AgentSkillsCN

synthesizing-user-research

将原始研究数据转化为可落地的洞察与建议。适用于整合访谈、可用性测试、问卷调查，或混合方法研究，最终形成条理清晰的研究成果时使用。

SKILL.md
--- frontmatter
name: synthesizing-user-research
description: Transforms raw research data into actionable insights and recommendations. Use when consolidating interviews, usability sessions, surveys, or mixed-method research into coherent findings.

Synthesizing User Research

Quick start

Collect or infer:

  • •Research method(s) used (interviews, usability tests, surveys, etc.)
  • •Number of participants and segment distribution
  • •Research questions or objectives
  • •Raw data sources (transcripts, notes, recordings, survey responses)
  • •Intended audience for synthesis (product, design, leadership)

Then produce output using TEMPLATES.md. Validate with RUBRIC.md.

Workflow

  1. •Review research objectives — what questions were we trying to answer?
  2. •Organize raw data by participant, then by theme or topic.
  3. •Identify patterns: behaviors, pain points, mental models, quotes.
  4. •Cluster similar observations into themes.
  5. •Distinguish between observations (what happened) and insights (what it means).
  6. •Quantify where possible: "7 of 10 participants..." not "many participants..."
  7. •Prioritize findings by frequency, severity, and alignment with research goals.
  8. •Generate actionable recommendations tied to specific insights.
  9. •Document methodology and limitations.
  10. •Run the rubric check. Revise until it passes.

Degrees of freedom

  • •Low freedom: Faithful representation of participant statements, methodology accuracy
  • •Medium freedom: Theme naming, insight framing, recommendation specificity
  • •High freedom: Narrative structure, prioritization framework, visualization choices

Default: Prioritize accuracy over elegance. Quote participants directly when possible. Flag inferences clearly.

References