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How to be the go-to engineer for product analytics

Mixpanel

As data-driven product development continues to balloon in popularity, so does the need for accurate and sophisticated implementation of analytics tracking in software products. And this pattern creates lots of problems —both for the engineering team and the product itself. But what if you could save everyone from this insidious peril?

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Always implement analytics as part of feature development. Here’s why.

Mixpanel

When engineers implement features, they write code. When engineers add analytics events to new features, they add additional analytics code to their new feature code. This is when they should make changes to the code like implementing analytics because this is when their understanding of the code is at its peak.