Multi-agentTechnology & Data AnalysisAdvancedFree

Product Analytics & User Behavior System.

3 agents, 3 deliverables.

Take a product idea from strategy to user experience, technical planning, build phases, and launch readiness.

WORKFLOW META

Agents3

Total tokens (avg)~500

Run time9 min

AI toolChatGPT · Claude · Gemini

Variables4

DifficultyAdvanced

CategoryTechnology & Data Analysis

SEQUENCE MAP · CLICK TO JUMP

· 01 ·

Analytics Architecture Planner

· 02 ·

Funnel & Retention Analysis Builder

· 03 ·

Experimentation System Designer

USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

Product type

Mega Prompt Library with 3000+ prompts

Current analytics setup

Product Analytics & User Behavior System example context

Key product question

Mega Prompt Library with 3000+ prompts

Team using analytics

2 marketers, 1 designer, 1 developer

THE AGENTS

The 3-step sequence.

AGENT · ANALYTICS ARCHITECTURE

Analytics Architecture Planner

GOAL OF THIS STEP

Design the product analytics architecture. Define: the event tracking strategy (what user actions to track — the 20 most important events across the user lifecycle: signup, onboarding steps, core feature usage, upgrade, churn), the user property schema (what attributes to store per user — acquisition source, plan, usage tier, cohort), the tracking implementation plan (where to add tracking code — frontend, backend, or both), and the tool recommendation based on product type and budget.

EXPECTED OUTPUT

20 events to track + user property schema + implementation plan + tool recommendation with pricing

agent-01-analytics-architecture-planner.md

### Input
Product type, current setup, key question, team

### Task
Design the product analytics architecture. Define: the event tracking strategy (what user actions to track — the 20 most important events across the user lifecycle: signup, onboarding steps, core feature usage, upgrade, churn), the user property schema (what attributes to store per user — acquisition source, plan, usage tier, cohort), the tracking implementation plan (where to add tracking code — frontend, backend, or both), and the tool recommendation based on product type and budget.

### Output
20 events to track + user property schema + implementation plan + tool recommendation with pricing

AGENT · FUNNEL &

Funnel & Retention Analysis Builder

AGENT · EXPERIMENTATION SYSTEM

Experimentation System Designer

HOW TO RUN

Three steps. 9 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window — every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 3 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Analytics Architecture Planner

20 events to track + user property schema + implementation plan + tool recommendation with pricing

Funnel & Retention Analysis Builder

5 analytics reports as dashboard specs: metrics + visualization + interpretation guide + action triggers

Experimentation System Designer

Experimentation philosophy + A/B framework + feature flag system + stat significance guide + result communication template

★ MULTI-AGENT PACK

The Multi-Agent Operator Pack.

100 production-ready workflows like this one. Agent prompts, variable cheat-sheets, and the operator's guide.

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View pack →

Product Analytics & User Behavior System.

Set the workflow's inputs once.

The 3-step sequence.

Analytics Architecture Planner

Funnel & Retention Analysis Builder

Experimentation System Designer

Three steps. 9 min.

The final output, end-to-end.

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