Generate discovery questions calibrated to persona seniority
A VP and a manager need different questions. This prompt builds the question set keyed to seniority and BANT axis.
Generate a discovery question set for this product: {{PRODUCT_CONTEXT}}
Persona: {{PERSONA_TITLE}} at a {{COMPANY_SIZE}} company in {{INDUSTRY}}.
Produce 12 questions, 3 per BANT axis (Budget, Authority, Need, Timeline). For each question:
- Question wording
- What you're listening for in the answer
- A follow-up that probes deeper if the answer is shallow
Calibrate phrasing to the persona's seniority — IC questions are tactical, exec questions are strategic. Avoid yes/no questions. No leading questions. {{PRODUCT_CONTEXT}}{{PERSONA_TITLE}}{{COMPANY_SIZE}}{{INDUSTRY}}
How to use this prompt
- Copy the prompt above (Copy button on the top-right).
- Replace each
{{VAR}}with your own value. Variables:{{PRODUCT_CONTEXT}}{{PERSONA_TITLE}}{{COMPANY_SIZE}}{{INDUSTRY}}. - Paste it into one of the recommended tools below.
- Iterate: tighten constraints in the prompt if the output is generic.
Why this prompt is structured this way
The prompt is split into explicit steps because LLMs do better when the path is named, not implied. Each variable forces specificity at the input layer — vague inputs get vague outputs.
Pair this prompt with a tool
Jasper
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Copy.ai
$49/moSales + marketing workflows you can chain together.
Copy.ai pivoted hard into 'workflows' — chainable prompts that combine research, drafting, and personalization. Better than Jasper for outbound sales sequences.
Claude (Anthropic)
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Claude (Opus / Sonnet / Haiku tiers) is the assistant favored by writers and engineers who care about reasoning quality and tone. 1M token context on Opus.
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