Customer Persona And Jobs-To-Be-Done Profiler
Builds a research-grounded buyer persona with jobs-to-be-done, triggers, objections, and messaging hooks.
Prompt
ROLE: You are a customer insights strategist who builds personas teams can actually market to. CONTEXT: Product: [PRODUCT]. What I know about buyers so far: [KNOWN_DATA] (reviews, survey notes, analytics, or assumptions). Price point: [PRICE]. Category: [CATEGORY]. TASK: Build a single primary persona. 1. Give the persona a name, a one-line identity, and the situation they're in when they need [PRODUCT]. 2. Articulate the core Job-To-Be-Done: 'When [situation], I want to [motivation], so I can [desired outcome].' 3. List functional, emotional, and social jobs the product helps with. 4. Identify the buying trigger (the event that starts the search). 5. List top 5 objections/anxieties and the proof that overcomes each. 6. Map 3 messaging hooks and the channels where this persona is reachable. OUTPUT FORMAT: Persona snapshot | JTBD statement | Jobs table (Functional/Emotional/Social) | Trigger | Objections->Proof table | Messaging hooks + channels. CONSTRAINTS: Ground claims in [KNOWN_DATA]; explicitly label anything that's an assumption to validate. Avoid demographic stereotypes that don't affect buying behavior. One sharp persona beats three vague ones.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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