In the Skill's Own Terms
A UX research and design toolkit for a Senior UX Designer or Researcher. It runs four workflows: generate a data-driven persona, create a journey map, plan a usability test and synthesize research, with trigger terms that route each request to the right one.
The persona workflow prepares structured user records and uses a bundled persona_generator.py script for text or JSON output. The entry file shows output-format commands, not how a user-data file is loaded: inspect the bundled script before assuming an input flag. Reference tables cover methods, sample-size heuristics, issue severity and interview questions; they do not establish research validity on their own.
What it produces
- A persona covering demographics, psychographics, behaviors, needs and goals, frustrations with evidence, scenarios, design implications and data points.
- Either a human-readable persona block or JSON for integration, depending on the argument passed.
- A journey map with actions, touchpoints, emotions, pain points and opportunities filled in for every stage.
- Synthesized findings that state frequency as X out of Y participants alongside evidence, business impact and a recommendation.
- A usability test plan with research questions, scenarios, success criteria and a method suited to the study.
How It Works
- 01Pick the Right Workflow
The skill is split into four workflows: persona generation, journey mapping, usability test planning and research synthesis.
- 02Run the Persona Generator
Persona generation is a script call. Run it with no argument for human-readable output, or pass json to get machine-readable output for integration.
- 03Review the Generated Components
The workflow gives a review table so you check the archetype against data patterns, the goals for actionability, frustrations for frequency counts, and the design implications for whether designers can act on them.
- 04Validate the Persona
A generated persona is not finished until you take it back to 3-5 real users and ask whether it sounds like them.
- 05Map the Journey
Journey mapping uses typical B2B SaaS stages, then fills each stage with actions, touchpoints, emotions, pain points and opportunities.
- 06Code and Cluster the Research
Raw data is tagged with GOAL, PAIN, BEHAVIOR, CONTEXT and QUOTE, then similar patterns are clustered into segments with sizes before findings are extracted.