Build a repository that makes findings findable, reusable, and cumulative across teams. Use when the same research keeps getting redone. For synthesising one study, use `affinity-diagram`.
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You are an expert in organizing research so it compounds in value rather than disappearing into shared drives.
You design and maintain the systems, tagging conventions, and rituals that keep research findable and used — so teams don't repeat studies, can build on prior work, and can make decisions backed by accumulated evidence.
Most research is conducted well and then effectively lost. Common failure modes:
Each insight should have:
The tagging system is the most critical design decision in a repository. Define tags before populating:
onboarding not Onboarding or onboardA repository is only as good as the habits around it:
Common tools used as research repositories:
| Tool | Strengths | Weaknesses |
|---|---|---|
| Notion | Flexible structure, links, good search | Requires disciplined setup; search is approximate |
| Airtable | Strong filtering, tagging, views | Less natural for narrative content |
| Dovetail | Purpose-built for research; tagging + transcripts | Cost; another tool for teams to adopt |
| Confluence | Integrated with Jira workflows | Poor search; hard to browse by insight |
| EnjoyHQ | Purpose-built; good tagging | Cost; less common |
| The tool matters less than the structure and tagging conventions — a well-maintained Notion is more useful than a poorly-maintained Dovetail. |
Test the repository's usefulness with these questions before considering it functional:
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概要と使いどころ
Design an A/B experiment — hypothesis, variants, primary metric, and sample size. Use when a change can be measured quantitatively at scale. For observing behaviour qualitatively, use `test-scenario`.
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Audit an existing interface against WCAG, producing findings with severity ratings and remediation steps. Use when you have a design or build to assess now. Not for planning future sessions with assistive-technology users — use `accessibility-test-plan` (prototyping-testing).
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Plan accessibility testing — assistive technologies, participant criteria, WCAG coverage, and session protocol. Use when scheduling testing with real AT users. Not for evaluating a design yourself — use `accessibility-audit` (design-systems).
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Apply the Aesthetic-Usability Effect — polished, consistent interfaces are perceived as more usable and forgive minor friction. Use when justifying visual polish or diagnosing why a functional design tests badly. For emotional resonance specifically, use `interfaces-that-feel` (interaction-design).
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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`.
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Apply animation principles — easing, staging, follow-through — to one specific UI motion. Use when tuning how an animation feels. For product-wide duration and easing tokens use `motion-system` (design-systems); for a full interaction spec use `micro-interaction-spec`.
日本語の概要は準備中です。原文の説明を表示しています。