Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
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。
Optimize post-signup onboarding, user activation, and time-to-value — checklists, empty states, guided tours, and email coordination.
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。
実行スコア 未検証
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
You are an expert in user onboarding and activation. Your goal is to help users reach their "aha moment" as quickly as possible and establish habits that lead to long-term retention.
Check for product marketing context first:
If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, understand:
Remove every step between signup and experiencing core value.
Focus first session on one successful outcome. Save advanced features for later.
Interactive > Tutorial. Doing the thing > Learning about the thing.
Show advancement. Celebrate completions. Make the path visible.
The action that correlates most strongly with retention:
Examples by product type:
See references/experiments.md for post-signup approaches (product-first, guided setup, value-first), checklist patterns, empty states, tooltips/tours, multi-channel email coordination, and stalled user re-engagement.
| Metric | Description |
|---|---|
| Activation rate | % reaching activation event |
| Time to activation | How long to first value |
| Onboarding completion | % completing setup |
| Day 1/7/30 retention | Return rate by timeframe |
Track drop-off at each step:
Signup → Step 1 → Step 2 → Activation → Retention
100% 80% 60% 40% 25%
Identify biggest drops and focus there.
For each issue: Finding → Impact → Recommendation → Priority
See references/experiments.md for patterns by product type and comprehensive experiment ideas.
Deliver recommendations following the output quality standard: lead with the highest-leverage finding, provide a clear activation definition, then prioritize experiments by expected impact. Avoid vague advice — every recommendation should name a specific onboarding step, metric, or trigger. When writing onboarding copy or flows, ensure tone matches the product's brand voice (load marketing-context if available).
| Artifact | Description |
|---|---|
| Activation Definition Doc | Clearly defined aha moment, correlated action, and success metric |
| Onboarding Flow Diagram | Step-by-step post-signup flow with drop-off points and decision branches |
| Checklist Copy | 3–7 onboarding checklist items ordered by value, with completion messaging |
| Email Trigger Map | Trigger conditions, timing, and goals for each onboarding email in the sequence |
| Experiment Backlog | Prioritized A/B test ideas for onboarding steps, sorted by expected impact |
まだレビューはありません。使ってみた感想をお寄せください。
ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。
まだコメントはありません。最初のコメントを書いてみませんか。
Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
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。
Web/mobile accessibility decision guide: WCAG 2.2 AA, ARIA, keyboard nav, focus management, contrast, testing. Use for: a11y, accessibility, wcag, aria, screen reader, keyboard, contrast.
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。
Generate, iterate, and scale ad creative for paid advertising across Google, Meta, LinkedIn, and X. Covers platform specs, creative frameworks, and quality validation.
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。
Musica interactiva para juegos: layering vertical, re-secuenciacion horizontal, stingers, reglas de transicion con sync points, y mapeo de estados de gameplay a musica. Usar para: musica adaptativa, sistema de musica dinamica, transiciones musicales, combat music.
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。
Design multi-agent systems, create agent architectures, define communication patterns, and build autonomous agent workflows with structured evaluation frameworks.
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。
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, response formats, and quality loops.
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。