Mixpanel

OCTOBER 5, 2021

You can spend all the time in the world devising a thoughtful, nuanced analytics strategy for your product analytics, but if your event tracking isn’t set up behind the scenes just how you need it, some (or all) of your data might be rendered far less helpful than you’d like. So why could that happen from a technical standpoint?

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Mixpanel

MARCH 3, 2022

Both data thinking at the micro level and product thinking at the macro level need to be synthesized in order to achieve truly breakthrough design in your digital products. There’s an enormous amount of ambiguity when it comes to developing products. Here’s how. Understand the role of data with nuance.

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Mixpanel

MAY 19, 2022

It’s the primary technique used to capture usage information by product analytics platforms like Mixpanel. It’s, therefore, essential for you, as a product manager, designer, or any kind of product stakeholder, to have a sophisticated understanding of how event tracking works so you can, well, know what’s happening in your mobile app.

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Mixpanel

SEPTEMBER 15, 2021

And that makes it possible to get into all the benefits of a sophisticated platform like Mixpanel with little technical risk—even if for only a trial run and/or to use it alongside other tools like GA. Here’s how you (or your app developer team) can do it. As a matter of principle, abstract-away your dependencies.

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Mixpanel

JANUARY 3, 2022

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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Mixpanel

FEBRUARY 3, 2022

He’s been developing apps for almost as long as the App Store has existed—wearing every hat from full-time engineer to product manager, UX designer, founder, content creator, and technical cofounder.

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Mixpanel

JULY 26, 2022

But since engineers and product folks tend to have such different values and perspectives, nuance is often lost in translation as the product team attempts to define stories and epics for engineering. Engineers are technical. Analytics, however, can help with this.

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