Who This Helps
This is for product managers who have a dozen ideas and zero clarity on which one to test first. You want to turn product questions into measurable decisions without drowning in data. The Metrics & Dashboards Basics program is built exactly for this moment.
Mini Case
Meet Maya. She manages a SaaS product with 20 tracked metrics. Her team debates three experiments every sprint. Last month, she spent 7 days building a dashboard that showed everything—and learned nothing. After applying the Weekly Scoreboard mission from the program, she picked one primary metric: activation rate. She set a target of 12% improvement. Her next experiment? A simplified onboarding flow. Result: 8% lift in activation in two weeks. No noise. Just a clear decision.
Do This Now (5 Steps)
- Pick your North Star metric. Choose one number that captures the core value your product delivers. Keep it simple.
- Define three supporting metrics. These should explain why your North Star moves. For example, signups, feature adoption, and retention.
- Set realistic targets. Use past data or industry benchmarks. Aim for a 10-15% improvement over 30 days.
- Build a weekly scoreboard. List your primary metric and supporting ones. Update it every Monday. No more daily fire drills.
- Run one experiment per sprint. Use the scoreboard to decide which hypothesis has the highest potential impact. Test it. Measure it. Learn.
Avoid These Traps
- Tracking everything. If you have 20 metrics, you have none. Cut to five or fewer.
- Changing metrics weekly. Stick with your North Star for at least one quarter. Consistency builds trust.
- Ignoring guardrails. Set alerts for metrics that signal trouble (e.g., crash in signups). React fast, but don't panic.
- Overcomplicating the dashboard. A cluttered layout hides insights. Use clear sections: primary, supporting, and alerts.
- Running experiments without a hypothesis. Always state: "If we do X, then Y will happen by Z amount."
Your Win by Friday
By Friday, you will have one primary metric, three supporting metrics with targets, and a clear experiment to run next week. That's it. No more guessing. No more debate. Just a calm, data-backed decision. And hey, you might even reclaim an hour of your week for a real lunch break.