ThinkWithPrompt by SynotticThinkWithPrompt

Keep a deal moving through security and legal review

A plan to anticipate security questionnaires, contract redlines, and procurement steps so late-stage deals close on time.

SalesFew-ShotStandardLegalAnalyzeFill-in Template

The prompt

Help me keep a late-stage deal moving through security, legal, and procurement. Deal and buyer type: [e.g. $80K SaaS deal, regulated financial services company] Target signature date and why: [DATE + BUYER'S REASON] What's been requested so far: [e.g. security questionnaire, SOC 2 report, DPA, MSA redlines, vendor onboarding forms, insurance certificates] Our available materials: [e.g. SOC 2 Type II, pen test summary, standard DPA, trust page] Who handles each review on both sides: [NAMES/ROLES or "unknown"] Any sticking points so far: [e.g. liability cap, data residency, payment terms] Give me: 1. A checklist of typical steps for this buyer type, with realistic durations, and which can run in parallel. 2. A timeline working back from the signature date, flagging where we're already behind. 3. Questions to ask my buyer now to uncover hidden steps (e.g. procurement thresholds, board approval, new vendor setup). 4. A short email to my buyer proposing the parallel plan and asking for introductions to their security and legal contacts. 5. How to escalate internally on our side, and to whom, when a redline is outside my authority. Don't give legal opinions on specific clauses; flag them for our legal team. Note that answers to security questionnaires must come from our security team, not be drafted from assumptions.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • e.g. $80K SaaS deal, regulated financial services company
  • DATE + BUYER'S REASON
  • NAMES/ROLES or "unknown"
  • e.g. liability cap, data residency, payment terms

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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