Module
Module 1 of 6Lesson 1 of 1~4 min

Course overview

This course teaches product managers to instrument an existing product, then use the data to settle a real decision. The overview maps the whole path, from choosing metrics to the final memo, and what you will have built on your own product. It helps you plan the time involved and who to bring in from engineering and data.

Take this lesson: your first course is freeSee the full syllabus

Lesson objective

By the end of this overview, you will know what you are going to produce (a tracking plan, a dashboard and a decision memo for your product), which decision Atelio will settle throughout the course and which five modules take you there.

Topics covered

  • product analytics
  • tracking plan
  • decision memo
  • product instrumentation

Where it fits

Overview

What will I be able to do by the end of this course, and in what order?

Lessons in this module

  1. Course overview (this lesson)

What you will learn in the course

This lesson is part of the course Instrument a product and use data to make decisions

  • Build a product's metrics tree (North Star, input metrics, guardrails) from the decisions to be made, and rule out vanity metrics.
  • Design an implementable tracking plan (events, properties, naming convention, identity and accounts, emitting source, owners).
  • QA and monitor event collection to get reliable data, and know what to do when it is not.
  • Collect usage data in line with the GDPR and the CNIL rules (consent, audience measurement exemption, minimisation, retention period).
  • Analyse a conversion funnel, activation and cohort retention, and interpret the resulting curves correctly.
  • Choose a product analytics tool (PostHog, Amplitude, Mixpanel, GA4, data warehouse) based on needs, constraints and cost.
  • Turn an analysis into a reasoned decision (dashboard, decision memo) while avoiding interpretation traps (vanity, Simpson, correlation, small counts).

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