Library/Meeting Prep & Discovery/Post-Call Synthesis & CRM Update/Extract and Log All Commitments from a Call Transcript
TestedMeeting Prep & DiscoveryQuick Win (under 10 min)
About this prompt
This prompt scans a sales call transcript and extracts every commitment — from both the rep and the prospect — with the who, what, timeline, and confirmation status for each. It then flags which items you need to deliver before the next call and which prospect commitments need follow-up. Use it immediately after any discovery or evaluation call where next steps were discussed but not formally documented.Missed commitments are one of the most common ways deals lose momentum after a good call. This prompt takes a raw call transcript and returns a structured list of every commitment made, sorted by who made it, what was agreed, whether a timeline was stated, and whether it was confirmed bilaterally or just mentioned once. It flags your own deliverables, prospect commitments that need follow-up, and ambiguous items that require clarification before the next call. Paste the full transcript into the [PASTE] field — the more complete the transcript, the more thorough the extraction. The output is formatted for CRM logging and can feed directly into a follow-up email. This prompt is most useful for AEs and SDRs running multi-stakeholder calls where several people made mentions that didn't get formalized as next steps. It's a post-call tool, not a prep tool — use it within 30 minutes of the call while context is fresh.The prompt
Review this sales call transcript and extract every commitment made — by both me AND the prospect. For each commitment:
1. Who made it (rep or prospect)
2. What was promised or agreed
3. Timeline (if
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Variables to replace
PASTE
How to run it
- Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
- Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
- 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
Make it yours
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