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AI搭載のワークフロー自動化でビジネスを変革。エンタープライズのあらゆるニーズを満たす統合プラットフォーム。

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© 2026 ElasticFlow. All rights reserved.

ElasticFlow
HubAll SkillsBy DepartmentBy RoleBy ToolBy MetricMCPsPublishers
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ElasticFlow

AI搭載のワークフロー自動化でビジネスを変革。エンタープライズのあらゆるニーズを満たす統合プラットフォーム。

フォローする

プラットフォーム

  • 機能
  • メリット
  • ユースケース
  • ワークフローライブラリ

ユースケース

  • 営業
  • マーケティング
  • 財務・法務
  • 人事

カタログ

  • 部門
  • ロール
  • ツール
  • メトリクス
  • プラットフォーム

成長

  • 紹介プログラム
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法務

  • プライバシーポリシー
  • 利用規約
  • Cookieポリシー
  • 許容される利用
  • セキュリティ
  • SLA

© 2026 ElasticFlow. All rights reserved.

ElasticFlow
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  1. ホーム
  2. スキル
  3. Tracking Plan
利用可能な言語:🇬🇧 English🇫🇷 Français
AIスキルPlan trackingProduct & Engineering

Define the events and properties needed to measure a product journey. — Claude Skill

Claude Code向けClaudeスキル · 提供:ElasticFlow✓ · 実行:/tracking-plan(Claude内)·更新日:2026年6月12日·vmanual@2026-06-12

対応GChatGPTClaudeClaudeCCClaude CodeCDClaude DesktopXCodex / Codex CLICursorCursorGeminiGeminiHHermes (via Continue / Cline)OpenClawOpenClawWindsurfWindsurf

Turns a product flow, launch, or metric question into a practical tracking plan with events, properties, owners, and QA checks.

  • Turns a product journey into events and properties a business team can understand before analytics implementation.
  • Connects every event to the question it answers, so tracking does not become a random list.
  • Flags missing owners, naming problems, privacy concerns, and events that need QA before launch.
  • Produces an implementation-ready table plus a plain-language summary for PM, data, and engineering.
あなた今日

A PM asks for 'tracking on the new flow', engineering adds a few events, and nobody knows whether the launch can be measured.

/tracking-plan使用時

Run /tracking-plan to define the question, events, properties, owners, and QA checks before implementation.

1 Describe the journey2 Define measurement questions3 Map events and properties4 Assign owner and QA

対象ユーザー

Analytics Engineer

Turn measurement questions into event plans and QA checks.

この役職のスキルを見る
Growth Marketer

Track conversion experiments and funnel steps with cleaner event definitions.

この役職のスキルを見る
Product Manager

Define how a launch or journey will be measured before it ships.

この役職のスキルを見る

機能

Feature launch tracking

Define what to track before a new feature ships.

Onboarding analytics

Measure where users drop off across setup, invite, activation, and first value.

Analytics QA

Check whether existing events answer the business question or need cleanup.

仕組み

1

Describe the product flow, launch, or metric you need to understand.

2

List the key user actions, decision points, success metric, and segments that matter.

3

The skill proposes events, properties, definitions, owners, and QA checks.

4

A human confirms naming standards, privacy rules, and whether engineering can instrument the plan.

入力オプション

Product journey

Screens, user steps, feature states, success moment, and known drop-off points.

例

What the user pastes
New onboarding flow:
1. User creates workspace.
2. User chooses a template.
3. User creates first project.
4. User invites teammates.

Goal: understand why teams fail to invite teammates.
Segments: company size, admin role, template type, plan.
Need: event names, properties, owner, and QA checks before launch next Friday.
Useful result
Measurement questions
Where do teams stop before inviting teammates? Does template choice change invite rate? Do larger companies need a different prompt?
Core events
workspace_created, onboarding_template_selected, project_created, teammate_invite_started, teammate_invite_sent, teammate_invite_accepted.
Important properties
workspace_id, user_role, company_size_bucket, plan, template_type, invite_count, invited_role, source_step.
QA checks
Verify event fires once, IDs are consistent, properties are populated, test accounts are excluded, and invite accepted joins back to the workspace.
Human review
Confirm privacy rules for invited email addresses and final event naming standard with the analytics owner.

改善される指標

Attribution Accuracy
+10-25%
Product & Engineering
Event Coverage
+30-50%
Product & Engineering
Metric Trust
+20-40%
Product & Engineering

対応ツール

Segment
手動

Turn the plan into events and properties for analytics routing.

Amplitude
手動

Measure product journeys, funnels, cohorts, and activation behavior.

google-analytics
手動

Connect journey events to acquisition and conversion reporting.

Confluence
手動

Publish definitions, owners, and QA rules for the team.

どこでも使える

スタンドアロン
セットアップ不要

Paste the notes, exports, screenshots, or summaries you already have. The skill works without a connected system.

接続済み
CRM+ツール連携

Connect the relevant support, analytics, CRM, or data tool when you want fresher source evidence.

Tracking Planを使ってみますか?

始め方を選択してください。

Claude Codeで実行
無料・オープンソース

このスキルをコンピュータにローカルでインストールして実行します。

1
Claude Codeをインストール

コンピュータでターミナルを開き、このコマンドを貼り付けます:

2
スキルをインストール

GitHubリポジトリを開き、READMEのインストール手順に従ってください。

3
実行する

Claude Codeを起動し、コマンドを入力します:

次に
ElasticFlowで利用
チームとコラボレーション機能

ブラウザからスキルを実行。結果を共有し、アクセス管理、チームで協力。ターミナル不要。

14日間無料トライアル。いつでもキャンセル可能。

Tracking Plan

Command: /tracking-plan

When to use it

Turns a product flow, launch, or metric question into a practical tracking plan with events, properties, owners, and QA checks.

What the skill produces

  • Turns a product journey into events and properties a business team can understand before analytics implementation.
  • Connects every event to the question it answers, so tracking does not become a random list.
  • Flags missing owners, naming problems, privacy concerns, and events that need QA before launch.
  • Produces an implementation-ready table plus a plain-language summary for PM, data, and engineering.

Inputs to provide

  • Product journey: Screens, user steps, feature states, success moment, and known drop-off points.
  • Measurement question: What decision the team needs to make from the data.
  • Existing tracking: Current event names, analytics screenshots, Segment plan, or dashboard fields.

Recommended flow

  1. Describe the product flow, launch, or metric you need to understand.
  2. List the key user actions, decision points, success metric, and segments that matter.
  3. The skill proposes events, properties, definitions, owners, and QA checks.
  4. A human confirms naming standards, privacy rules, and whether engineering can instrument the plan.

Useful result example

Measurement questions

Where do teams stop before inviting teammates? Does template choice change invite rate? Do larger companies need a different prompt?

Core events

workspace_created, onboarding_template_selected, project_created, teammate_invite_started, teammate_invite_sent, teammate_invite_accepted.

Important properties

workspace_id, user_role, company_size_bucket, plan, template_type, invite_count, invited_role, source_step.

QA checks

Verify event fires once, IDs are consistent, properties are populated, test accounts are excluded, and invite accepted joins back to the workspace.

Human review

Confirm privacy rules for invited email addresses and final event naming standard with the analytics owner.

Guardrails

  • Keep user-provided numbers, dates, tool names, commands, IDs, URLs, and rules intact.
  • Do not invent a source, metric, owner, decision, or risk that is not present in the supplied material.
  • Clearly mark what a human must confirm before publishing, changing a tool, or making a business decision.

参照ドキュメント

Tracking Plan

ElasticFlow editorial instructions for presenting /tracking-plan in the catalogue.

Purpose

Turns a product flow, launch, or metric question into a practical tracking plan with events, properties, owners, and QA checks.

Non-technical presentation

Explain the business problem, what the user provides, what the AI returns, and what a human still needs to confirm. Avoid implementation detail unless the user supplied it.

Catalogue Presentation Method

Every skill should read clearly for a business owner: current painful workflow, better workflow, concrete example, and review checklist.

The page must answer four questions: when to use it, what to provide, what the AI returns, and which human decision remains.

ElasticFlow

AI搭載のワークフロー自動化でビジネスを変革。エンタープライズのあらゆるニーズを満たす統合プラットフォーム。

フォローする

プラットフォーム

  • 機能
  • メリット
  • ユースケース
  • ワークフローライブラリ

ユースケース

  • 営業
  • マーケティング
  • 財務・法務
  • 人事

カタログ

  • 部門
  • ロール
  • ツール
  • メトリクス
  • プラットフォーム

成長

  • 紹介プログラム
  • パートナー

法務

  • プライバシーポリシー
  • 利用規約
  • Cookieポリシー
  • 許容される利用
  • セキュリティ
  • SLA

© 2026 ElasticFlow. All rights reserved.