For managers running coaching 1:1s

You’re flying blind in every 1:1.

Your managers spend 45 minutes prepping for coaching sessions they’re going to wing anyway. They don’t actually know if Jordan is improving or just having good days. Coaching Intelligence reads every scored session and tells the manager what to coach, on whom, and how to phrase it.

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✓ 100 free QA minutes ✓ 5 free role plays ✓ First insight in your first week
The Problem It Solves

Individual Reports Show What Happened. Coaching Intelligence Shows Why.

One bad session is an outlier. Five sessions with the same low criterion, across multiple employees, is a training gap — and you need to know about it before it costs you customers.

Finds which rubric criteria your whole team is consistently failing — not just one employee on one call
Flags individual agents below 65% overall with a priority rating so you know who needs help first
Generates targeted scenario and rubric suggestions — create them with one click, no writing required
Analyzes role-play sessions and real uploaded audio recordings together for the fullest picture
How it works — 3 steps
1
Select a rubric with 3+ scored sessions. The system pulls all history automatically — role-play and audio, merged.
2
Click Analyze. AI calculates per-criterion averages, detects trends, and identifies at-risk employees. Takes 30–60 seconds.
3
Act on the report. Create new training from AI suggestions with one click. Run again in 3–4 weeks to confirm improvement.
Minimum 3 scored sessions to unlock. Works with role-play AND uploaded audio recordings.
Sample Report: De-escalation & Policy Adherence Rubric  ·  14 sessions analyzed  ·  6 employees  ·  Data: Mar 1 – Apr 21, 2026

Executive Summary: Your team scores strong on empathy (avg 87%) but two criteria are dragging down overall results: Resolution Offer (avg 61%) and Policy Adherence (avg 63%) — both declining over 30 days. Two agents are below the 65% threshold. Recommend creating a targeted resolution scenario and running a policy refresher before end of month. Re-analyze in 3–4 weeks.

Resolution Offer
61% avg↓ Declining

Agents offer generic resolutions (discounts) when customers have stated a specific ask (refunds). Mismatch triggers escalation on nearly half of analyzed calls.

Active listening for the explicit customer request before defaulting to a scripted offer — especially when stated in the first 60 seconds.

Suggested Scenario“Frustrated Returning Customer — Stated Refund Request.” Customer explicitly states their need in the opening line. Agent must listen, confirm, and match exactly — no script defaults. Persona: impatient, detail-oriented.
Policy Adherence
63% avg↓ Declining

Agents concede to customer demands without following the 3-step protocol. Pronounced under high-pressure personas — they’re caving to avoid conflict.

Policy language under pressure. Scripts for holding the line while staying empathetic — the key tension most agents haven’t mastered.

Suggested Rubric Criterion“Escalation Protocol” weighted 20% — scores whether the agent correctly declined escalation before completing the 3 de-escalation steps. Your current rubric doesn’t measure this.
Closing & Follow-Up
71% avg→ Stable

Calls are ending without confirming next steps or checking for other account issues. The closure feels abrupt on 5 of 14 sessions.

A 3-sentence closing script: summarize resolution, confirm timeline, offer final check-in. Practice until automatic.

Employees with an overall average below 65%. Flagged for priority coaching.

EmployeeAvg ScoreSessionsLowest CriterionPriorityAI Note
DK
David Kim
4 sessions
 54% 4 Policy Adherence 38% HIGH
Conceding to customers on every call before exhausting de-escalation. Needs a one-on-one coaching session using the policy scenario this week — do not delay.
PM
Priya Mendez
3 sessions
 61% 3 Resolution Offer 44% HIGH
Empathy is strong (89%) but resolution offers consistently miss the customer’s stated need. Targeted scenario practice should move scores quickly.
RL
Riley Lopez
2 sessions
 66% 2 Closing & Follow-Up 51% MEDIUM
Only 2 sessions — more data needed. Assign 2 more and re-analyze before committing to a coaching plan.
14
Sessions
74%
Team Avg
3
Flagged
6
Employees
51d
Data Window
2
Strong Areas

Team Strengths

Empathy & Acknowledgment avg 87% — strong across all agents and call types
Active Listening avg 84% — agents let customers fully explain before responding
Tone and professionalism held under high-pressure personas
Call opening and account verification correct on 12 of 14 sessions

Recommended Actions

1
Coach David Kim this week on escalation protocol. Below threshold — do not wait.
2
Create the “Stated Refund Request” scenario and assign to the full team as a sprint.
3
Add “Escalation Protocol” criterion to rubric before the next analysis cycle.
4
Re-run analysis in 3–4 weeks. If Resolution Offer doesn’t hit 75%+, escalate to performance plans.
Why It Changes Everything

Training Gut-Feel Is Dead. Now You Have Proof.

Stop deciding what to train based on which complaint was loudest this week. Let the data lead.

Pattern Over Outlier

One bad session is noise. Five sessions with the same low criterion is a real gap. Coaching Intelligence finds it automatically across every agent.

Training Created for You

AI identifies the gap and writes the scenario or rubric suggestion. You click once to create it. No writing. No guessing. No wasted sessions.

All Your Data, Together

Role-play sessions and uploaded real call recordings are analyzed together. Every scored interaction feeds the intelligence engine.

Your Next Coaching Session Should Start Here.

Unlocks after just 3 scored sessions. Start free — no card required.

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