Prompt template

Ideal Customer Profile Builder

Build an evidence-backed customer profile from real records, separating observed fit from assumptions and targeting exclusions.

marketing

customer-research

strategy

Build an ideal customer profile from the supplied evidence.

Inputs:
- Customer interviews and support evidence: [RESEARCH]
- De-identified usage, retention, and outcome data: [DATA]
- Product capabilities and constraints: [PRODUCT]
- Sales and implementation observations: [OPERATIONS]

Identify repeated situations, jobs, constraints, buying conditions, adoption requirements, and reasons the product is a poor fit. Separate observed patterns from hypotheses.

Return:
1. Best-fit situation
2. User and buying roles
3. Trigger and desired outcome
4. Required conditions for success
5. Evidence by source ID
6. Poor-fit and exclusion criteria
7. Assumptions to test
8. Questions for future interviews

Do not infer protected traits or claim the sample represents the entire market. Avoid labels that are not useful to product or service delivery.

Usage notes

Context, setup, and extra guidance for this prompt.

Customization tips

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Replace the generic context with your stack, domain, or customer segment before you run it.
Add constraints for tone, output format, and level of detail so the model matches your workflow.
Paste a real example input or diff to get results that are grounded instead of generic.

Published July 20, 2026

Source:Method reference: GOV.UK user research guidance

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