Who This Helps
This is for growth marketers who track 20 numbers but still don't know which lever to pull. You want to move channel metrics without guesswork. The Metrics & Dashboards Basics program is built for you.
Mini Case
Meet Maya. She runs growth at a SaaS startup. Her team tracks 20 numbers. Every Monday, they argue about what to test next. Sound familiar?
Maya completed the Weekly Scoreboard mission in the program. She defined her North Star metric, picked 3 supporting metrics, and set realistic targets. Now her Monday meetings take 15 minutes. She knows exactly which experiment to prioritize.
Last month, she ran a test that increased trial-to-paid conversion by 12% in 7 days. No guesswork. Just a clear signal from her scoreboard.
Do This Now (5 Steps)
- Pick your North Star metric. Choose one primary metric that defines success for your channel. For Maya, it was weekly active users.
- Define 3 supporting metrics. These are leading indicators. For example, sign-ups, activation rate, and referral invites.
- Set realistic targets. Use past data. If your activation rate is 30%, aim for 35% in 4 weeks. Not 90%.
- Build a weekly scoreboard. List your North Star metric, supporting metrics, and targets. Update it every Monday. Keep it simple.
- Add guardrails. Set alerts for metrics that drop below a threshold. If activation falls under 25%, pause all experiments and investigate.
Avoid These Traps
- Tracking too many numbers. Stick to 4-5 metrics max. More noise, less signal.
- Changing targets every week. Give your experiment at least 2 weeks to show impact.
- Ignoring guardrails. A sudden drop in a supporting metric can kill your North Star. Watch it.
- Overcomplicating the dashboard. A cluttered dashboard leads to analysis paralysis. Keep it clean.
- Not aligning with your team. Make sure everyone agrees on the metrics and targets before you start.
Your Win by Friday
By Friday, you will have a clear weekly scoreboard with your North Star metric, 3 supporting metrics, and realistic targets. You will know exactly which experiment to prioritize next. No more guesswork. Just calm, data-driven decisions.
And hey, you might even free up an hour of your Monday morning. That's a win.