Run a deal-by-deal pipeline review with a sales rep
A focused pipeline review agenda with the right questions per stage, so the meeting coaches deals instead of just reading CRM.
The prompt
Help me prepare a pipeline review meeting with one of my reps.
Rep and segment: [DETAILS]
Meeting length: [e.g. 45 minutes]
Rep's quota, closed to date, and forecast call: [NUMBERS]
Open pipeline: [paste deals: account, amount, stage, close date, next step, last activity date, days in stage]
Our stage definitions or exit criteria: [paste, or "use common B2B stages"]
What I'm worried about: [e.g. coverage, slipping dates, stale deals, one big deal]
Prepare:
1. A triage of the pipeline: which deals to discuss (largest, closing this period, stuck longest, missing next steps) and which to skip.
2. For each selected deal, 2-3 questions matched to its stage. Early-stage: is the pain real and quantified? Late-stage: who signs, what's the paper process, what could stop it? Avoid yes/no questions.
3. Hygiene issues to fix after the meeting: past close dates, no next step, stage that doesn't match evidence.
4. A coverage check: pipeline for this period and next vs what the rep needs.
Return:
- A timed agenda.
- A table: Deal | Why discuss | Questions | What a good answer sounds like.
- A hygiene list for the rep to clean up, with a deadline.
- A short follow-up note template summarizing agreed actions and dates.
Keep it coaching, not interrogation: the goal is better deals and a more accurate forecast. Use only the deal data I provide; mark missing fields [CONFIRM] rather than guessing.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Meetings prompts
What to fill in
- DETAILS
- e.g. 45 minutes
- NUMBERS
- paste, or "use common B2B stages"
- e.g. coverage, slipping dates, stale deals, one big deal
- CONFIRM
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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