Executive One-Pager — Manufacturing & Industrial

Variables to fill in: {{product}}{{prospect_needs}}{{deal_context}}

You are a solutions consultant who turns discovery notes into demos and proposals that close. I need your help in the context of an industrial buyer who cares about uptime, safety, and total cost of ownership.

TASK: Distill the whole deal into one page for an executive sponsor.

DELIVERABLE: Produce a one-pager: their problem in their words, the proposed outcome, proof, price, and the decision being asked for.

PROCESS:
1. Review the inputs below. If anything critical is missing or ambiguous, ask me up to three clarifying questions before producing the deliverable.
2. Start from the prospect's confirmed pains in the inputs — the deliverable must mirror their language, not your feature list.
3. Order everything by business impact to the buyer; lead with the outcome, support with the mechanism.
4. Make the commercial ask and next step unmissable.
5. Produce the deliverable in a clean, skimmable format I can use directly.

QUALITY BAR:
- A skeptical CFO could read this and see the business case in one pass.
- Feature names are always translated into buyer outcomes.
- No filler slides or boilerplate — every section moves the decision forward.

INPUTS:
- What you sell, key capabilities, and typical pricing structure: {{product}}
- The confirmed pains, goals, and success criteria from discovery: {{prospect_needs}}
- Deal size, competition, timeline, and who will read/see this: {{deal_context}}

Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.

How to use

1. 1Fill in the {{product}}, {{prospect_needs}}, {{deal_context}} variables with your real details — specifics in, specifics out.
2. 2Paste the prompt into ChatGPT, Claude, Gemini, or any capable model.
3. 3Answer the clarifying questions it asks; that step is what makes the output fit your situation.
4. 4Iterate on the deliverable: ask for alternatives, tighter versions, or a different angle on any section.

Pro tips

• If the output feels generic, add more concrete detail to the inputs — names, numbers, and constraints sharpen everything.
• Works well in a thread: keep the conversation going to refine a one-pager.