{"slug":"owl-listener-affinity-diagram","name":"affinity-diagram","description":"Cluster many qualitative data points into themes and insight statements. Use when synthesising across multiple sessions or sources. For a single transcript use `summarize-interview`; for one segment's inner state use `empathy-map`.","long_description":"---\nname: affinity-diagram\ndescription: Cluster many qualitative data points into themes and insight statements. Use when synthesising across multiple sessions or sources. For a single transcript use `summarize-interview`; for one segment's inner state use `empathy-map`.\n---\n\n# Affinity Diagram\n\nOrganize qualitative research data into themed clusters and insight statements.\n\n## Context\n\nYou are a UX researcher synthesizing qualitative data for $ARGUMENTS. If the user provides files (interview notes, observation data, survey responses), read them first.\n\n## Instructions\n\n1. **Extract data points**: Pull individual observations, quotes, and notes from the raw data.\n2. **Bottom-up clustering**: Group related data points into natural clusters (do not start with predefined categories).\n3. **Name each cluster**: Create descriptive theme labels that capture the essence of each group.\n4. **Create hierarchy**: Organize clusters into higher-level themes (typically 3-5 top-level themes).\n5. **Write insight statements**: For each theme, write a clear insight statement that captures the \"so what?\"\n6. **Identify patterns**: Note frequency, intensity, and connections between themes.\n7. **Prioritize**: Rank insights by impact on design decisions.\n8. Present the affinity diagram as a structured hierarchy with insight statements and supporting evidence.\n\n## Cross-Interview Sampling Principle\n\n**Index evenly across all participants.** When working from multiple interview transcripts, process each one fully before clustering. Do not over-represent early transcripts or the most recent input.\n\n- Treat each participant as an equal source of signal\n- Tag every observation with its participant ID (P1, P2, P3...) before grouping\n- After clustering, check that each participant appears at least once in the output — if any are absent, go back\n- Patterns that appear in only one interview should be flagged as single-source, not discarded\n\nThis prevents the common LLM failure mode of building themes from the first one or two transcripts and fitting the rest retroactively.\n","tagline":"Cluster many qualitative data points into themes and insight statements. Use when synthesising across multiple sessions or sources. 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Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Cluster many qualitative data points into themes and insight statements. Use when synthesising across multiple sessions or sources. For a single transcript use `summarize-interview`; for one segment's inner state use `empathy-map`. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"owl-listener-affinity-diagram\",\"task\":\"Install affinity-diagram\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"affinity-diagram\" as a Claude Code skill from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/affinity-diagram. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Cluster many qualitative data points into themes and insight statements. Use when synthesising across multiple sessions or sources. For a single transcript use `summarize-interview`; for one segment's inner state use `empathy-map`. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"owl-listener-affinity-diagram\",\"task\":\"Install affinity-diagram\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"affinity-diagram\" from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/affinity-diagram into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Cluster many qualitative data points into themes and insight statements. Use when synthesising across multiple sessions or sources. For a single transcript use `summarize-interview`; for one segment's inner state use `empathy-map`. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"owl-listener-affinity-diagram\",\"task\":\"Install affinity-diagram\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"affinity-diagram\" as a Claude Code skill from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/affinity-diagram. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Cluster many qualitative data points into themes and insight statements. Use when synthesising across multiple sessions or sources. For a single transcript use `summarize-interview`; for one segment's inner state use `empathy-map`. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"owl-listener-affinity-diagram\",\"task\":\"Install affinity-diagram\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"affinity-diagram\" from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/affinity-diagram into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Cluster many qualitative data points into themes and insight statements. Use when synthesising across multiple sessions or sources. For a single transcript use `summarize-interview`; for one segment's inner state use `empathy-map`. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"owl-listener-affinity-diagram\",\"task\":\"Install affinity-diagram\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/affinity-diagram. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Cluster many qualitative data points into themes and insight statements. Use when synthesising across multiple sessions or sources. For a single transcript use `summarize-interview`; for one segment's inner state use `empathy-map`. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"owl-listener-affinity-diagram\",\"task\":\"Install affinity-diagram\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"affinity-diagram\" as a Claude Code skill from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/affinity-diagram. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Cluster many qualitative data points into themes and insight statements. Use when synthesising across multiple sessions or sources. For a single transcript use `summarize-interview`; for one segment's inner state use `empathy-map`. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"owl-listener-affinity-diagram\",\"task\":\"Install affinity-diagram\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"affinity-diagram\" from https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/affinity-diagram into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Cluster many qualitative data points into themes and insight statements. Use when synthesising across multiple sessions or sources. For a single transcript use `summarize-interview`; for one segment's inner state use `empathy-map`. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"owl-listener-affinity-diagram\",\"task\":\"Install affinity-diagram\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/affinity-diagram","github_repo":"Owl-Listener/designer-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/owl-listener-affinity-diagram","repository":"https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/affinity-diagram","api":"/api/agent/skills/owl-listener-affinity-diagram","install_api":"/api/skills/owl-listener-affinity-diagram/install"},"meta":{"created_at":"2026-09-02T02:02:26.195121+00:00","updated_at":"2026-09-02T02:02:26.36442+00:00","agent_friendly":true}}