Library/Sales Operations, CRM & Productivity/Performance Improvement & Self-Coaching/Analyze Win/Loss Patterns for Rep Coaching Brief
TestedSales Operations, CRM & ProductivityQuick Win (under 10 min)

Analyze Win/Loss Patterns for Rep Coaching Brief

Turn CRM deal history into a structured coaching brief that identifies win patterns, loss triggers, and two specific

About this prompt

This prompt takes raw CRM notes and deal summaries and produces a concise coaching brief for a sales manager reviewing rep performance. It surfaces patterns in won deals, pinpoints where lost deals stall, and calls out one reinforcement and two coaching priorities. Use it before a 1:1 or pipeline review when you want to move the conversation from data to action.Sales managers often sit on deal data without a clean way to translate it into rep-level coaching before a 1:1. This prompt takes the raw material — CRM notes, deal outcomes, and call summaries — and structures it into a coaching brief under 300 words. You provide [REP NAME OR TEAM] to scope the output and paste CRM notes or deal summaries into the [PASTE CRM NOTES OR DEAL SUMMARIES] field. The prompt returns four sections: win patterns (company size, title, pain point, momentum stage), loss patterns (stall points, unhandled objections, momentum drop-off), two specific coaching recommendations, and one behavior to reinforce. Use this for individual rep reviews rather than team-level pipeline calls — for the latter, prompt 0045 covers team pipeline health across multiple reps. For best results, include at least five closed deals in the data set; a single deal produces thin pattern recognition.

The prompt

Analyze recent lost and won deals for [REP NAME OR TEAM]. Using the CRM data and call notes below, identify: 1. Patterns in deals we win: company size, title, pain point, deal stage where momentum bui
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Variables to replace

REP NAME OR TEAM|PASTE CRM NOTES OR DEAL SUMMARIES

How to run it

  1. Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
  2. Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
  3. Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.

What good output looks like

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StagePipeline Management
SeatSales Manager,AE,Sales Director
DifficultyIntermediate
Time to valueQuick Win (under 10 min)
Works withAI-Agnostic
CategorySales Operations, CRM & Productivity
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