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Ux research synthesis

Skill planifest/planifest-framework/planifest-framework/external-skills/ux-research-synthesis

A specification framework for agentic development. Agents build from complete specs - not guesses.

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npx -y skills add planifest/planifest-framework --skill ux-research-synthesis

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UX research synthesis workflow for turning mixed evidence into prioritized design actions. Use when multiple qualitative and quantitative inputs must be consolidated into clear design implications; do not use for backend architecture or deployment planning.

SKILL.md

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UX Research Synthesis

Overview

Use this skill to transform fragmented research inputs into coherent and prioritized product/design direction.

Scope Boundaries

  • Multiple research sources exist but implications are unclear or conflicting.
  • Teams need to prioritize design actions using evidence, not intuition.
  • Product or design planning requires confidence-weighted insight summaries.

Templates And Assets

  • Synthesis mapping template:
    • assets/ux-synthesis-mapping-template.md

Inputs To Gather

  • Research transcripts, usability findings, analytics, and support signals.
  • Product goals, current hypotheses, and design constraints.
  • Segment definitions and sampling limitations.

Deliverables

  • Insight clusters with evidence links and confidence level.
  • Prioritized design implications with expected user impact.
  • Open questions and follow-up research recommendations.

Workflow

  1. Normalize incoming evidence and remove duplicate observations.
  2. Cluster findings by user goal, failure pattern, and context.
  3. Separate facts, interpretations, and assumptions.
  4. Resolve contradictions by checking source quality and representativeness.
  5. Rank implications by severity, frequency, and strategic impact.
  6. Publish synthesis with confidence, limitations, and recommended actions.

Quality Standard

  • Each implication is linked to evidence and confidence level.
  • Contradictions are documented with explicit uncertainty.
  • Prioritization logic is transparent and repeatable.
  • Output is actionable for design and product planning.

Failure Conditions

  • Stop when evidence traceability is missing.
  • Stop when confidence cannot be estimated due to weak data quality.
  • Escalate when synthesis results conflict with critical business constraints.

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