Cb User Persona Builder
by @harrylabsj
Guides structured creation and validation of evidence-based user personas for foreign markets using multidimensional insights and cultural context overlays.
clawhub install cb-user-persona-builderπ About This Skill
slug: cb-user-persona-builder version: "1.0.0" type: descriptive language: en
Overseas Market User Persona Builder
Overview
This skill provides a research-backed method for constructing foreign-market user personas that go beyond simple demographic slices. It guides you through defining at least eight distinct persona dimensions, triangulating data from multiple sources, overlaying cultural value frameworks, mapping jobs-to-be-done across functional, emotional, and social dimensions, prioritizing segments, and building a validation loop to reduce stereotyping and keep personas grounded in evidence.
The output is a set of persona profiles you can use to align product, marketing, and sales decisions when entering a new market.
When to Use
Inputs to Collect
1. Product or service description: what you sell, how it is used, and what problem it solves 2. Existing market data: customer data from your domestic market, even if not directly transferable 3. Category intelligence: industry reports, analyst research, or trade publications covering the target market 4. Cultural context notes: any prior exposure to the target market, including personal experience, research, or local advisor input 5. Target market definition: country or countries, urban vs. rural, language, and socioeconomic segmentation 6. Business constraints: price range, regulatory context, and the minimum viable segment size for your business model 7. Known gaps: what you explicitly do not know about this market that you most need to understand
Workflow
1. Convert the userβs market-entry question into explicit persona hypotheses, separating demographics from behaviors, motivations, anxieties, and purchase triggers. 2. Identify evidence sources for each hypothesis, such as customer interviews, support logs, reviews, social listening, sales conversations, and competitor communities. 3. Build persona cards with jobs-to-be-done, cultural context, trust requirements, buying committee influence, objections, and preferred channels. 4. Prioritize personas by strategic fit, accessibility, expected value, urgency of pain, and ability to validate quickly. 5. Define validation tasks that replace stereotypes with evidence, including interview prompts, message tests, and disconfirming questions.
Output Modules
1. Persona Dimension Framework β table with eight-plus dimensions and evidence quality labels 2. Data-Source Triangulation Guide β source map with conflict flags for each dimension 3. Cultural Value Overlay β contrast summary between home and target market with adjustment notes 4. Jobs-to-be-Done Map β functional, emotional, and social jobs with importance and satisfaction ratings 5. Segment Prioritization Matrix β scored and plotted segments with selection rationale 6. Persona Validation Loop β interview questions, assumption tracking table, review schedule, and usage rules
Example Prompts
Safety and Limitations
Personas are hypotheses derived from available evidence, not definitive descriptions of real people. They must be treated as working models and updated continuously with new evidence. Using personas to make broad cultural generalization or policy decisions without validation risks stereotyping and misallocation of resources. This skill provides a structured framework for building and validating personas; it does not replace primary research.