AI-Assisted Sales Playbook Creation Workflow

What this workflow produces: A published sales playbook grounded in real performance data including a discovery question sequence, qualification checklist, and objection-handling guidance.

1. Step 1 — Gather raw performance data

   Export: top performer call transcripts, winning proposals, closed-won deal notes, closed-lost deal notes.

2. Step 2 — Run discovery quality analysis

   Upload transcripts to Claude Code. Prompt: "Identify the discovery questions that appear in winning calls but not in losing calls."

3. Step 3 — Run CRM data analysis

   Upload CRM export. Prompt: "Explain why deals stall. Where does qualification break down? Which ICP segments close fastest?"

4. Step 4 — Synthesize playbook frameworks

   Feed both outputs to Claude Code. Prompt: "Synthesize a discovery question sequence, qualification checklist, and objection-handling guidance."

5. Step 5 — Publish and train

   Review, add human context, format for distribution, and run training sessions.