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ElasticFlow

AI 기반 워크플로 자동화로 비즈니스를 혁신하세요. 모든 엔터프라이즈 요구를 위한 통합 플랫폼.

팔로우

플랫폼

  • 기능
  • 장점
  • 사용 사례
  • 워크플로 라이브러리

사용 사례

  • 영업
  • 마케팅
  • 재무·법무
  • 인사

카탈로그

  • 부서
  • 역할
  • 도구
  • 메트릭
  • 플랫폼

성장

  • 추천 프로그램
  • 파트너

법무

  • 개인정보 처리방침
  • 서비스 약관
  • 쿠키 정책
  • 허용 사용
  • 보안
  • SLA

© 2026 ElasticFlow. 모든 권리 보유.

ElasticFlow
HubAll SkillsBy DepartmentBy RoleBy ToolBy MetricMCPsPublishers
메인 사이트로그인회원가입
ElasticFlow

AI 기반 워크플로 자동화로 비즈니스를 혁신하세요. 모든 엔터프라이즈 요구를 위한 통합 플랫폼.

팔로우

플랫폼

  • 기능
  • 장점
  • 사용 사례
  • 워크플로 라이브러리

사용 사례

  • 영업
  • 마케팅
  • 재무·법무
  • 인사

카탈로그

  • 부서
  • 역할
  • 도구
  • 메트릭
  • 플랫폼

성장

  • 추천 프로그램
  • 파트너

법무

  • 개인정보 처리방침
  • 서비스 약관
  • 쿠키 정책
  • 허용 사용
  • 보안
  • SLA

© 2026 ElasticFlow. 모든 권리 보유.

ElasticFlow
HubAll SkillsBy DepartmentBy RoleBy ToolBy MetricMCPsPublishers
메인 사이트로그인회원가입
  1. 홈
  2. 스킬
  3. Tracking Plan
지원 언어:🇬🇧 English🇫🇷 Français
AI 스킬Plan tracking제품 및 엔지니어링

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

Claude Code용 Claude 스킬 · 제공: ElasticFlow✓ · 실행: /tracking-plan (Claude 내)·업데이트: 2026년 6월 12일·vmanual@2026-06-12

호환GChatGPTClaudeClaudeCCClaude 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.
사용자오늘

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 사용 시

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

대상

Analytics Engineer

Turn measurement questions into event plans and QA checks.

이 역할의 스킬 보기
그로스 마케터

Track conversion experiments and funnel steps with cleaner event definitions.

이 역할의 스킬 보기
프로덕트 매니저

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

이 역할의 스킬 보기

기능

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.

작동 방식

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.

입력 옵션

Product journey

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

예시

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.

개선되는 지표

어트리뷰션 정확도
+10-25%
제품 및 엔지니어링
이벤트 커버리지
+30-50%
제품 및 엔지니어링
Metric Trust
+20-40%
제품 및 엔지니어링

지원 도구

Segment
수동

Turn the plan into events and properties for analytics routing.

Amplitude
수동

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

Google Analytics
수동

Connect journey events to acquisition and conversion reporting.

Confluence
수동

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

어디서나 작동

단독 실행
설정 불필요

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

연결됨
CRM + 도구 통합

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

유사 스킬

속성 중복에 따라 자동 추천됩니다. 나란히 비교하면 차이가 드러납니다.

전체 4개 비교 →

기업 리서치

제공: Browserbase
↳text, tool-accessvstext, api-credentials(제공해야 하는 것)·markdown, csvvscsv, markdown(출력 형식)·review-requiredvsapproval-required(사람 검토)

경쟁사 인텔리전스

제공: Gooseworks
↳text, tool-accessvstext, api-credentials(제공해야 하는 것)·markdown, csvvsmarkdown, email(출력 형식)·review-requiredvsnone(사람 검토)

오피니언 리더 콘텐츠 모니터

제공: Gooseworks
↳text, tool-accessvstext, api-credentials(제공해야 하는 것)·markdown, csvvsmarkdown(출력 형식)·review-requiredvsnone(사람 검토)
속성 중복 × 차별화로 정렬. Tracking Plan은(는) 각 항목과 12개 이상의 속성을 공유합니다.

Tracking Plan을(를) 사용해 보시겠어요?

시작 방법을 선택하세요.

Claude Code에서 실행
무료. 오픈 소스.

이 스킬을 컴퓨터에 로컬로 설치하고 실행합니다.

1
Claude Code 설치

컴퓨터에서 터미널을 열고 이 명령을 붙여넣으세요:

2
스킬 설치

GitHub 저장소를 방문하여 README의 설치 안내를 따르세요.

3
실행하기

Claude Code를 시작한 다음 명령을 입력하세요:

그다음
ElasticFlow에서 사용
팀 및 협업 기능

브라우저에서 스킬을 실행. 결과 공유, 액세스 관리, 팀과 협업. 터미널 불필요.

14일 무료 평가판. 언제든 취소 가능.

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.

참조 문서

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 기반 워크플로 자동화로 비즈니스를 혁신하세요. 모든 엔터프라이즈 요구를 위한 통합 플랫폼.

팔로우

플랫폼

  • 기능
  • 장점
  • 사용 사례
  • 워크플로 라이브러리

사용 사례

  • 영업
  • 마케팅
  • 재무·법무
  • 인사

카탈로그

  • 부서
  • 역할
  • 도구
  • 메트릭
  • 플랫폼

성장

  • 추천 프로그램
  • 파트너

법무

  • 개인정보 처리방침
  • 서비스 약관
  • 쿠키 정책
  • 허용 사용
  • 보안
  • SLA

© 2026 ElasticFlow. 모든 권리 보유.