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ElasticFlow
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ElasticFlow

Transformieren Sie Ihr Unternehmen mit KI-gestützter Workflow-Automatisierung. Eine einheitliche Plattform für alle Enterprise-Anforderungen.

Folgen

Plattform

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  1. Startseite
  2. Skills
  3. Tracking Plan
Verfügbar in:🇬🇧 English🇫🇷 Français
KI-SkillPlan trackingProduct & Engineering

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

Ein Claude-Skill für Claude Code von ElasticFlow✓ — ausführen mit /tracking-plan in Claude·Aktualisiert am 12. Juni 2026·vmanual@2026-06-12

Kompatibel mitGChatGPTClaudeClaudeCCClaude 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.
DuHeute

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

Mit /tracking-plan

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

Für wen

Analytics Engineer

Turn measurement questions into event plans and QA checks.

Skills für diese Rolle ansehen
Growth Marketer

Track conversion experiments and funnel steps with cleaner event definitions.

Skills für diese Rolle ansehen
Product Manager

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

Skills für diese Rolle ansehen

Funktionen

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.

So funktioniert's

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.

Eingabeoptionen

Product journey

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

Beispiel

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.

Verbesserte Metriken

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

Funktioniert mit

Segment
manuell

Turn the plan into events and properties for analytics routing.

Amplitude
manuell

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

google-analytics
manuell

Connect journey events to acquisition and conversion reporting.

Confluence
manuell

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

Überall einsatzbereit

Eigenständig
Keine Einrichtung nötig

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

Verbunden
CRM + Tools integriert

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

Möchten Sie Tracking Plan nutzen?

Wählen Sie, wie Sie starten möchten.

In Claude Code ausführen
Kostenlos. Open Source.

Installieren und führen Sie diesen Skill lokal auf Ihrem Computer aus.

1
Claude Code installieren

Öffnen Sie ein Terminal auf Ihrem Computer und fügen Sie diesen Befehl ein:

2
Skill installieren

Besuchen Sie das GitHub-Repository und folgen Sie den Installationshinweisen im README.

3
Ausführen

Starten Sie Claude Code und geben Sie den Befehl ein:

dann
Auf ElasticFlow nutzen
Team- und Kollaborationsfunktionen

Führen Sie Skills aus Ihrem Browser aus. Ergebnisse teilen, Zugriffe verwalten, mit Ihrem Team zusammenarbeiten. Kein Terminal nötig.

14 Tage kostenlos. Jederzeit kündbar.

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.

Referenzdokumente

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

Transformieren Sie Ihr Unternehmen mit KI-gestützter Workflow-Automatisierung. Eine einheitliche Plattform für alle Enterprise-Anforderungen.

Folgen

Plattform

  • Funktionen
  • Vorteile
  • Anwendungsfälle
  • Workflow-Bibliothek

Anwendungsfälle

  • Vertrieb
  • Marketing
  • Finanzen & Recht
  • HR

Katalog

  • Abteilungen
  • Rollen
  • Tools
  • Metriken
  • Plattformen

Wachstum

  • Empfehlungsprogramm
  • Partner

Rechtliches

  • Datenschutzerklärung
  • Nutzungsbedingungen
  • Cookie-Richtlinie
  • Zulässige Nutzung
  • Sicherheit
  • SLA

© 2026 ElasticFlow. Alle Rechte vorbehalten.