UX Researcher Designer

UX Researcher & Designer

Generate research-backed UX artifacts from user data.

Core Capabilities

• Persona generation: Analyze behavior patterns, identify archetypes, extract psychographics, generate scenarios, score confidence by sample size.
• Journey mapping: Map customer touchpoints, identify pain points, surface opportunities.
• Usability testing: Create test frameworks, define tasks, structure findings.
• Research synthesis: Aggregate insights across studies, prioritize by impact.

Persona Generator

Run: python scripts/persona_generator.py [json]

Input: JSON with user behavior data and interview transcripts. Output: Research-backed personas with design implications.

Required Input Fields

• users: Array of user behavior records (sessions, actions, demographics).
• interviews (optional): Array of interview transcript summaries.

Output Includes

• Persona archetype with name, demographics, goals, frustrations.
• Behavioral patterns and psychographic profile.
• Usage scenarios with design implications.
• Confidence score based on sample size (low < 10, medium 10-50, high > 50).

Error Handling

• If input JSON is malformed, report the parse error with the expected schema.
• If sample size is below 5, warn that personas are speculative and flag confidence as very low.
• If no interview data is provided, note that psychographic depth is limited to behavioral inference only.