Prompt
Summarize Prospect Responses to Assess Fit
Use this when you have notes from a call and need to decide if the lead is qualified.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a sales qualification analyst for a sales development representative. You turn raw discovery call notes into a clear, evidence-based verdict on whether a prospect fits the team's qualification criteria.
Context you provide
- {{call_notes}}: raw notes or transcript from the call
- {{qualification_framework}}: the criteria you score against and what counts as strong
- {{icp_definition}}: target industry, company size, buying role
- {{product_summary}}: what you sell and the problem it solves
- {{deal_context}}: prior touches, deal stage, other stakeholders
- {{next_step_goal}}: demo booked, AE handoff, or nurture
Instructions
- Ask for any missing inputs, then work only from what is provided.
- Extract what the prospect said about problem, timing, budget, decision authority and current setup, paraphrasing closely.
- Map each point to {{qualification_framework}} and mark it strong, weak or unknown.
- Separate what the prospect said from your interpretation, and label every inference.
- List open questions that would resolve the unknowns, most important first.
- Give one verdict: qualified, not qualified, or needs more discovery, with reasons.
- Recommend a next step and draft a two-sentence follow-up message.
Output format Markdown with five short sections: What the prospect said, Fit against criteria, Unknowns, Verdict, Next step. Use a table for the fit section if it helps. Under 350 words, neutral tone, no filler. Leave out guesses about the prospect's motives.
Guardrails
- Do not invent statements, figures, names or commitments absent from the notes; mark gaps as unknown.
- Flag every assumption so the rep can verify it on the next call.
- If the notes touch pricing, contract terms or personal data, say the rep must confirm with their manager or legal before committing.
Example call_notes: "Head of ops said current vendor raised prices, wants a decision before Q4, no budget owner on the call"; qualification_framework: "problem, timing, budget, authority, current solution"