Who This Helps
Product managers who spend hours updating dashboards every week. You want to stop copying data and start making decisions. The Metrics & Dashboards Basics course shows you how.
Mini Case
Maya, a product manager, tracked 20 numbers every Monday. She spent 3 hours pulling data from three tools. After automating her weekly scoreboard, she cut that time to 15 minutes. Her team now reviews one clear metric tree each week.
Do This Now (5 Steps)
- Pick one North Star metric. Start with the metric that matters most. Maya chose "active users per week."
- Define three supporting metrics. These explain why your North Star moves. Maya added sign-ups, retention rate, and feature usage.
- Set realistic targets. Use past data to set a target for each metric. Aim for a 12% improvement in 90 days.
- Build a weekly scoreboard. Use a simple dashboard with guardrails. When a metric drops below target, flag it automatically.
- Let AI handle updates. Connect your data sources once. AI refreshes your dashboard every week. You just review and decide.
Avoid These Traps
- Tracking too many numbers. Stick to 4-5 metrics. More noise, less action.
- Vague metric definitions. Define each metric clearly. Maya learned this after her team argued over "engagement."
- Skipping targets. Without targets, you don't know if you're winning or losing.
- Manual updates. Don't copy-paste data. Automate it once and save hours.
Your Win by Friday
By Friday, you will have one North Star metric, three supporting metrics with targets, and a weekly scoreboard that updates itself. You will spend 15 minutes reviewing instead of 3 hours updating. That is a win.