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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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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., At the same time, when you review the product analytics, you notice four out of five are using the biggest feature incorrectly. Say, for example, you just launched your app with three features that you believe are going to be a big hit.

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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.

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Data thinking vs. product thinking

Mixpanel

UX design, branding, feature-set, nuanced differences in user perspectives, and a million other variables can impact (with varying levels of influence) whether our products get used or ignored. Here’s how. Understand the role of data with nuance. There’s an enormous amount of ambiguity when it comes to developing products.

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

Mixpanel

Bad user experience (UX) design is a big source of user friction, but it’s not the whole story. Sure, if your user interface disregards UX best practices and is actively difficult to use, you’ll have so much user friction that you will abdicate the privilege of having users. Your UX design needs to be clear and to the point.