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Advisor Call QA Coach

Score a real service-advisor phone call against a 5-dimension rubric, identify the moment-of-inflection turn that decided the outcome, surface missed upsells and weak objection handling, and produce a one-thing-to-rehearse-next-time coaching note the manager can use in a 1:1. Input is a call transcript (and optional metadata like booked / not-booked, RO total, advisor name); output is a rubric score with quote anchors, a missed-opportunities list, a customer-sentiment read, and a single coaching focus. Different from `service-advisor-roleplay-coach.md` (which rehearses a hypothetical against an AI customer before the call) and from `service-advisor-script.md` (which produces the live script the advisor reads off of). This is the after-the-fact audit layer — looking at what actually happened on a real call, with consent, to make the next call better.

Saves ~15 min/call audit + measurable advisor liftintermediate Claude · ChatGPT · Gemini

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