Help me create an evidence-led customer persona for a specific buying segment. Inputs - Offer and category: [OFFER] - Segment to model: [TARGET SEGMENT] - Research evidence: [RESEARCH EVIDENCE] - Buying context and alternatives: [BUYING CONTEXT]
- Business goal for this persona: [DECISION TO SUPPORT] - Known limits or exclusions: [LIMITS AND EXCLUSIONS] Ask up to 3 clarifying questions only if a required input is missing. Treat this as a working hypothesis, not a portrait of every customer. Do not invent demographics, quotes, motivations, budgets, pain points, purchase behavior, or survey findings. Clearly label any reasonable inference that goes beyond the evidence. Produce a persona model with these sections: segment definition and inclusion/exclusion rules; evidence summary; situation and job to be done; desired outcomes and success measures; current workaround and alternatives; barriers, objections, risks, and buying committee roles; triggers that create urgency; evaluation criteria and decision process; information sources and language actually used in the research; and messaging implications for acquisition, sales, onboarding, and retention. Include a “what we do not know” section with the highest-value research questions and the method best suited to each, such as interview, win/loss review, support-ticket analysis, or behavioral data. End with a one-page activation brief containing a message hierarchy, proof needed for each claim, recommended call to action, and claims to avoid. Self-check before answering: tag each important point as evidence, inference, or unknown; verify the persona describes a segment with a shared context rather than an invented fictional individual.
Fill in
| Placeholder | What to enter | Example |
|---|---|---|
| [OFFER] | Describe the product or service, price model if relevant, and the problem it aims to solve. | Subscription software that helps independent dental practices reduce missed appointments through text reminders and online rescheduling. |
| [TARGET SEGMENT] | Define the customer group by role, situation, behavior, or need rather than only broad demographics. | Practice managers at 1-3 location dental offices with frequent front-desk call volume and no dedicated marketing staff. |
| [RESEARCH EVIDENCE] | Paste interview notes, survey findings, sales calls, reviews, support themes, or behavioral data with source context. | Eight discovery calls: managers cited no-shows, manual reminder calls, and difficulty filling cancellations; three said dentists approve purchases under $500/month. |
| [BUYING CONTEXT] | Describe what prompts purchase, available alternatives, stakeholders, and typical purchase path. | They compare their practice-management system's reminder feature, a local marketing agency, and doing it manually; owner dentists often approve the spend. |
| [DECISION TO SUPPORT] | State how you will use the persona, such as a landing page, campaign, product roadmap, or sales enablement. | Create a landing page and sales discovery guide for the first paid campaign. |
| [LIMITS AND EXCLUSIONS] | List known gaps, segments not included, and facts that should not be assumed. | No evidence yet from multi-location groups or orthodontic practices; do not assume HIPAA compliance without legal review. |
How to use
- Paste raw evidence with enough context to distinguish a direct statement from your interpretation.
- Choose a segment defined by a shared buying situation, not a fictional name, age, and stock-photo biography.
- Use the unknowns section to plan research before treating the model as a campaign fact base.
- Follow up with: “Turn the activation brief into a landing-page message map with only evidence-supported claims.”
Variations
Jobs To Be Done
Use when you need to understand the progress a customer is trying to make.
Analyze the job to be done for [TARGET SEGMENT] considering [SITUATION], [CURRENT WORKAROUND], [RESEARCH NOTES], [OFFER], and [DECISION USE]. Produce functional, emotional, and social job statements; forces of progress; desired outcomes; switching triggers; anxieties; habits; and interview questions to validate gaps. Label every point as evidence, inference, or unknown. Do not invent customer quotes or motivations. Ask up to 3 clarifying questions only if required inputs are missing.
Buyer Committee
Use when several roles influence a B2B purchase.
Map the buying committee for [OFFER] in [ACCOUNT TYPE] using [RESEARCH EVIDENCE], [PURCHASE PROCESS], and [GO-TO-MARKET GOAL]. Identify economic buyer, champion, users, technical or security reviewers, blockers, and procurement roles only when evidence supports them. For each, provide priorities, likely objections, proof required, and useful questions. Separate known facts from hypotheses and list validation work. Ask up to 3 questions only if essential inputs are absent.
Interview Guide
Use when your persona is too assumption-heavy and you need primary research.
Create a 30-minute customer-discovery interview guide for [TARGET SEGMENT] about [PROBLEM AREA], informed by [CURRENT HYPOTHESES] and [OFFER]. Write an opening, consent and recording language, chronological questions about past behavior, probes for alternatives and decision criteria, and a closing request. Avoid leading questions, feature pitches, and asking what people would hypothetically buy. Include a coding framework for notes. Ask up to 3 questions only if required details are missing.
Tips
- Build personas around a recurring situation and decision process, because role titles and demographics rarely predict buying behavior well enough.
- Keep raw interview language beside the synthesized model; it prevents polished messaging from drifting away from how customers actually describe the problem.
- Do not treat sales objections as mere copy problems: some reveal missing product capability, procurement friction, or an unsuitable segment.
- Refresh the model after meaningful changes in price, product maturity, or distribution, since these alter who can buy and why.
FAQ
Is a customer persona the same as an ideal customer profile?
No. An ideal customer profile identifies the kinds of accounts most likely to fit; a persona explains the people, context, and decision dynamics within or around those accounts.
How much research do I need before making a persona?
Use the evidence you have, label gaps, and validate the highest-risk assumptions. A small set of relevant interviews is more useful than unsupported demographic detail.
Can AI create a persona without research?
It can generate hypotheses, but not a trustworthy persona. Supply real calls, reviews, support data, or observed behavior and keep unsupported points clearly marked.