The ultimate guide to product analytics interviews. Strategies developed by FAANG engineers to craft structured, impactful answers and increase your chances of landing a data science job.

Product analytics interviews evaluate your skills and creativity as an aspiring data analyst. Interview questions evaluate if you can use your technical knowledge to guide the further development of a product. Learning how to answer these questions is crucial to ace most job interviews for data scientists and analysts.

In this course, you’ll first gain an overview of what product analytics interviews look like and what kinds of questions usually come up. Next, you’ll learn to use a framework for answering product analytics questions, showcasing your analytical skills. Finally, you’ll learn how to apply said framework to different kinds of product analytics interview questions by looking at several examples.

With this course, you’ll increase your chances of landing a job in data science by learning how to effectively answer product analytics interview questions. You’ll be able to provide well-structured and well-communicated answers, and show you can creatively tackle any business problem you may face.

Ace the Product Analytics Job Interview

# Problem

[Let's say you work on the growth team at Facebook and are tasked with promoting Instagram from within the Facebook app. Where and how could you promote Instagram through Facebook?](https://www.interviewquery.com/questions/promoting-instagram)

Try answering this on your own before continuing. Use the hints below if you are stuck.



Form a hypothesis for how to grow Instagram. What type of test would be most effective in proving your hypothesis? 

How would you design it?

Say you ran your tests to prove your hypothesis. What data points could you provide to measure the success? 

Can you create any metrics?



Consider analyzing the volume of friends it takes for Facebook users to switch to Instagram. 

How would you use this data to get more users to switch?

# Solution

This product question focuses on growth and is used for Facebook’s growth marketing analyst technical screen. Here are a couple of things that we have to remember.

Like usual product questions where we analyze a problem and come up with a solution with data, we have to do the same with growth, except we have to come up with solutions in the form of growth ideas and provide data points for how they might support our hypothesis.


Here's an example:

 Try to solve this question to test your understanding of the material.


Sample Question: Promoting Instagram

Try to solve this question to test your understanding of the material.

Introduction

Investigating Metrics

Fractional Metrics

Measuring Success

Feature Change

Metric Trade-Offs

Growth

Conclusion

Sample Question: Promoting Instagram

Problem

Solution