Library/Negotiation, Procurement & Closing/Contract Finalization & Close/Build an Options Close for Late-Stage Deals
TestedNegotiation, Procurement & ClosingQuick Win (under 10 min)
About this prompt
This prompt creates an options-based close structure for late-stage deals — presenting the prospect with three paths forward that differ in scope, speed, or commercial terms — so the conversation shifts from 'yes or no' to 'which one.' It's designed for situations where the prospect has accepted the value but is stalling on commitment. Use it when a deal is stuck at the verbal-yes stage.Binary yes/no closes generate resistance because they put pressure on a single decision point — the options close removes that pressure by giving the prospect three paths that all represent forward movement. This prompt generates three options calibrated to the specific deal: Option A is the full recommended scope, Option B is a reduced scope or phased start, and Option C is a pilot or proof-of-concept with defined expansion criteria. Each option has a brief summary of scope, commercial level, and implementation timeline. Fill in the deal context, the prospect's primary concern (budget, risk, timeline), and your commercial flexibility for options that represent real choices rather than artificial anchoring. Use this structure in the meeting itself, not as an email — the conversation dynamic is what makes it work.The prompt
For the upcoming close conversation with [PROSPECT], build an 'options close' strategy — present 2-3 paths forward so they feel in control rather than pressured.
Create 3 options with different scope
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Variables to replace
PROSPECT|SCOPE AND PRICE|WHAT YOU CAN/CANNOT MOVE ON
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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