Library/Meeting Prep & Discovery/Discovery Question Design/Generate Implication Iceberg Discovery Questions
TestedMeeting Prep & DiscoveryQuick Win (under 10 min)
About this prompt
This prompt creates a set of 'implication iceberg' discovery questions that go deeper than typical surface-level pain exploration — surfacing the financial, organizational, strategic, and career-risk implications of the problem being discussed. Use it when discovery stops at symptom identification and never gets to why the problem has to be solved now.Most implication questions in discovery are one level deep — 'what happens if this continues?' — but the most effective ones get below the waterline to the four or five downstream consequences that make the problem genuinely urgent. This prompt generates implication questions structured around five pain dimensions: financial cost, organizational stress, competitive disadvantage, career and political risk, and strategic impact. Each question goes one level deeper than the obvious follow-up to surface the full implication cascade. Fill in your solution area and the three or four core pain points your ICP commonly experiences for questions calibrated to the situations you actually encounter. Use these questions in mid-discovery after you've established the surface-level problem — jumping to implication too early feels presumptuous.The prompt
Generate a set of 'implication iceberg' questions for [YOUR SOLUTION AREA]. Most reps ask surface-level implication questions — these go deeper, below the waterline.
For each of these pain areas, wri
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Variables to replace
YOUR SOLUTION AREA|PAIN AREA 1 RELEVANT TO YOUR SOLUTION|PAIN AREA 2|PAIN AREA 3|TASK
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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