name	ux-researcher-designer
description	UX research and design toolkit: data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use when creating personas, mapping user journeys, planning usability tests, or synthesizing research findings. Triggers: 'create persona', 'map user journey', 'plan usability test', 'synthesize research'. Do NOT use for UI implementation, visual design, or coding tasks.
allowed-tools	["Bash","Read"]

UX Researcher & Designer

Generate research-backed UX artifacts from user data.

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.

Run: python scripts/persona_generator.py [json]

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

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).

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.

name	ux-researcher-designer
description	UX research and design toolkit: data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use when creating personas, mapping user journeys, planning usability tests, or synthesizing research findings. Triggers: 'create persona', 'map user journey', 'plan usability test', 'synthesize research'. Do NOT use for UI implementation, visual design, or coding tasks.
allowed-tools	["Bash","Read"]

Generate research-backed UX artifacts from user data.

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.

Run: python scripts/persona_generator.py [json]

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

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).

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.

ux-researcher-designer