Who This Helps
You're a Junior Analyst who wants to stop copy-pasting numbers every week. You want to ship a clean analysis with clear recommendations—without the boring update work. The Metrics & Dashboards Basics course is your shortcut.
Mini Case
Meet Maya. She's a Junior Analyst at a small SaaS company. Every Monday, she spends 2 hours updating a spreadsheet with 20 metrics. Then she builds a slide deck. By Friday, her boss asks for new numbers. Sound familiar?
Maya took the Metrics & Dashboards Basics course and focused on the "Weekly Scoreboard" mission. She automated the data pull using a simple AI script. Now her Monday update takes 15 minutes. She saves 1.75 hours per week—that's 91 hours a year.
Do This Now (5 Steps)
- Pick your North Star metric. In the course, Maya chose "Weekly Active Users" as her primary metric. You need one clear number that matters most.
- Define 3 supporting metrics. For Maya, those were sign-ups, churn rate, and feature adoption. These give context to your North Star.
- Set realistic targets. Maya set a target of 5% growth in Weekly Active Users each week. Without a target, a number is just noise.
- Build a weekly scoreboard. Use a simple dashboard tool (like Google Sheets or a BI tool). List your North Star, supporting metrics, and targets in one view. Add a green/yellow/red status for each.
- Automate the data refresh. Use AI to connect your data source to the dashboard. Set it to update every Monday morning. Now your scoreboard is always fresh.
Avoid These Traps
- Tracking too many numbers. Stick to 4-5 metrics max. More than that and you lose focus.
- No target for each metric. A number without a target is just a number. Always ask: "Is this good or bad?"
- Manual updates forever. If you spend more than 30 minutes updating a report, automate it. Your future self will thank you.
- Ignoring context. A 10% drop in sign-ups might be fine if you changed the pricing page. Always add a note.
Your Win by Friday
By Friday, you'll have a weekly scoreboard that updates itself. You'll spend less time on data entry and more time on analysis. Your boss will see clean recommendations—not a messy spreadsheet. And you'll feel like a superhero (cape optional).