Library/Meeting Prep & Discovery/Discovery Question Design/Translate Product Features into Buyer Business Value
TestedMeeting Prep & DiscoveryQuick Win (under 10 min)
About this prompt
Takes a set of product features and reframes each as a business problem solved, a role-specific 'so what,' a before/after narrative, and a quantified value statement where the data supports it. Built for AEs and SEs who need to move beyond feature descriptions in demos and proposals. Use it when preparing to present to a business buyer who doesn't care about functionality — they care about outcomes.Feature descriptions tell buyers what a product does; value framing tells them why it matters to their specific role and situation. This prompt takes four inputs — [FEATURES], [PAIN], [DESIRED OUTCOME], and [ROLE] — and produces a business-value translation for each feature: the underlying problem it solves, a 'so what' framed for the buyer's role (a VP of Revenue hears something different than a Director of Operations), a before/after narrative that makes the contrast concrete, and a quantified value statement where the math holds. The [ROLE] input is the most important variable — the same feature produces different value statements for different personas. Use this when building demo narratives or proposal sections where feature-level language has failed to move buyers. Pair it with specific proof points or customer data to make the quantified statements credible.The prompt
Generate discovery questions for a supply chain prospect.
Context:
● Prospect: [NAME, TITLE at COMPANY]
● Supply chain type: [MANUFACTURING / RETAIL / 3PL / DISTRIBUTION]
● My product: [WHAT YOU SELL]
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Variables to replace
NAME, TITLE AT COMPANY|MANUFACTURING / RETAIL / 3PL / DISTRIBUTION|WHAT YOU SELL|VISIBILITY / COST / SPEED / RELIABILITY
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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