Crack Metric/Business Case/Product Sense Problems for Data Scientists | Data Science Interviews

In this video, I'll share three frameworks that I used to answer product sense/business case/metrics questions that help me get job offers from Airbnb, Lyft and Twitter.
3 Categories of Questions & Frameworks:
- Diagnose a problem
- Measure success
- Launch or not

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Lyft/Uber Metric Interview Question and Answer

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Contents of this video:
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0:00 Intro
1:22 What are product sense problems
2:54 When you don't have any experience
3:28 What are companies looking for
4:17 Diagnose a problem
8:01 Measure success
10:52 Launch or not
13:42 Tips to ace the interview
15:08 Outro

[leigao]

I just wanted to say your videos have really helped me pass my Data Engineer interview at Facebook recently. Thank you for all the great content!

[rajatgupta]

underrated channel. most of the candidates do excellent in the technical round and statistics round but fail miserably in the case study/product round. These videos are spot on and fill that gap perfectly.

[xyrujlk]

This is the best video I have ever watched for the product & metric interview preparation! Thank you so much!

[yournameormyname]

I’ve watched almost all of your videos and I learned sooo much. Thanks for sharing this information for free! You are very talented at describing complex problems with very few words and give the exact right examples. You could be the most popular instructor at any universities.

[yonahgraphics]

Wow! This video has really helped me. I was preparing for an IBM data science interview. Thank you a lot. I also do appreciate that you used real-world questions, which were asked by big names. Other people usually just make up their own. Thanks a lot.

[dunjianxiao]

First ever video that motivates me to play again and again while making notes carefully. Thank you so much Emma!

[selinsu]

this is very insightful, really helped me to understand how to show my work as a data scientist is impact driven

[emma_ding]

Hey guys, I'm so sorry for the typos in the slides, below are the corrections.

In section "Measure success": calcification (clarification), sutable (suitable), Cancelation (Cancellation)

[Bookerer]

This video helped me to pass the DS interview at TikTok! Thank you so much emma :)

[franchiniitalo]

Amazing Job! You are helping so many ppl landing their dream job! Thank you for your work!!

[alpapaca]

Much better than most DS interview videos. You deserve more subscribers!!

[ruiliangliu]

Comprehensive and well-structured way to answer product sense questions. Emma you deserve a big thumb up!

[yashovardhan]

I would tweak the framework for "Diagnose a Problem" a little bit.

I believe decomposing the metric is very important, specially when it is a ratio. It helps to identify if the numerator went down or if the denominator went up.

The framework I like to follow is -
1. Clarify
2. Time
3. Decompose the metric
4. Segment
5. New features
6. External influence
7. Summarize

[rachitsingh]

Subscribed within 5 minutes in the video. Very helpful

[qiwang]

This is underrated channel, so many awesome videos!

[sinnottboy]

Amazingly helpful video and content! I was able to easily move onto the onsite round because of the great content you’ve provided on this channel!

[oliveryuan]

Love the content. I think a case walk-through video would be even more helpful. Keep up the good work!

[utkarshnigam]

Video content is structured, comprehensive, and practical.

[aakashdusane]

I've been looking everywhere for metric and product sense DS questions. Thank you! Hopefully these will help for the LinkedIn DS interview

[wangwendy]

I just get asked the "how to measure success" question in my interview! This is very helpful, thank you for creating the amazing content!