A comprehensive, zero-dependency UX research and design methodology skill for automating user discovery, persona building, and usability testing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-ux-research-engine
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install afrexai-ux-research-engine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is UX Research Engine?
The UX Research Engine is a powerful framework designed for the Openclaw Skills ecosystem that enables teams to conduct rigorous user research without the need for external scripts or APIs. It provides a standardized methodology covering everything from initial research planning and participant recruiting to synthesis and design validation. By using this tool within the Openclaw Skills environment, developers and designers can ensure that every product feature is validated against real user behavior and mental models.
This skill transforms raw observations into structured data, allowing for the creation of data-driven personas, detailed journey maps, and actionable research reports. It is built to facilitate high-quality qualitative and quantitative analysis, making it easier for AI agents to assist in identifying usability gaps and recommending specific design improvements based on industry-standard heuristics.
UX Research Engine Use Cases
- Planning multi-phase research studies with structured YAML briefs.
- Creating screening questionnaires to recruit specific user segments for testing.
- Generating interview guides that focus on past behaviors and mental models.
- Developing validated personas and anti-personas based on synthesized research data.
- Mapping complex user journeys to identify friction points and moments of truth.
- Conducting heuristic audits and usability tests with standardized severity scoring.
How UX Research Engine Works
- Initialize a research project by generating a Research Brief YAML to define objectives and success criteria.
- Utilize the Method Selection Matrix to choose the most effective research methodology based on project goals.
- Execute the recruiting phase using screener templates to filter for high-quality participants.
- Conduct user interviews or usability sessions using standardized guides and capture data in structured note-taking templates.
- Synthesize raw data through affinity mapping to extract key themes and actionable insights.
- Generate personas, journey maps, and research reports to inform design decisions and stakeholder strategy.
UX Research Engine Setup
To deploy the UX Research Engine within your environment, use the following command to initialize the directory structure and templates.
ai "Set up research repository"
No additional API keys or external dependencies are required as this is a pure agent-based workflow for Openclaw Skills.
UX Research Engine Data Schema & Taxonomy
The skill maintains a structured taxonomy for research data to ensure consistency across studies:
| File/Folder | Type | Purpose |
|---|---|---|
plan.yaml |
Configuration | Defines the research brief, methodology, and timeline. |
screener.yaml |
Template | Contains qualification/disqualification logic for participants. |
notes/ |
Directory | Stores per-participant observations and quotes in YAML format. |
personas/ |
Data Model | Stores master persona libraries with goals and frustrations. |
journey-maps/ |
Data Model | Visualizes stages, touchpoints, and emotional curves. |
insights-database.yaml |
Database | Tracks long-term patterns and cross-study findings. |
UX Research Engine Advanced Features
- Methodology Decision Tree to guide researchers from problem definition to the right evaluative tool.
- Integrated Statistical Calculators for determining sample sizes and confidence intervals.
- CAMPS Framework (Clarity, Alignment, Mental Model, Priority, Simplicity) for advanced design critique.
- Cross-study Insight Tracker to identify persistent usability issues across different product areas.
- Automated Research Scoring Rubric to evaluate the rigor and actionability of research outputs.
SKILL.md
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