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Founder Operator · Product Metrics Basics

Founder Operator: Prioritize Your Next Experiment with Product Metrics Basics

Stop guessing. Use activation data to pick the experiment that moves retention.

Who This Helps

You are a founder operator. You have a dozen ideas for the next experiment. But you only have time for one. This article shows you how to use the Product Metrics Basics program to pick the right one.

Mini Case

Meet Priya. She runs a SaaS app with 1,200 sign-ups last month. Activation is a mess. Some teams say activation is "user creates a project." Others say it's "user invites a teammate." Priya uses the Activation Definition mission from Product Metrics Basics. She picks one action (create a project) and one time window (7 days). Now she sees that only 32% of users activate. The team runs three experiments. One improves the onboarding flow. Another adds a tutorial video. The third changes the pricing page. Which one to run first?

Do This Now (5 Steps)

  1. Define activation clearly. Use the Activation Definition mission. Pick one event and one time window. For example: "user creates a project within 7 days."
  1. Check your event taxonomy. The Event Taxonomy mission helps you track the same event the same way everywhere. If your team tracks "sign up" three different ways, fix that first.
  1. Pick a North Star and guardrails. The Metrics Charter mission gives you one North Star metric and two guardrails. For Priya, North Star is "weekly active users." Guardrails are "support ticket volume" and "churn rate."
  1. Slice your data by segment. The Segment Snapshot mission shows you where activation breaks. Priya finds that users from organic search activate at 45%, but paid users activate at only 18%.
  1. Run the experiment on the weakest segment. Priya runs the onboarding experiment on paid users. After two weeks, activation for paid users jumps from 18% to 31%. That's a 72% improvement.

Avoid These Traps

  • Defining activation differently each week. Stick to one definition for at least 30 days.
  • Running three experiments at once. You won't know which one worked.
  • Ignoring guardrails. The onboarding experiment increased activation but also doubled support tickets. The guardrail caught it.
  • Looking at aggregate data only. The segment snapshot saved Priya from wasting time on organic users who were already fine.

Your Win by Friday

By Friday, you will have one activation definition, one segment to focus on, and one experiment to run. Your team will stop debating and start moving. And you will know exactly which move matters most. That's the kind of week that feels like progress, not just motion.