The rubric that changes it is built from your own closed-won calls, scored weekly, and coached on variance. Here's how we run it on our own team.
Call-by-call performance scoring.
Every call scored against your playbook, with direct transcript quotes as the evidence rather than a manager's recollection of a call they half-heard.
- Scorecard per callScored against your playbook, with the evidence from the call attached.
- Trend per repEvery call over time, so improvement is visible rather than asserted.
- Against the team and the topEach rep is compared to the average and to the people already doing it well.
Patterns from your best deals.
Intempt analyzes your closed-won calls and surfaces what recurs: talk tracks, objection handling, discovery questions, deal velocity. Those patterns become your coaching library.
- Win patterns from your callsThe library is built from deals you actually won, not a generic framework.
- Questions that surface budgetThe discovery questions that get to budget and timeline, taken from real calls.
- Objection handling from your bestLifted from what top performers actually said, not from a script.
Coaching specific to each rep.
Every rep gets a focus based on their own patterns, with clips from their own calls as the examples. Not a generic module assigned to the whole team.
- Priorities per repEach rep's coaching list comes from their own call history.
- Clip librarySorted by behaviour and by playbook step, so a clip is findable.
- Ramp trackingNew hires tracked against milestone targets rather than gut feel.
What AI sales coaching costs (2026)
| Tool | Price | Shape |
|---|---|---|
| Second Nature | ~$30-40/seat/mo, ~$20K annual minimum | 3D-avatar roleplay, enterprise, ~2-month rollout |
| Hyperbound | Free tier, paid on demo | Audio-first, fast bot builder, scores real calls |
| Quantified | Custom contracts | Regulated industries, compliance scoring |
| Gong | ~$130K/yr for 50 reps | Practice features added, post-call analytics at heart |
The pure-play roleplay tools train reps against synthetic scenarios. That is genuinely useful for onboarding scripts and certification. What it does not do is tell a rep what they specifically got wrong on a real deal last Tuesday.
The scoring on the call flows into the scoring on the deal. Every conversation Intempt tags feeds the-deal-gauge, a Blu skill that reads deal health and buyer intent from the same signals the coaching layer just scored. And for the follow-up email the coaching moment usually points to, the AI sales email generator drafts the exact response, product-anchored, ready to send.
Sources: Federico Presicci AI sales roleplay review 2026 · SecondBody AI sales training comparison · Hyperbound vs Second Nature comparison.
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