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

## Clarify the goals of the business or product

Given the situation, we should remember that the overall goal is to prioritize certain metrics over others. The only way to prioritize metrics is to relate them to the original goal of the product and figure out which metric is the best indicator for the product goal.

## Hypothesize and break down the metrics

First, hypothesize why each metric could be going up or down for each metric. Then, list exactly how much it matters that each metric goes up or down. Many times these metrics are related to each other.

## Summarize the results

Provide a conclusion on which metric matters, why both metrics matter, or why both metrics don’t matter. Then provide a solution based on your findings.

# Clarify the goals of the business or product

Given the situation, we should remember that the overall goal is to prioritize certain metrics over others. The only way to prioritize metrics is to relate them to the original goal of the product and figure out which metric is the best indicator for the product goal.

# Hypothesize and break down the metrics

First, hypothesize why each metric could be going up or down for each metric. Then, list exactly how much it matters that each metric goes up or down. Many times these metrics are related to each other.

# Summarize the results

Provide a conclusion on which metric matters, why both metrics matter, or why both metrics don’t matter. Then provide a solution based on your findings.

Understand the framework in answering metric trade-off questions. 

Strategy and Framework

Understand the framework in answering metric trade-off questions.

Introduction

Investigating Metrics

Fractional Metrics

Measuring Success

Feature Change

Metric Trade-Offs

Growth

Conclusion

Strategy and Framework

Clarify the goals of the business or product