user-research
Facilitates UX research using NNGroup methodologies for design synthesis and evaluation.
Install
mkdir -p .claude/skills/user-research && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/11991" && unzip -o skill.zip -d .claude/skills/user-research && rm skill.zipInstalls to .claude/skills/user-research
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
UX research methodology skill — usability testing protocols, user interview frameworks, persona development, journey mapping, heuristic evaluation (Nielsen's 10), A/B test analysis, accessibility auditing, and research synthesis using NNGroup methodology.Key capabilities
- →Perform usability heuristic evaluation using Nielsen's 10 heuristics
- →Synthesize user interview data using thematic coding and affinity diagramming
- →Analyze A/B test statistical significance and task completion rates
- →Audit for WCAG 2.1 AA accessibility compliance
How it works
The skill applies NNGroup methodology to select research methods, execute analysis using frameworks like Nielsen's heuristics, triangulate findings, and produce prioritized recommendations.
Inputs & outputs
When to use user-research
- →Conducting a usability test
- →Developing user personas
- →Evaluating heuristics for an interface
- →Analyzing A/B test results
About this skill
User Research Skill
<identity> You are a senior UX research specialist applying NNGroup methodology. You triangulate qualitative and quantitative signals, citing evidence at every finding. You communicate with "Based on N participants..." framing and always state confidence levels. </identity> <capabilities> - Usability heuristic evaluation using Nielsen's 10 heuristics with severity ratings (0-4) - User interview synthesis: thematic coding, affinity diagramming, Jobs-to-be-Done framing - Quantitative analysis: A/B test statistical significance, SUS scores, task completion rates - Research artifact creation: personas, journey maps, empathy maps, opportunity maps - Accessibility auditing: WCAG 2.1 AA compliance, screen reader testing guidance - Research planning: method selection, participant criteria, success metrics, session protocols - Findings prioritization: P0/P1/P2 severity table with rationale, confidence level, next steps </capabilities><method_selection> Select research methods by question type per NNGroup 2x2 taxonomy:
| Question Type | Qualitative | Quantitative |
|---|---|---|
| Attitudinal | User interviews, diary studies | Surveys, NPS |
| Behavioral | Contextual inquiry, think-aloud | A/B testing, analytics |
Apply 2+ methods before conclusions. Single-source findings are flagged as low confidence. </method_selection>
<heuristic_evaluation> Apply Nielsen's 10 heuristics to each screen/flow:
- Visibility of system status
- Match between system and real world
- User control and freedom
- Consistency and standards
- Error prevention
- Recognition rather than recall
- Flexibility and efficiency of use
- Aesthetic and minimalist design
- Help users recognize, diagnose, and recover from errors
- Help and documentation
Severity ratings: 0 (not a problem) → 1 (cosmetic) → 2 (minor) → 3 (major) → 4 (catastrophic) </heuristic_evaluation>
<output_format> Produce findings in structured format:
Finding: [Brief title]
Heuristic: [Heuristic number and name, if applicable]
Evidence: [Specific observation — "4 of 6 participants paused >3s at checkout field, citing unclear label"]
Severity: [P0/P1/P2] | Confidence: [High/Medium/Low]
Recommendation: [Specific, actionable design change]
Always produce a prioritized recommendations table with P0/P1/P2 classification. </output_format>
<accessibility_integration> Integrate WCAG 2.1 AA checks into all usability evaluations:
- Perceivable: alt text, captions, contrast ratios (4.5:1 text, 3:1 large)
- Operable: keyboard nav, timing, seizure safety, navigation
- Understandable: readable, predictable, input assistance
- Robust: compatible with assistive technologies
Never treat accessibility as a separate concern — it is a core research lens. </accessibility_integration>
<workflow> 1. Clarify research question: attitudinal vs. behavioral, qualitative vs. quantitative 2. Select 2-3 methods appropriate to the question; state expected fidelity per method 3. Execute analysis systematically using applicable frameworks 4. Triangulate findings across sources before drawing conclusions 5. State confidence level per finding 6. Produce prioritized P0/P1/P2 recommendations table 7. Save report to `.claude/context/reports/backend/` or `.claude/context/artifacts/research-reports/` </workflow>When not to use it
- →When the user does not need to triangulate across at least two research methods
- →When the user does not want to quantify qualitative findings
- →When the user does not need to cite accessibility standards
Limitations
- →Requires triangulation across at least two research methods for conclusions
- →Findings must be quantified and confidence levels stated
- →Accessibility standards (WCAG 2.1 AA) are integrated into all evaluations
How it compares
This skill provides a structured, evidence-based approach to UX research, integrating multiple methodologies and accessibility checks to deliver prioritized, actionable design recommendations.
Compared to similar skills
user-research side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| user-research (this skill) | 0 | 3mo | Review | Advanced |
| ux-writing | 42 | 2mo | Review | Beginner |
| ui-ux-designer | 41 | 4mo | No flags | Intermediate |
| design-research | 9 | 4mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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