Growth & Marketing

What early growth mistakes should a first-time non-technical founder avoid when reading their metrics?

A starting point

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

Hand-picked from around the web, each with a note on why it earns your time.

3 resources 3 link-checked Watch Read

Watch

▶️ Video
✓ Link checked Free Beginner

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.

Nine Business Models and the Metrics Investors Want

On Y Combinator Startup School by Anu Hariharan

  • 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.
Watch on YouTube youtube.com

Read

📄 Article
✓ Link checked Free Intermediate

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.

16 Startup Metrics

From a16z by Andreessen Horowitz (a16z) ~15 min read

  • Size markets bottom-up from customer count and willingness to pay
  • Know the metrics that actually signal a healthy business
  • Distinguish real traction from vanity metrics
  • Use consistent definitions when comparing yourself to the market
Open a16z.com
📄 Article
✓ Link checked Free Beginner

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.

Vanity Metrics vs. Actionable Metrics

From The Blog of Tim Ferriss by Eric Ries 10 minute read

  • 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.
Open tim.blog

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