Who This Helps
This is for junior analysts who want their work to actually get used. You've done the numbers, now you need to get the green light. The Metrics & Dashboards Basics course shows you how to build a metric system you trust and a dashboard that supports calm weekly decisions.
Mini Case
Maya, a junior analyst, tracked 20 numbers every week. Her team was overwhelmed. She used the course to pick one North Star metric and three supporting metrics with realistic targets. Result: her weekly report went from ignored to approved in one meeting. Her recommendation to cut two low-performing channels saved 12% of the budget in 7 days.
Do This Now (5 Steps)
- Pick your North Star metric. Choose one number that matters most. Maya picked "weekly active users."
- Define three supporting metrics. These back up your main metric. For Maya: sign-ups, retention rate, and average session time.
- Set realistic targets. Use past data to set a target you can hit. Maya set a 5% increase in retention over 30 days.
- Build a weekly scoreboard. List your metrics, targets, and actuals. Update it every Monday. Add guardrails: if retention drops below 70%, flag it.
- Write one clear recommendation. Based on your scoreboard, suggest one action. Maya recommended re-engaging users who hadn't logged in for 14 days.
Avoid These Traps
- Tracking too many metrics. Stick to 4-5 numbers. More than that and you lose focus.
- Vague targets. "Improve engagement" is not a target. Use numbers: "increase average session time by 10%."
- No guardrails. Without alerts, you miss problems until it's too late. Set a threshold for each metric.
- Cluttered dashboards. Less is more. Use sections: primary metric, supporting metrics, and alerts.
- Skipping the recommendation. Data without action is just noise. Always end with a clear next step.
Your Win by Friday
By Friday, you will have a one-page dashboard with your North Star metric, three supporting metrics, targets, and one recommendation. Your team will see the problem and the fix in under 60 seconds. That's how you turn analysis into approved execution. And honestly, it feels great when your boss says "yes" instead of "let me think about it."