Prioritize Experiments: Activation Metrics for Pms

Who This Helps

This is for product managers who have a backlog full of experiment ideas and no clear way to pick the winner. You want to stop debating opinions and start betting on data.

Mini Case

Meet Priya. She manages a SaaS product with 10,000 sign-ups last month. Her team has 12 experiment ideas, but only capacity for one this sprint. Priya uses the activation metric from the Product Metrics Basics course: she defines activation as "complete the onboarding wizard within 7 days." Only 22% of users hit that. She picks the experiment that targets the biggest drop-off step in the wizard. Result: activation jumps to 34% in two weeks.

Do This Now (5 Steps)

1. Define your activation event. Pick one action and one time window. For example, "upload first file within 3 days." This is your anchor.

1. List your top 3 experiment ideas. Write each one on a sticky note. No judgment yet.

1. Score each idea against activation. Ask: "If this works, will it directly increase the activation rate?" Give each a yes, maybe, or no.

1. Pick the yes. That's your highest-impact move. If you have multiple yeses, pick the one that costs the least engineering time.

1. Run it for 7 days. Measure activation before and after. If it moves by at least 5%, keep it. If not, try the next idea.

Avoid These Traps

• Picking the flashy idea. The one that sounds cool in stand-up is not always the one that moves activation.
• Using too many metrics. Stick to one activation metric. If you track 5 things, you'll optimize for none.
• Ignoring the time window. Activation without a time limit is just a wish. A 7-day window keeps you honest.
• Changing the definition mid-experiment. If you move the goalpost, you'll never know what worked.
• Running more than one experiment at a time. You won't know which change caused the lift.

Your Win by Friday

By Friday, you will have one clear experiment to run. You'll know exactly which metric it targets and how you'll measure success. No more debate. No more backlog paralysis. Just one bet that moves activation from 22% to 34%.