Who This Helps
This is for junior analysts who want to stop drowning in numbers and start shipping analysis that actually gets approved. If you've ever stared at a dashboard and thought, "Now what?" — this is your fix. The Metrics & Dashboards Basics course is built for exactly this moment.
Mini Case
Meet Maya. She's a junior analyst at a fast-growing SaaS company. Her team tracks 20 different metrics every week, but nobody agrees on what matters most. Last month, Maya spent 12 hours building a dashboard that confused everyone. The CEO asked for a recommendation, and Maya froze. Sound familiar?
Maya took the Metrics & Dashboards Basics course. She started with the North Star Metric mission and picked one primary metric: weekly active users (WAU). Then she defined 3 supporting metrics (sign-ups, retention rate, churn rate) with realistic targets. Her weekly scoreboard now shows only 5 numbers. The CEO loves it. Her recommendations get approved in 2 days instead of 7.
Do This Now (5 Steps)
- Pick your North Star Metric. Choose one number that captures your team's main goal. For Maya, it was WAU. Keep it simple.
- Define 3 supporting metrics. These help explain why your North Star moves. Think sign-ups, retention, or churn. Set a target for each (e.g., 80% retention).
- Build a weekly scoreboard. List your 4 metrics (1 North Star + 3 supporting) in a clean table. Add guardrails: green if on target, yellow if close, red if off.
- Design a clear dashboard layout. Group related metrics together. Use sections like "Growth" and "Retention." Remove anything that doesn't help a decision.
- Write one clear recommendation. Based on your scoreboard, say what to do next. Example: "Increase onboarding emails to reduce churn by 10%."
Avoid These Traps
- Tracking too many numbers. More data doesn't mean better decisions. Stick to 4-5 metrics max.
- Vague definitions. "Active users" means nothing without a clear definition (e.g., logged in within 7 days).
- No targets. Without a target, you can't tell if you're winning or losing.
- Cluttered dashboards. A dashboard is not a data dump. Every chart should answer one question.
- Skipping the recommendation. Analysis without a recommendation is just noise. Always end with a clear next step.
- Ignoring guardrails. Set alerts for when metrics go red. Don't wait for a crisis.
- Forgetting the audience. Your boss doesn't care about your SQL query. They care about what to do.
- Overcomplicating visuals. A simple bar chart beats a fancy scatter plot every time.
Your Win by Friday
By Friday, you'll have a one-page weekly scoreboard with your North Star metric, 3 supporting metrics, and a clear recommendation. Your team will stop arguing about what to track. Your boss will say yes to your next idea. And you'll feel like the analyst who actually makes things happen — not just the one who makes charts.
Plus, you'll finally understand why Maya's CEO smiled. That's a good feeling.