Library/Meeting Prep & Discovery/Discovery Call Execution/Write a Hypothesis-Led Discovery Call Opener
TestedMeeting Prep & DiscoveryQuick Win (under 10 min)
About this prompt
This prompt creates a hypothesis-led opening move for a discovery call — rather than starting with open questions, the rep states a specific belief about the prospect's situation and asks them to react. It signals preparation, saves time, and quickly gets to the substance of whether your solution is relevant. Use it for experienced AEs who want to differentiate from the standard 'tell me about your challenges' opener.Starting a discovery call with a stated hypothesis rather than a generic open question demonstrates that you've done the research and have a perspective — which immediately positions you as a peer rather than a vendor seeking information. This prompt generates a hypothesis calibrated to the buyer's company type and title, an invitation for them to confirm or correct it, and a transition into deeper discovery once they've engaged with the opening. The hypothesis should be specific enough to be interesting but not so narrow that it alienates buyers whose situation differs slightly. Fill in the job title, company type, and the specific hypothesis you want to test. Use this alongside traditional discovery frameworks — the hypothesis opener replaces the first two minutes of context-setting, not the full discovery structure.The prompt
Build a hypothesis-led discovery call opener for [JOB TITLE] at [COMPANY TYPE]. Instead of starting with open questions, state a hypothesis about their situation and ask them to confirm or correct it.
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Variables to replace
JOB TITLE|COMPANY TYPE|SIMILAR COMPANIES|SPECIFIC HYPOTHESIS ABOUT THEIR SITUATION|YOUR ICP|DESCRIBE
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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