Who This Helps
You're a team lead who wants to turn analysis into approved execution. Your team tracks 20 numbers, but nobody knows which one matters most. The Metrics & Dashboards Basics program is built for exactly this moment.
Mini Case
Meet Maya. She leads a product team that updates a dashboard every Monday. But the updates are noisy — 12% of her team ignores the data because it's cluttered. She picks one North Star metric, defines 3 supporting metrics with realistic targets, and builds a weekly scoreboard with guardrails. In 7 days, her team stops arguing about what to look at and starts acting on the insights. Approval from stakeholders? Done.
Do This Now (5 Steps)
- Pick one North Star metric. Ask: What single number tells us we're winning? Write a clear definition so everyone agrees.
- Define 3 supporting metrics. These are the levers that move your North Star. Set a realistic target for each — for example, increase conversion by 5% this quarter.
- Build a weekly scoreboard. Keep it simple: one page, 4 metrics max, updated every Monday. Add guardrails (red/yellow/green) so you know when to act.
- Design a clear dashboard layout. Group related metrics together. Put your North Star on top. Remove anything that doesn't help you decide.
- Fix one misleading chart. Look for axes that start at zero, missing labels, or data that hides the trend. Fix it before your next meeting.
Avoid These Traps
- Tracking too many numbers. If you have 20 metrics, nobody knows what's important. Cut to 4.
- Vague definitions. "Revenue" isn't enough. Specify: net revenue after refunds, weekly, for active customers.
- No targets. A metric without a target is just a number. Add a realistic goal.
- Cluttered dashboards. Too many charts = noise. Use sections to guide the eye.
- Ignoring guardrails. Without alerts, you'll miss early warning signs. Set a threshold and check it weekly.
Your Win by Friday
By Friday, you'll have a North Star metric card, a metric tree with targets, and a weekly scoreboard dashboard. Your team will spend less time arguing about data and more time executing. And your stakeholders will say yes faster — because you're showing them what matters.