Goal: Create 3 research-backed user personas from empirical data, incorporating jobs-to-be-done, pain points, gains, and behavioral insights to inform product strategy.Documentation Index
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Tools Required
This skill runs using CORE memory only. No integrations required.Step 1: Gather Research Data
Ask the user to provide or describe:- Customer interviews (or summaries)
- Surveys or user research
- Analytics data or usage patterns
- Feedback or support tickets
- Any existing user segmentation
“What research do you have about your users? Interviews, surveys, usage data?”If they have none, ask: “Can you describe 3-5 customers you know well?” and work from those stories.
Step 2: Identify User Patterns
Review the data and look for:- Recurring motivations or goals (Jobs to Be Done)
- Common pain points
- Shared use cases or workflows
- Behavioral similarities
- Demographic clusters
Step 3: Develop Three Personas
For each distinct user segment, create a persona with: Demographics:- Name, role, company/context
- Seniority, experience level
- Goals and priorities
- Primary task or goal they’re trying to accomplish (1-2 sentences)
- 3 main frustrations or challenges
- Current workarounds
- 3 outcomes they want to achieve
- Improvements they’d value
- 1 surprising behavior, preference, or assumption that contradicts stereotypes
- Must be grounded in research data
- How well this product/solution fits their needs
- Likelihood to adopt
Step 4: Ground Everything in Data
For each insight, verify:- Is this supported by the research?
- Can I cite a quote or data point?
- Am I making an assumption, or is this observed behavior?
Step 5: Present the Personas
User Personas Persona 1: [Name, Role] Context [Company, industry, seniority, 2-3 sentences describing their role] Primary Job to Be Done [1-2 sentences describing what they’re trying to accomplish] Pain Points 🚨
- [Pain point 1]: [Current workaround or impact]
- [Pain point 2]: [Current workaround or impact]
- [Pain point 3]: [Current workaround or impact]
- [Gain 1]: [Why it matters]
- [Gain 2]: [Why it matters]
- [Gain 3]: [Why it matters]
Persona 2: [Name, Role] [Same format] Persona 3: [Name, Role] [Same format]
Edge Cases
- Too few research data points: Work with what you have, but note: “We have limited data on [segment]. We should interview more to validate.” Continue with 2-3 personas instead of forcing 3.
- Similar personas: Ask: “How are these two different? What distinct need or behavior separates them?” Merge if they’re too similar.
- No counterintuitive insight: Don’t force it. Leave blank or note: “Insufficient data to identify.”
- Assumptions vs. data: Call out when you’re guessing. Ask the team: “Have you seen this behavior, or is this assumption?”
