Coaching studio
Aiera scores every human and AI conversation, then turns the gaps into weekly drills for the floor.
Team quality score
Rolling 4 weeks
Calls reviewed
100% coverage, no sampling
Objection win rate
After drill rollout
Ramp time
New joiner to target
Rep scorecards
Sorted by quality score
| Rep | Calls | Score | Talk ratio | Objection win | Conversion | Coach on |
|---|---|---|---|---|---|---|
| Priya Joshi | 165 | 89 | 42% | 48% | 19% | Capex |
| Priya Rao | 160 | 86 | 40% | 44% | 16% | Opex per KL |
| Sanjay Joshi | 190 | 86 | 48% | 80% | 8% | Footprint |
| Arjun Patel | 70 | 80 | 52% | 58% | 16% | Capex |
| Sneha Joshi | 145 | 75 | 56% | 56% | 21% | Reference sites |
| Karthik Khan | 170 | 72 | 62% | 88% | 10% | Opex per KL |
| Rohit Gupta | 80 | 70 | 60% | 54% | 26% | Pollution-board timeline |
| Imran Nair | 165 | 69 | 60% | 84% | 29% | Footprint |
Skill matrix
Team average adherence
- Discovery depth72%
- Objection handling64%
- Proof points used58%
- Next step booked81%
- Compliance script91%
Lowest adherence is proof-point usage — the drill below targets it directly.
This week's drills
Auto-generated from lost conversations
Drill 1: Pricing response
89 impactConversations mentioning "capex" convert 37% lower unless the agent responds with a proof point in the first 40 seconds.
Practice set: 212 calls analysed this month
Drill 2: Trust response
78 impactConversations mentioning "opex per kl" convert 18% lower unless the agent responds with a proof point in the first 40 seconds.
Practice set: 313 calls analysed this month
Drill 3: Product fit response
67 impactConversations mentioning "footprint" convert 23% lower unless the agent responds with a proof point in the first 40 seconds.
Practice set: 288 calls analysed this month
Drill 4: Speed response
93 impactConversations mentioning "pollution-board timeline" convert 35% lower unless the agent responds with a proof point in the first 40 seconds.
Practice set: 170 calls analysed this month
Best-in-class moments
Clipped for the playbook
Aiera Support · Tender clarification
Rohit Kulkarni from Gujarat asked about ETP — tender clarification. Agent handled opex per kl and captured requirement details.
Score 52 · Gujarati
Aiera Voice · Opex per KL
Rahul Gupta from Tamil Nadu asked about ETP — opex per kl. Agent handled opex per kl and captured requirement details.
Score 54 · English
Aiera Support · Opex per KL
Neha Menon from Maharashtra asked about STP — opex per kl. Agent handled capex and captured requirement details.
Score 46 · Tamil
Aiera Followup · AMC renewal
Pooja Patel from Tamil Nadu asked about Membrane upgrade — amc renewal. Agent handled reference sites and captured requirement details.
Score 54 · Gujarati
Aiera Voice · Tender clarification
Rahul Gupta from Tamil Nadu asked about ETP — tender clarification. Agent handled pollution-board timeline and captured requirement details.
Score 46 · English