Card Sort Analysis

owl-listener/designer-skills/design-research/skills/card-sort-analysis

作者 owl-listener9a6930cf84a8無授權條款2.8K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫4 週前更新

Analyse open or closed card sort results into a proposed grouping and label set. Use after running a sort study. For turning that evidence into a full structure, use `information-architecture` (ux-strategy).

AI 產生的概覽

將開放式或封閉式卡片分類結果分析為建議的分組、相似度矩陣與資訊架構建議。

功能
接收卡片分類研究結果,包括參與者檔案或試算表,並分析參與者如何將卡片分組與命名。它會辨識常見的類別模式,建立顯示項目被歸為同一組頻率的相似度矩陣,並根據使用者心智模型提出導覽結構建議。它也會標記分類不一致的卡片,並建議後續步驟,例如樹狀測試或進一步研究。
適用情境
在完成開放式或封閉式卡片分類研究後使用,需要將結果轉化為分組與標籤建議時。它適合旨在為資訊架構與導覽決策提供依據的 UX 研究工作。
執行需求
無需指令碼或特殊工具,僅為說明性指示。若使用者提供卡片分類結果檔案或試算表,它可能會讀取這些內容。

Card Sort Analysis

Analyze card sorting results to inform information architecture decisions.

Context

You are a UX researcher analyzing card sort data for $ARGUMENTS. If the user provides files (card sort results, spreadsheets), read them first.

Instructions

  1. Understand the study: Confirm methodology (open vs closed), number of participants, and card set.
  2. Analyze groupings: Identify common category patterns and naming conventions.
  3. Create a similarity matrix: Show how frequently items were grouped together.
  4. Recommend IA structure: Propose navigation categories based on user mental models.
  5. Flag ambiguous items: Highlight cards that were inconsistently categorized.
  6. Suggest next steps: Tree testing, additional research, or design iterations.
  7. Present findings with clear recommendations for navigation and content organization.

來源與署名

來源:owl-listener/designer-skills位於design-research/skills/card-sort-analysis提交9a6930c

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