affinity-diagram

仓库创建 2026年7月28日最近提交 1 天前SkillHot 收录 1 天前

▸ 精选理由

能把混乱输入快速整理成证据支撑的主题集。

这个 Skill 做什么

将大量定性观察、意见或笔记聚类为自然主题与洞察。

把一堆访谈摘录、意见、问题和灵感拆成好理解的主题堆，把杂乱的定性数据变成有证据支撑的洞察。适合做用户研究合成、研讨会聚类或把大量便签/反馈整理成主题时用。不同于套模板，它按“自然关系”分组并保留每条原始证据的可追溯性，方便回溯来源和论证。

▸ 展开 SKILL.md 英文原文

Use when many raw ideas, observations, quotes, pain points, risks, requirements, or research notes need to be grouped into natural themes. Use when applying affinity diagramming, affinity mapping, KJ method, qualitative clustering, theme synthesis, or sensemaking from messy inputs.

研究检索主题归类用户研究可视化通用

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# Affinity Diagram

Use this skill to turn scattered qualitative inputs into clear, evidence-backed theme clusters.

## Method Notes

- Affinity diagramming groups raw observations by natural relationship, not by a pre-decided framework.
- It is strongest when the input contains many notes, quotes, feedback items, ideas, symptoms, or concerns.
- The method should preserve traceability from each cluster back to the raw input.
- The output should help the next step: problem framing, prioritization, journey mapping, root-cause diagnosis, or solution design.

## Required Inputs

Collect or infer these inputs before execution:

- raw items to cluster
- source or context of each item when availabl

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