Evaluation System
The core of ClientCoach AI is its robust evaluation engine, designed to provide objective, structured, and actionable feedback.
✅ Scoring System
Critical Met
+20 points
Optional Met
+10 points
Red Flag Triggered
–40 points
Final Score Range
0–100 (normalized)
🧩 Evaluation Criteria
Critical Aspects
Must be fulfilled to pass a phase
Examples: clarify goals, ask for use case, confirm need
Optional Aspects
Good to include; boost score
Examples: empathize, mention integrations, provide examples
Red Flags
Must avoid; damage the score
Examples: interrupting, overselling, ignoring objections
🔄 Phase-Based Evaluation
Each conversation is broken into structured phases. The Observer Agent tracks whether you meet the necessary conditions for success in each phase.
On Success → move to next intended phase
On Failure → the customer may show resistance or move toward closure
📈 Feedback Report
After each session, you get:
Phase-by-phase analysis
What was done right and wrong
Missed opportunities
Actionable recommendations for improvement
A score trendline over time
This transparent, educational feedback loop helps agents improve rapidly and consistently.
Last updated