What early growth mistakes should a first-time non-technical founder avoid when reading their metrics?
The short answer
The three that catch most people: celebrating cumulative totals (signups only ever go up, so they tell you nothing), averaging across cohorts so a decaying product looks stable, and optimizing a metric you can move without creating value (like sending more emails to lift opens). Always look at cohorts over time and ask whether the metric moving means a user got more value, if not, you are polishing a vanity number. When in doubt, trust retention and revenue over reach.
Go deeper, your way
3 hand-picked resources, 3 link-checked. Pick how you want to dig in.
▶️ Video
✓ Link checkedFreeBeginner
Why we picked it
Anu Hariharan walks through the two or three metrics that actually matter at the earliest stage depending on how you make money, which spares a first-time founder from drowning in a dashboard of numbers that do not decide anything. Her clearest warning is the one non-technical founders miss most: never report a metric without defining it, since a company once reported daily active users that really meant emails sent. It is a trusted, founder-facing primer, so use it to pick your three real numbers before you argue about the rest.
At the earliest stage only two or three metrics matter, and revenue (or, if you do not charge yet, a clear definition of the core user action) is usually the truest one.
Always define what active means and always show the absolute number alongside the percentage, because an undefined or relative metric quietly misleads you and everyone reading it.
Which metrics matter depends on your business model, so match your handful of numbers to how you actually charge rather than copying another startup's dashboard.
Why we picked it
The reference primer on the metrics and market-sizing logic investors use, including bottom-up market sizing that keeps founders honest about how big a market really is. Canonical a16z source.
Why we picked it
This is the piece that named the problem you are asking about: the difference between numbers that make you feel good and numbers you can actually act on. Eric Ries (the Lean Startup guy) wrote it as a guest post, and it is still the clearest short read on why a traffic spike or an upvote count tells you almost nothing. Treat it as a starting point for deciding which one or two numbers your launch should live or die by.
A metric is only useful if a change in it tells you what to do next. Total hits and signup counts almost never pass that test.
Cohort analysis (following a group of users through registration, trial, and purchase over time) shows whether your launch actually changed behaviour, or just briefly inflated the top of the funnel.
Look at per-customer and per-segment numbers, not one big aggregate, because a healthy total can hide the churn and drop-off that decide whether a launch worked.
