Product Metrics Fundamentals
Part of the Product Management Roadmap
In short
Without numbers, every product debate is just opinions. Metrics tell you what users actually do, so you can spot problems early and prove that your work helped.
The vocabulary every PM needs — DAU/MAU, activation, retention, churn, conversion rate — and the discipline of picking a small number of metrics that actually matter over a dashboard full of vanity numbers.
Think of it like this
Your scooter's dashboard
The speedometer shows how fast you're going now. The fuel gauge warns you before you're stranded. The odometer shows total distance, nice to know but useless for today's ride. Product metrics work the same way.
Watch it happen
Vanity numbers vs useful ones
1/5Five numbers from a shopping app's weekly report. Which ones would actually change a decision?
The big ideas
What you need to know
Rates beat totals
"40% came back" tells you more than "10,000 users". Totals rise even when the product gets worse.
Avoid vanity metrics
If a number can only go up, or doesn't change any decision, it's vanity. Report it, but don't steer by it.
Tie metrics to a goal
Pick metrics that show whether users got value and whether the business benefited.
Define them precisely
"Active user" must mean the same thing to everyone. Write down the exact rule.
Save yourself the pain
Common mistakes
Oops
Celebrating a jump in downloads after a big ad campaign.
Do this instead
Check what happened next. Did those users activate and come back, or vanish after day one?
Oops
Tracking 40 metrics in a weekly review.
Do this instead
Pick a handful tied to your goals. Look at the rest only when investigating something.
Your mission
Sort the numbers
Quick check
Which metric is most useful for spotting a broken onboarding flow?
Go deeper
- 1Define DAU, MAU, and DAU/MAU ratio (stickiness) in your own words.
- 2Identify one vanity metric and one actionable metric for a product you use.
- 3Practice explaining why a metric moved, not just that it moved.
More topics at this stop
AARRR / Pirate Metrics
North Star Metric Design
Leading vs Lagging Indicators
Funnel Analysis
Cohort Analysis
Retention Curves
SQL Basics for PMs
Analytics Tools (Amplitude, Mixpanel, GA4)
Building Dashboards
Statistical Significance Basics
Defining Success Metrics for a Feature
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