Why this matters
You cannot improve what you cannot see. Analytics from day one tells you whether people sign up, come back, and reach the moment your product delivers value. Founders who add tracking "later" launch blind and then argue from anecdotes.
What "done" looks like
- A tool installed (Mixpanel, PostHog, Amplitude, any is fine) in the real product
- The handful of events that describe your value path are firing and verified
- Users are identified on login so journeys connect across sessions
- You can answer: how many signed up this week, and how many did the core action?
How to do it
- Define the value path first: signup → activation moment (your product's "aha") → repeat use. Write it down before creating any event.
- Track 5 to 10 events, no more: signup, login, the 2 to 4 core actions, and conversion. Every extra event is noise you will pay for later.
- Adopt a naming convention now (
object_verb, e.g.task_completed), renaming events later fragments history. - Identify users with your internal user ID, not email, so identities survive email changes.
- Verify in the live debugger that each event fires exactly once per action, then build one dashboard: signups, activation, retention.
Common mistakes
- Tracking everything "just in case" and trusting none of it later
- Only installing web analytics (page views) and calling it product analytics
- Never checking that events actually fire after a refactor
Real-world examples
- Mixpanel is an event-based product-analytics tool built exactly for this: you instrument events like signup, activation, purchase, and drop-off, then read them as funnels and retention curves instead of guessing. It runs a Mixpanel for Startups program that gives qualifying early-stage companies (under 5 years old, up to $8M raised) a free first year with up to 1B annual events, which is why so many startups wire it in before they have real traffic.
- The broadly-documented pattern is to instrument the signup and activation funnel from day one rather than retrofitting it later, you want to know where users fall off the first week you have users, not after months of blind shipping. This is the raw material behind measuring signup conversion.
- Alternatives like PostHog, Amplitude, or even a lightweight events table achieve the same goal; the tool matters far less than defining a handful of key events that map to your target user persona and tracking them consistently.
From a founder's point of view
Analytics feels like a "later" task until you realize you can't recover events you never tracked. Instrumenting a few core actions early is cheap insurance: it turns arguments about what users do into a chart anyone can read. The trap is the opposite extreme, tracking 200 events nobody looks at; pick the five that tell you whether the product is working and start there.
Rule of thumb
If you cannot name this week's signup count and activation rate from memory, your analytics setup is not done, or you are not looking at it.