Mixpanel

OCTOBER 5, 2021

The good news is that many technical quirks tend to follow certain patterns that can be easily spotted—even by non-engineers. Here are four technical hiccups associated with corrupt event tracking data, how to spot them, and what to do about them. As they say—garbage in, garbage out. Event stuttering. Disjoint event duplicates.

Technical Cofounder 98

Technical Cofounder Data Visualization Analytic Tools Events 98

Mixpanel

FEBRUARY 3, 2022

So it’s tempting to think the additional add-on of measuring user events in your code (i.e., implementing product analytics) is something that can wait until your team is bigger, until you have more users, or until you have more money. You know where users clicked and didn’t click, when they clicked, and in what order.

Analytic Tools 64

Analytic Tools Data Visualization Feedback Software Technical Cofounder 64

Mixpanel

JANUARY 3, 2022

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. Keep the product folks technically up-to-date. One of those niches that’s become more valuable in recent years: product analytics.

Analytic Tools 59

Analytic Tools Data Visualization Engineering Weak Development Team 59

Mixpanel

JULY 26, 2022

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. Analytics should be tested alongside features. Implementation is better with less context-switching.

Analytic Tools 59

Analytic Tools Data Visualization Technical Cofounder Technical Review 59

Mixpanel

MARCH 3, 2022

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. But you’d be wrong.

Data Visualization 114

Data Visualization Analytic Tools Technical Cofounder Weak Development Team 114

Mixpanel

OCTOBER 21, 2021

Rather than a UITableViewController with accompanying storyboard and custom UITableViewCell subclasses, all we need now is a binding to a list of tasks and 10-ish lines of actual code: struct TaskListView: View {. Use custom event initializers to reduce footprint. Use custom view modifiers for more logical grouping. onDrag {. }.onDrop

Data Visualization 72

Data Visualization Analytic Tools Events Reporting Tools 72