Drazen Zaric

In my 10+ years in software I've made parts of MS Office, built data tooling and did data science for products with 100+ mil. users Here I summarize the best lessons from the industry.

A/B Testing for Practical Significance

When doing statistical hypothesis testing, the math behind it gives us the toolset to determine the statistical significance of our observations. But if we're doing a two-sample test on a simple hypothesis, rejecting it won't tell us anything about the magnitude of the difference.

Kano Model Examples - Build Great Products With a Simple Mental Model

When in 2007 Steve Jobs first showed the original iPhone it seemed out of this world. Watch the event video and pay attention to the crowd reaction when Jobs shows pinch-to-zoom or when the phone automatically switches to landscape mode when he flips it in his hand. It was unbelievable.

Marketing Data Science - Case Studies from Airbnb, Lyft, Doordash

In this article we'll look at several case data science case studies from marketing optimization efforts at companies like Lyft, Airbnb, Netflix, Doordash, Wolt, Rovio Entertainment.

Designing Your Engineering Interview Process? Here's What You Need to Consider

If you simply take the standard format for the interviews, you could soon find yourself thinking about how to improve the process. You might find it slow and tedious; you could start seeing evaluations for the same candidate that widely differ or get negative feedback from candidates.

Code Review Best Practices - Lessons from the Trenches

In this article we'll go over learnings shared by engineers from companies such as PayPal, Palantir, Medium, Shopify. Why do code reviews and how they help your team develop?