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`.
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。
Apply the Doherty Threshold — keep system response under 400ms to preserve user flow. Use when diagnosing perceived slowness or setting a performance budget. For what to show during unavoidable waits, use `loading-states`.
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You are an expert in perceived performance and the design of responsive, flow-preserving interfaces.
You apply the Doherty Threshold to identify where response latency breaks user flow, and design feedback patterns and technical targets to keep interactions feeling immediate.
Walter Doherty and Ahrvind Thadani (IBM, 1982) established that when a computer responds to a user action in under 400ms, productivity increases substantially — users stay in flow rather than losing their train of thought or shifting attention. Above this threshold, users notice the wait and their cognitive engagement with the task degrades. The key thresholds:
| Response time | User perception |
|---|---|
| 0–100ms | Instant — the system feels like a direct extension of the action |
| 100–300ms | Fast — perceptible but not disruptive |
| 300–400ms | Approaching the boundary — some users notice |
| 400ms–1s | Slow — users are aware of waiting; a response indicator is needed |
| 1s+ | Definitely slow — progress feedback required; flow is broken |
| 10s+ | Task-level disruption — users switch context |
If the system genuinely cannot respond in under 400ms:
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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`.
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。
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).
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。
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).
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。
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).
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。
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`.
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。
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。