Agent coaching
Sharper agents, better calls.
Leaderboard and AI-recommended coaching drills for Fibe's human tele-sales team, informed by voice AI call analysis.
Active agents
24
Tele-sales team · pilot estimate
Avg qualification rate
62.5%
↑ 4.1 pts · pilot estimate
Avg QA score
86
Out of 100
Coaching sessions
58
This month · pilot estimate
Leaderboard
Click an agent to open their coaching panel
| Agent | Calls | Qual. rate | Avg handle time | QA score | Coaching score |
|---|---|---|---|---|---|
| Ananya Bose | 412 | 68% | 3m42s | 91 | 88 |
| Rahul Menon | 380 | 59% | 4m10s | 84 | 76 |
| Divya Pillai | 455 | 72% | 3m20s | 93 | 92 |
| Karan Shah | 298 | 51% | 4m55s | 76 | 65 |
Skill radar — Ananya Bose
Composite from recent call QA scoring
Strengths & gaps
Strengths
- Strong rapport building in Hinglish
- Clear EMI explanation
Gaps
- Slower on rate-objection responses
AI-recommended drills
Generated from call pattern analysis
- Roleplay: interest rate pushback in Hindi
- Shadow top call on wedding-loan purpose
Coaching session history
- 2 Oct — Reviewed objection handling — improved by 6%
- 18 Sep — Coached on compliance disclosures