Library/Meeting Prep & Discovery/Discovery Question Design/Generate Multi-Dimensional Pain Discovery Questions
TestedMeeting Prep & DiscoveryQuick Win (under 10 min)
About this prompt
This prompt creates five discovery questions targeting different dimensions of business pain — financial cost, operational stress, competitive disadvantage, career risk, and strategic impact — designed to build a multi-dimensional business case in a single discovery conversation. Use it when your discovery produces symptom descriptions but not a compelling 'why now' and 'why this matters' argument.Single-dimension discovery misses the full pain picture — a rep who only probes financial impact misses the organizational stress and career-risk dimensions that often motivate faster decisions than the ROI case alone. This prompt generates one question for each of five pain dimensions, calibrated to the specific buyer role and solution area you provide. Each question is designed to open a new dimension rather than duplicate coverage of one you've already explored. After five questions, the rep has the raw material for a business case that speaks to budget, operations, competitive positioning, stakeholder politics, and strategic importance simultaneously. Fill in the buyer's job title and your solution area for questions calibrated to the specific discovery context. Use these as a second-pass discovery layer after the initial situation questions have established context.The prompt
During discovery with [JOB TITLE], I want to explore pain across all five dimensions to build a complete business case. Generate one question for each dimension:
1. FINANCIAL PAIN: The direct cost of
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Variables to replace
JOB TITLE|YOUR SOLUTION AREA|BUYER PERSONA
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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