Who This Helps
This is for product managers who spend Monday mornings copying numbers into a dashboard. You want to ask better questions, not chase stale data. The Metrics & Dashboards Basics course shows you how to build a system you trust.
Mini Case
Maya manages a SaaS product. Her team tracks 20 metrics, but she only needs one primary number: the North Star Metric. She spent 3 hours each week updating a spreadsheet. After automating with AI, she cut that to 15 minutes. Her weekly scoreboard now updates itself, and she spots trends 12% faster.
Do This Now (5 Steps)
- Pick your North Star Metric. Choose one number that tells you if your product is healthy. Maya picked weekly active users.
- Define 3 supporting metrics. These explain why your North Star moved. Maya used sign-ups, activation rate, and retention.
- Set realistic targets. Don't guess. Use last quarter's average as a starting point. Maya set a 5% growth target.
- Build a weekly scoreboard. List your metrics, targets, and current values. Use AI to pull data from your analytics tool automatically.
- Add guardrails. Set alerts for when a metric drops 10% below target. AI can send you a Slack message instantly.
Avoid These Traps
- Tracking too many numbers. Stick to 4-5 metrics max.
- Updating manually. Let AI handle the boring part.
- Ignoring context. A number without a target is just noise.
- Cluttered dashboards. Use clear sections like Acquisition, Activation, and Retention.
Your Win by Friday
By Friday, you will have a working weekly scoreboard that updates itself. You will spend less time copying data and more time asking "why." That is a calm, confident way to make decisions.