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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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How to be the go-to engineer for product analytics

Mixpanel

The point is that some of these might be catchable by non-technical team members whose job it is to analyze the data, but a lot of cases could only ever be noticed by someone who understands how the implementation actually works on a technical level: an engineer like yourself. Keep the product folks technically up-to-date.

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

Mixpanel

This means that when they finally start testing analytics, they need to do additional work to get themselves back in the headspace of the feature’s requirements and how it works, just like the engineers implementing the feature in the first place. Engineers are technical. This is a multi-team waste fest!

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

Mixpanel

At the same time, when you review the product analytics, you notice four out of five are using the biggest feature incorrectly. Joseph is the founder of App Boss , a knowledge source for idea people (with little or no tech background) to turn their apps into viable businesses.

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

Mixpanel

That starts with hiring seasoned experts, even if only for review of more junior work. Joseph is the founder of App Boss , a knowledge source for idea people (with little or no tech background) to turn their apps into viable businesses. Prioritize UX.