Who This Helps
This is for junior analysts who want to stop spinning on low-impact experiments. You want to ship clean analysis with clear recommendations. The Metrics & Dashboards Basics course helps you build a metric system you trust.
Mini Case
Maya tracks 20 numbers every week. She picks one primary metric: weekly active users. Last month, she saw a 12% drop. She ran 3 experiments to fix it. Only one moved the needle. She saved 7 days of wasted effort.
Do This Now (5 Steps)
- Pick your North Star metric. One number that matters most.
- List 3 supporting metrics that explain why it moves.
- Set realistic targets for each metric.
- Build a weekly scoreboard with guardrails.
- Run one experiment at a time. Measure impact before the next.
Avoid These Traps
- Tracking too many numbers. Stick to 4-5 max.
- Changing metrics mid-week. Keep your North Star steady.
- Running experiments without a clear hypothesis. Write it down first.
- Ignoring guardrails. They catch bad surprises.
- Forgetting to celebrate small wins. Even a 2% lift counts.
Your Win by Friday
By Friday, you will have a clean analysis with one clear recommendation. You will know which experiment to run next. Your team will thank you. And you will feel like a data superhero (cape optional).