LinkedIn Metric Interview Question and Answer: Tips for Data Science Interview Success!

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This video provides a sample answer to a real data science metric interview question from LinkedIn.
LinkedIn is testing a new feature: asking a new user to upload their profile photo during the signup phase. Currently, a new user is asked to upload a profile photo after the sign-up process. What metrics will you look at to evaluate the success of the feature?
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====================
Contents of this video:
====================
0:00 Intro
0:28 LinkedIn Metric Interview Question
1:57 A Mock Interview
6:04 Interview Summary
7:24 Outro

Опубликовано:

3 авг 2024

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Комментарии : 61

@SwatiTirthramGulia 12 дней назад

This is among the most exceptional content I've ever encountered. Thank you Emma! Keep posting and enlightening us.

@cming6108 3 года назад

The FIRST ever channel that I won't skip any minute when viewing for all the video you upload

@imerareru 3 года назад

@linhe5896 3 года назад

I really like how you take up two roles by changing your voice, background and clothes. Smart strategy, keeping using it, it definitely made me feel very engaging.

@shelllu6888 3 года назад

Found your videos are all extremely well-thought and applicable in interviews and day-to-day work. Thank you very much for doing this Emma!

@abtestingvideos2259 3 года назад

Emma, your video is one of the things I look forward each week. Thanks so much for spending so much time and effort to make such awesome videos! I have recommended your channel to everyone in my network who are looking for DS jobs.

@mijikim7115 3 года назад

So clear. That's so helpful. All of us would be happy to see more! Thanks a lot!

@shrutisinghal8556 3 года назад

Thanks for your hard work Emma. I am looking at all your videos today and yes loving the content ❤️

@mr_jacklu8014 3 года назад

Hey Emma, I was one of the commenters who thought you should do these types of videos. And I'm so happy you did! I definitely think these videos are very helpful to aspiring data scientists who are interviewing at these big tech companies. Keep it up!

@jessieshao1397 3 года назад

This is the best resource I have ever found! Thanks so much!

@byronhan8961 3 года назад

Thanks for sharing, Emma! Your video helped me a lot. I'm sure you will help many more people like me. Keep up the good work!

@jeoffleonora4612 3 года назад

This is exactly what I'm looking for! I have been preparing for DS interviews. I haven't found other videos talking about the metric questions in details. I will check out the book you recommended!

@ss-ur9zr 3 года назад

Interesting video. Your postings are always helpful and what I'm looking forward to every week.

@jiayingyou8277 3 года назад

This is awesome. In the past I would just answer the question without hesitation and maybe only cover 1 straightforward point or 2, your answer is so complete and flawless! Thanks Im learning a lot here!

@chiplovesdale 3 года назад

Awesome content, thanks so much Emma!

@songxiyou2347 3 года назад

We finally have someone who aces all those DS but not PM style product sense questions!! And I am tried of 100 metrics for one case study. Love, love, love it!

@robbiedeegan3121 3 года назад

Wow! Very helpful - your video gives me hope, thank you!

@miamamia354 3 года назад

Hey Emma, just had a metrics interview yesterday and then saw your video. Looking for another video that need to come up with many metrics to keep tracking and show how to probe using the metrics. Good job, Keep it up!

@calebnguyen9803 3 года назад

Awesome video! I would love to hear how you think about tradeoffs between different metrics before you recommend 2 success and 1 guardrail. Don't ever stop!

@dtjiangutube 2 года назад

You are awesome and lovely. High quality production level videos and lectures.

@sophiezheng4850 2 года назад

This is so helpful! I just failed one product sense interview. But with that failed experience and this video, I know how to improve!

@alpapaca9332 3 года назад

I have no excuse to fail a metrics interview after watching this

@only_dejavu6889 3 года назад

Solid content!

@akshitabatra2500 3 года назад

This is great! thanks

@geoffreyz5466 22 дня назад

3:08 gold 6:56 Invites sent per user per day

@mussdroid 3 года назад

🚀 Above and Beyond ! Emma Thanks for making impact !

@sanson143 3 года назад

Really usefull. Thanks

@nileshjayswal6233 2 года назад

Hi Emma, I wanted to ask something regarding the success metrics. I was thinking that for new users who signup, if they have uploaded their profile photo, there would be a higher chance that the connection requests they sent would be accepted as the profile would look more genuine. Since, one major goal of linkedin is to enable users to build connections,। think Percentage of connection requests accepted should be one success metric. The other metric that I was thinking could be number of jobs applied per user, since users also join LinkedIn to apply to job opportunities. Wanted to know your thoughts on this. Am I thinking in the right direction?

@wongkitlongmarcus9310 4 месяца назад

so useful

@ajaykumarreddygopireddy7705 3 года назад

Thank you for this video. Can you please upload some multiple testing videos. Thank you Emma!

@emma_ding 3 года назад

Absolutely! What specific questions on multiple testing do you have in mind?

@sitongchen6688 3 года назад

Hey Emma, thanks for your great video! For this question, if there is a follow-up question asking us how we can resolve this conflict metrics result? Then will it be the type of Diagnose the program question, and do you have some good idea in terms of answering this question?

@MatthiasEkundayo 3 года назад

Thanks Emma for these videos on Data Science interview! Do you mind making a video on why and how you made the switch from Data Scientist to Software Engineer?

@emma_ding 3 года назад

Thanks for the idea! There are people ask me the same question. It may be an interesting topic but I feel it may be a bit tangent of the content of the channel so far. I want to make this channel more about how to help people get their dream jobs (by sharing interview guidance) and less about me :) But feel free to message me if you have any specific questions.

@Theartsygalslays 2 года назад

One very important guardrail metric here needs to be around quality of the engagement. I.e., whether the lack of a photo (or its addition) causes more invites that are *not accepted*. This could be an indicator of spam activity.

@hohhhhhhhhhaaaa 3 года назад

Great video, and you have organized it very well throughout! one quick question, in terms of a true engagement metric would #connections per new user (e.g., by first week or first month) be more telling than #invites sent per user per day. The idea is that the user photo will also lead to more acceptances of user's invites and they are also likely to get more invites from other people.

@emma_ding 3 года назад

Yes, absolutely you could use #connections. I don't think it's a more "telling" metric compared with # of invites sent. Connections is one step down the funnel after sending/receiving invites and imo we should track all of them.

@hohhhhhhhhhaaaa 3 года назад

@@emma_ding Yep makes sense

@chiplovesdale 3 года назад

@@hohhhhhhhhhaaaa I have the same idea. Thanks for bringing this up! Agree that making connections is one step down the funnel after sending invites.

@miagong416 3 года назад

Thank you so much for this sharing! I have learned a lot! Moreover, there are lots of metrics for performance and A/B testing. Do you have any recommendations about learning metrics and their real-world practice? Is the book you showed in the video a great resource? Thanks!

@miagong416 3 года назад

For example, you have mentioned the SUCCESS Metrics & GUARDRAIL Metrics. where could we find the sum-up of different kinds of metrics? Thank you :)

@emma_ding 3 года назад

For real-word practice, I highly recommend Trustworthy Controlled Experiments by Ron Kohavi, Diane Tang and Ya Xu. For your 2nd question, I wonder why do you want to find the "sum-up"? Different metrics can be used to measure different things. I guess you mean if we can combine different metrics into a signal metric? It's possible but difficult, there are a few examples in the book in Chapter 7.

@chihiroa1045 2 года назад

Just failed my LinkedIn interview… I wish I had seen your video one day earlier…

@jiehu1337 3 года назад

Really would like to see you to come up with both success metric and counter metric at different business phase(AARRR).

@emma_ding 3 года назад

AARRR is another interesting framework. Stay tuned for future videos!

@janicejiang5247 3 года назад

for measure user engagement, is it better to add a time constraint? eg, average invites sent out per user per day (within the first 30day)

@jiehu1337 3 года назад

Hi Emma, do I always have to run an experiments to find out causal effect.

@xiaoxiali6134 3 года назад

Amazing Chanel!!! I wish I found it earlier. QQ how would you think uploading profile photo will help detect fraud can you elaborate?

@emma_ding 3 года назад

Linkedin and facebook may have ML models checking profile photos. It will increase the difficulty registering accounts for non-legitimate purpose.

@rongzhang3242 3 года назад

Hi Emma, I am a beginning learner of A/B testing. When I saw you mentioned 'guardrail metric', I though you are talking about invariant metrics for sanity check. I supposed you would say that the experiment setup is incorrect since we didn't pass sanity check. But actually you didn't treat it as invariant metric. Could you explain more about it?

@emma_ding 3 года назад

Guardrail metrics are not invariant. They can change unexpectedly, which we want to check during or after the experiments. Eg. when rolling out a new feature, we want to improve say the revenue (goal metric) but don't want the latency (guardrail metric) to be worse.

@songxiyou2347 3 года назад

Hi Emma, me again! Saw an interesting question the other day: Suppose DoorDash is ramping up a feature that could allow merchants to set promotions (such as free delivery, 10% off) at certain period of time, how do you measure the success of the feature?

@songxiyou2347 3 года назад

It would be great to see how you would tackle this question! Thank you~

@emma_ding 3 года назад

As mentioned in the video, before defining metrics, it's helpful to start with the business goal. In this problem, the goal could be to increase revenue and/or number of users, which can help you define metrics. For running A/B tests, you can refer to this video ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-X8u6kr4fxXc.html and my blog post towardsdatascience.com/7-a-b-testing-questions-and-answers-in-data-science-interviews-eee6428a8b63

@taha5754 15 дней назад

I took help of gpt to come up with the success metrics for this feature with the goal of increasing revenue: During promotion: 1. Increase in Order Volume 2. Average Order Value 3. Merchant revenue growth What do you think on them?

@Namelessdad83 3 года назад

For success metric, would average number of job candidate matches a good metric? I am guessing companies would like genuine candidates and the matches might go up?

@emma_ding 3 года назад

It would be a good metric as long as it aligns with the goal and the data can be easily collected. For more about defining metrics you can check out this video ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-SuXc5ckvlJ8.html.

@bash8622 2 года назад

I am currently applying for a CSR position in a BPO and an interviewer asked me "What are your metrics?" Can you give an example answer please? I need to know if I responded correctly.

@akshaychauhan2757 3 года назад

Hey Emma, while describing 2nd success metric i.e. "Usefulness of the feature", you said that "this metric should be significantly larger than that of control group" I didn't get it. It would be very helpful if you could rephrase it.

@emma_ding 3 года назад

The metric should be able to measure whether the new feature is useful. And we want to see the value is much larger in the treatment group to prove it is indeed useful.

@cindyzixinzhou3438 3 года назад

@@emma_ding Hello Emma. I have a clarification question for it. The percentage of users uploading photos includes uploading during signup+afterwards, or just during sign-up. If it's the latter, then we cannot have control group. Thanks.