What is Analytics?

Analytics is the practice of turning raw product and business data into decisions you would not have made otherwise.

How does analytics work?

You instrument events, collect them, and shape them into metrics you can compare across time and across cohorts. A working stack answers three questions: what happened, why it happened, and what to do about it. Most tools handle the first well, the second partly, and the third not at all. That last step stays yours.

Why does analytics matter?

Opinions in a startup are cheap and loud. Analytics settles arguments that would otherwise be won by whoever talks longest. It also surfaces what nobody thought to ask, like the onboarding step where half your signups quietly disappear.

Where did analytics come from?

Analytics grew out of statistics and operations research, then exploded when web software made every click recordable. Frameworks like AARRR pirate metrics gave founders a standard shape for the funnel.

How do you use analytics well?

Pick a small set of metrics that map to real behavior and defend them from vanity. An actionable metric ties to a decision. A vanity metric only ties to a feeling. Segment before you conclude, because an average hides two different groups more often than it describes one. Then write down the decision each dashboard exists to inform. If you cannot name it, delete the dashboard.

Bottom line: Analytics is worthless until a number changes what someone does on Monday.

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