AI-supported scoring

This document explains AI-supported scoring: the practice of having AI evaluate a sales conversation against a defined framework, then using that output as the starting point for coaching rather than the conclusion.

It's a working template for reps and enablement teams, structured around a reflect-coach-action sequence that separates what the AI flagged from what a human still needs to interpret.

It opens with an example prompt that asks for scores, supporting evidence, and specific next actions across discovery, message clarity, objection handling, buyer engagement, and next-step control, then provides fields for logging the activity, reviewing strengths and weaker areas, recording human judgment, and setting a follow-up date.

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AI-supported scoring

AI-supported scoring Reflect, coach, action. AI-supported scoring can help reps see where they are performing strongly and where they may need to adjust. This document will help guide you through the initial prompt and provide a template for working with your scores. 1. The prompt A good p…

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