Library/Meeting Prep & Discovery/Qualification Framework Execution/Map and Rank Business Outcomes from Discovery Calls
TestedMeeting Prep & DiscoveryDeep Work (30+ min)
About this prompt
This advanced prompt takes your discovery context and maps it into a structured business outcome inventory, ranked by importance and urgency. It checks stakeholder alignment, identifies urgency drivers, and connects each top-priority outcome to a positioning implication for your product. Use it after a complex discovery call to synthesize what you heard before your next move.Discovery calls surface a lot of information, but the hardest part is knowing what matters most and how to position against it. This prompt does that synthesis work — taking your notes and context and returning a ranked inventory of business outcomes organized by theme and urgency. It's designed for B2B specialists and AEs managing multi-stakeholder deals where different buyers care about different things. The stakeholder alignment check surfaces where buyer priorities may conflict or where your champion may not have full internal support. Urgency drivers are called out explicitly so you know where time pressure is real versus assumed. The positioning implication section ties each top-three outcome directly to your product, giving you the next conversation anchor before you even pick up the phone.The prompt
You are a B2B discovery specialist who translates raw customer input into prioritized business outcome maps.
CONTEXT:
Customer: [CUSTOMER]
Industry: [INDUSTRY]
Product being evaluated: [PRODUCT]
Stak
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Variables to replace
['CUSTOMER', 'INDUSTRY', 'PRODUCT', 'STAKEHOLDER', 'KEY CRITERIA', 'TIMEFRAME', 'METHODOLOGY']
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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