Who This Helps
Product managers who want to turn product questions into measurable decisions. If you're tired of debating which experiment to run next, this is for you.
Mini Case
Meet Priya. She's a PM at a SaaS startup. Her team has three experiment ideas: improve onboarding, add a new feature, and tweak pricing. They can only run one this sprint. Priya uses activation metrics from the Product Metrics Basics course to decide.
She defines activation as "user completes step 3 within 7 days." Then she checks the data. Onboarding has a 12% activation rate. The new feature? 8%. Pricing tweak? 5%. She picks onboarding. That's the highest-impact move.
Do This Now (5 Steps)
- Pick one metric. Choose activation, retention, or adoption. Start with activation.
- Define it clearly. One event + one time window. Example: "User uploads a file within 3 days."
- Check your data. Pull a segment snapshot. Look for where activation breaks.
- Rank your experiments. Score each idea by how much it could move that metric.
- Run the top one. Focus effort on the highest-impact move. No distractions.
Avoid These Traps
- Defining activation differently each week. Stick to one definition for at least a month.
- Chasing vanity metrics. Total signups don't tell you if users stick.
- Running too many experiments. One focused test beats three half-baked ones.
- Ignoring guardrails. Don't optimize activation if it kills retention.
- Skipping the event taxonomy. If your team tracks the same action three ways, fix that first.
- Waiting for perfect data. Use what you have. Improve later.
- Forgetting the time window. "Activation" without a deadline is just a wish.
- Not sharing the decision. Tell your team why you picked one experiment over others.
Your Win by Friday
By Friday, you'll have one clear experiment prioritized. You'll know exactly which metric it targets and why it matters. Your team will stop guessing and start moving. That's a win.