Who This Helps
You're a Team Lead who wants to scale a repeatable analytics routine. You have a growing pile of experiment ideas, but only time for one. The Product Metrics Basics course shows you how to use activation data to pick the winner.
Mini Case
Meet Priya. She leads a product team that just finished defining their activation event: "User completes onboarding in 7 days." The team has 12 experiment ideas. Priya checks the activation funnel and sees that 40% of users drop off at step 3. She picks one experiment to fix that step. The result? Activation jumps 15% in two weeks. No more guessing.
Do This Now (5 Steps)
- Pull your activation funnel. Look at the step where most users drop off. That's your bottleneck.
- List your top 3 experiment ideas. Write them down. No editing yet.
- Match each idea to the bottleneck. Which one directly targets the drop-off step? That's your priority.
- Check your guardrails. From the Metrics Charter mission, make sure your experiment won't hurt retention or another key metric.
- Run the one experiment. Focus your team's energy on that single move. Measure the impact on activation in 7 days.
Avoid These Traps
- Don't pick the flashiest idea. The shiny feature might not fix the real problem. Stick to the bottleneck.
- Don't run three experiments at once. You'll split your team's focus and get muddy results. One at a time.
- Don't skip the guardrails. A win in activation that kills retention is a loss. Check your North Star and guardrails first.
- Don't use old data. Activation definitions drift. Use the event taxonomy you defined in the course to ensure clean data.
- Don't forget the segment. A single segment cut (like new users vs. returning) can reveal where activation really breaks.
Your Win by Friday
By Friday, you'll have one experiment picked, one bottleneck targeted, and one clear metric to watch. Your team will stop spinning and start moving. And honestly? That feels way better than another debate about which idea is "best."