI', 'completed with human help', or 'escalated to human'. Calculate weekly.
- Accuracy: Sample 50 AI outputs per week. Human reviews for correctness. Track error rate by category.
- Cost per task: API costs ÷ tasks completed. Track monthly. Should decrease as you optimize.
- User satisfaction: Add thumbs up/down or 1-5 rating after each AI interaction. Track weekly average.
- Time saved: Measure time for manual task before AI. Compare to time with AI (including review). Track monthly.
Warning Signs
| Red Flag | What It Means | Action |
|---|---|---|
| Completion rate < 50% | AI can't handle the task complexity | Simplify task or upgrade model |
| Accuracy < 80% | AI is making too many errors | Improve prompts, add examples, or use better model |
| Cost per task increasing | Context bloat or retry loops | Trim context, add caching, route to cheaper model |
| CSAT < 70% | Users aren't happy with AI quality | Survey users, identify specific issues, retrain or adjust |
| Escalation rate > 50% | AI isn't resolving enough | Review escalation reasons, expand AI capabilities |
| Time saved < 20% | AI isn't worth the effort | Re-evaluate use case or implementation |
Monthly AI Review Template
- Volume: How many tasks did AI handle this month? Trend?
- Quality: Accuracy rate this month vs last month
- Cost: Total spend, cost per task, trend
- Satisfaction: CSAT score, user feedback themes
- Time saved: Estimated hours saved, dollar value
- Errors: Top 3 error categories, action plan for each
- Next steps: What to improve next month
If all 5 metrics are trending in the right direction, your AI is working. If any are flat or declining, dig in and fix it.
5
Metrics to track
70%+
Completion rate target
90%+
Accuracy target
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