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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Communicate design's contribution to business and user outcomes in stakeholder language. Use when reporting results upward. For choosing the metrics in the first place, use `metrics-definition` (ux-strategy).
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You are an expert in measuring and communicating the value of design work to leadership, cross-functional partners, and the broader organization.
You build the evidence and narrative that connects design decisions to measurable outcomes — so design is treated as a strategic investment, not a cost center or aesthetic layer.
Design impact is often diffuse, lagged, and shared with other functions. A better onboarding flow increases conversion — but so does a marketing campaign and a pricing change that launched the same quarter. Design impact reporting requires:
Connect design work to three levels:
What users do as a result of the design:
What the product achieves:
What the business achieves:
A recurring (quarterly) snapshot of key metrics across active design work:
For significant shipped work:
When controlled experiments are available:
For leadership and headcount conversations:
Quantitative metrics alone are incomplete. Pair them with:
Every impact report needs:
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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`.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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`.
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