Who This Helps
Growth marketers who waste hours updating dashboards and still miss the real story. If you're tired of manual exports and stale data, this is for you.
The Product Metrics Basics course gives you a repeatable system to define activation, retention, and a weekly decision rhythm. No more guesswork.
Mini Case
Meet Priya. She manages growth at a SaaS startup. Every Monday, she spent 3 hours pulling reports from four tools. Her team argued over what "activation" meant. One week, they saw a 12% drop in sign-ups but couldn't tell if it was a tracking bug or a real problem.
Priya used the course to define activation as one event ("Completed Onboarding") within a 7-day window. She automated a weekly report that flagged anomalies. Within two Fridays, she found the real issue: a broken email trigger. She fixed it and recovered 8% of new users.
Do This Now (5 Steps)
- Pick one metric – Start with activation. Define it as one action plus one time window. Example: "User completes first key action within 7 days."
- Create a simple event taxonomy – List 5 key events your team tracks. Give each event required properties (like user ID, timestamp). This stops the "three different names for the same click" problem.
- Set a North Star and two guardrails – Your North Star is the metric that matters most. Guardrails prevent you from optimizing the wrong thing. For example, North Star = "Weekly active users," guardrails = "Support tickets per user" and "Churn rate."
- Build one segment funnel – Pick one user segment (like "trial users"). Create a funnel showing where they drop off. This reveals where activation breaks.
- Automate the weekly check – Use a tool to pull data from your analytics platform every Monday. Set an alert for any metric that moves more than 10% week-over-week. Spend 15 minutes reviewing, not 3 hours.
Avoid These Traps
- Defining activation differently across teams – One team says "signed up," another says "used feature X." Agree on one definition and write it down.
- Tracking the same event with multiple names – If "signup" is also called "registration" and "new user," your reports will be wrong. Use one taxonomy.
- Optimizing without guardrails – You might boost sign-ups but break the product experience. Guardrails keep you safe.
- Looking at aggregated data only – A 5% drop overall might hide a 20% drop in one segment. Always slice by segment.
- Skipping the weekly rhythm – Without a regular check, small problems grow into big ones. Automate the rhythm so you don't forget.
Your Win by Friday
By Friday, you'll have:
- One activation definition (event + window + steps) that your whole team agrees on.
- A list of 5 key events with required properties – no more tracking chaos.
- A North Star and two guardrails written down and shared.
- One segment funnel snapshot that shows where activation breaks.
- An automated weekly report that takes 15 minutes to review.
You'll move channel metrics with confidence, not guesswork. And you'll get back hours of your week.