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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. You’d be celebrated.

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Why it’s never too early to add product analytics to your app

Mixpanel

So it’s tempting to think the additional add-on of measuring user events in your code (i.e., This is a very compelling story (especially if you’ve got only one or two engineers or developers on your team who may or may not include yourself). If you don’t get your features built, you won’t have an app to launch, right?

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

Mixpanel

Here are eight reasons you should always implement your analytics in the same sprint as your feature development and not at a separate time after development is complete. When engineers implement features, they write code. Implementation is better with less context-switching. This is a multi-team waste fest!

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Data thinking vs. product thinking

Mixpanel

Data has fundamentally changed how we design and develop products, but there’s a difference between simply reacting to data points and applying the level of analytic rigor needed to yield meaningful results. There’s an enormous amount of ambiguity when it comes to developing products. Here’s how. Create counter metrics.

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User friction can sink your app. Here’s what it is and how to avoid it.

Mixpanel

As a product manager or developer, you want to squash user friction from your app. That starts with hiring seasoned experts, even if only for review of more junior work. He’s also given technical interviews to 1,400 software engineers who have gone on to accept roles at Apple, Dropbox, Yelp, and other major Bay Area firms.