Prepare for and practice interview questions from VIA across topics like Takehome, Statistics, Machine Learning and more.

VIA Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

VIA Interview Guides

Let’s say we’re launching a ride-sharing service in a small US city with a population of about 50,000, and our goal is to acquire 1,000 unique riders within the first four weeks.

How would you approach achieving this rider acquisition target, and what factors would you take into account when prioritizing your marketing and outreach efforts?

How would you approach acquiring 1,000 riders for a new ride-sharing service in a small city?

Rider Acquisition Target

Marketing

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Question	Topic	Difficulty	Ask Chance
Rider Acquisition Target	Marketing	Medium	Very High
Boarding Times Bias	Statistics	Medium	Low
Hundreds of Hypotheses	Statistics	Medium	Low