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How to be the go-to engineer for product analytics

Mixpanel

Engineers are always looking for ways to differentiate themselves. 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. One of those niches that’s become more valuable in recent years: product analytics.

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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). Remember, product analytics involves tracking events in your app. Sure you would.

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

Mixpanel

As new features are added to your products, so should new analytics events be added to your codebases. 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.

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Data thinking vs. product thinking

Mixpanel

However, if we built an event funnel in our product analytics, one that examines what users are doing several steps before potentially reaching the chat feature, we might find that the engagement drop-off was actually happening a screen or two earlier, maybe due to a poorly designed series of buttons or UI flow. Create counter metrics.

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

Mixpanel

That’s because you can track all events that a user takes in your product (in order) and then measure what you expect to see against what actually happens. App performance needs to be top priority for your engineering teams, especially for commercial apps. Detecting user friction with product analytics. Unexpected drop-off.