If you prefer to read rather than watch this video, check out the blog post I wrote on this, and other, topics here ➡ www.emmading.com/resources
@leigao57272 жыл бұрын
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!
@emma_ding2 жыл бұрын
Congrats! Best of luck with your new job!!
@daradadachanji56706 ай бұрын
@@emma_ding Facebook now actually recommends this video to Data Engineer candidates. Really great video!
@rajatgupta97133 жыл бұрын
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.
@user-xy6ru7jl7k3 жыл бұрын
This is the best video I have ever watched for the product & metric interview preparation! Thank you so much!
@yournameormyname87082 жыл бұрын
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.
@emma_ding2 жыл бұрын
Thank you for your kind words! I'm glad that you're learning a lot from my videos! :)
@yonahgraphics3 жыл бұрын
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.
@dunjianxiao41053 жыл бұрын
First ever video that motivates me to play again and again while making notes carefully. Thank you so much Emma!
@selinsu579029 күн бұрын
this is very insightful, really helped me to understand how to show my work as a data scientist is impact driven
@emma_ding2 жыл бұрын
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)
@sakuralin2056 Жыл бұрын
Hey Emma, ty for the content. The video is so helpful that these small mistakes don't matter!
@Bookerer2 жыл бұрын
This video helped me to pass the DS interview at TikTok! Thank you so much emma :)
@emma_ding2 жыл бұрын
Great news Bookerer! Wish you every success at TikTok! Please feel welcome to email me to share more details! This kind of news really makes my day!
@Bookerer2 жыл бұрын
@@emma_ding The problem they gave during the interview fell exactly into the "Diagnose a problem" category and they were quite impressed with my response even though I was merely following your framework :) understanding how commonly-used metrics can lead to success was also really important!
@franchiniitalo2 жыл бұрын
Amazing Job! You are helping so many ppl landing their dream job! Thank you for your work!!
@alpapaca93323 жыл бұрын
Much better than most DS interview videos. You deserve more subscribers!!
@emma_ding3 жыл бұрын
Wow, thanks!
@ruiliangliu79133 жыл бұрын
Comprehensive and well-structured way to answer product sense questions. Emma you deserve a big thumb up!
@emma_ding3 жыл бұрын
Glad you find it helpful, thanks so much for watching!
@yashovardhan98413 жыл бұрын
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
@rachitsingh32993 жыл бұрын
Subscribed within 5 minutes in the video. Very helpful
@qiwang5 Жыл бұрын
This is underrated channel, so many awesome videos!
@sinnottboy3 жыл бұрын
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!
@oliveryuan14833 жыл бұрын
Love the content. I think a case walk-through video would be even more helpful. Keep up the good work!
@mr_jacklu80143 жыл бұрын
Yes! Please and thank you kindly.
@emma_ding3 жыл бұрын
Stay tuned. More to come :)
@utkarshnigam91462 жыл бұрын
Video content is structured, comprehensive, and practical.
@aakashdusane3 жыл бұрын
I've been looking everywhere for metric and product sense DS questions. Thank you! Hopefully these will help for the LinkedIn DS interview
@wangwendy8690 Жыл бұрын
I just get asked the "how to measure success" question in my interview! This is very helpful, thank you for creating the amazing content!
@emma_ding Жыл бұрын
You're so welcome! :D
@erza48763 жыл бұрын
Best video ever on product sense, saved ton of time to go through other articles/ videos...
@rewiringafrica77943 жыл бұрын
This is the most helpful framework I have seen regarding product sense questions. Thanks a lot. Please do more of these
@emma_ding3 жыл бұрын
More to come!
@takozhangsbox34143 жыл бұрын
非常有用,解开了我之前面试时候遇到的好多困惑,期待更多!
@collegebgi8167 Жыл бұрын
谢谢emma老师!快面试了祝我成功~
@alexz70323 жыл бұрын
I hope in the future you could release some walk-through videos targeting at real product sense questions, and discuss the possible answers using the framework. But this is already great content and very helpful! Thanks Emma
@weiyangshi47293 жыл бұрын
Totally agree! More walk-through videos please!
@emma_ding3 жыл бұрын
Stay tuned! More to come!
@leavonfletcher41973 жыл бұрын
Excellent job. Greatly appreciated. Right now I am doing the University of Texas Certificate in Artificial Intelligence and Machine Learning. Hopefully, this will prepare me for interviews after I have completed it. Thanks again.
@yudhiesh19973 жыл бұрын
Emma thank you so much for this video. It helped me answer the Product question during a DS interview and I managed to secure the job.
@emma_ding3 жыл бұрын
Glad my videos are helpful. Congrats!
@shelllu68883 жыл бұрын
A flawless framework and extremely applicable
@dougmax1203 жыл бұрын
Great content. I'm only on video two but I love the breadth and depth or the content with specific examples and real interview questions. I appreciate all the hard work you went through to provide a simple, easy to follow, concise video but I am sure it took hours of reading and note taking. Found you through KD nuggets.
@andrioktavianto76043 жыл бұрын
Honestly, this video is really helpful for me! Thanks (again) for sharing this, Emma. A step-by-step video on how to solve a business problem using data science with real industry case would be intresting
@emma_ding3 жыл бұрын
Will do!
@ronzhang95003 жыл бұрын
感谢分享,最近正在准备Product sense的面试
@emma_ding3 жыл бұрын
谢谢观看 😄
@cql88783 жыл бұрын
This is one of the best product sense videos
@moutaouakkilyoussef5825 Жыл бұрын
Thanks a looot for this video! Got the job thanks to it :D I was struggling with business case studies especially in consulting firms interviews but this video made me so, so much better at it.
@emma_ding Жыл бұрын
This is awesome to hear, Moutaouakkil! Congratulations on securing your new role! Feel free to share some more details with me if you'd like; what's the position and company?! So excited for you, and happy to have been a small part of your journey. 🥳
@borngenius48103 жыл бұрын
To say that this has been helpful is an understatement. Thanks!
@charleschen51943 жыл бұрын
很清楚 能让我边学边记笔记的视频不多啊哈哈
@emma_ding3 жыл бұрын
感谢观看 😄
@weifengwu56753 жыл бұрын
每期都质量很高,学到了很多,非常感谢!
@junyanyao69773 жыл бұрын
Hi Emma, can you please help talk some products questions related to Opportunity sizing and Enter new market or not
@emma_ding3 жыл бұрын
Love this idea! Will consider it in future videos!
@marciama991711 ай бұрын
Hi Emma, thank you so much for the video! I have some questions about some of the steps you mentioned: 1. I was wondering what was the website in the video that has those sample case questions? 2. For the first category of questions which is diagnose a problem, the second step was analyzing the internal and external cause based on if the change happened suddenly or progressively. I feel like the examples for internal and external causes would lead to sudden change. What would be some external and internal reason that would lead to progressive changes? 3. What are the differences between the second category and the third category, which are measure success and launch or not? I feel like for launch or not type of question, we do need to measure the success first and then decide to launch it or not. So my understanding is that launch or not has the extra final step then measure success.Please correct me if my understanding is wrong. Thanks Emma!
@fobaogunkeye3551 Жыл бұрын
Thanks for the hidden gems Emma!
@poopah44972 жыл бұрын
I am taking notes for all your videos.
@shikharjoshi63493 жыл бұрын
Giving reference to those interviews questions is really helpful. Also learned some new keywords. Thanks 👍
@emma_ding3 жыл бұрын
Great to hear!
@lebronx95162 жыл бұрын
Amazing content as always!
@guanhangchen18523 жыл бұрын
Really like the structure and tips in this video and I'll try using these framework to prepare for my next interview. Thank you!
@nidhiathawale3912 жыл бұрын
Hello! Thank you for such a helpful video. Made a lot of sense to me. I was wondering where I can learn more about the different types of business metrics? Like conversion rate, etc. I come from a Statistics background and I am pretty unfamiliar with these metrics. Would help me a ton if you could suggest some resources to me. Thanks!
@nikhilniket3 жыл бұрын
Well explained !! Loved the framework. Thanks
@emma_ding3 жыл бұрын
You are welcome!
@user-hl7ii5uh6s Жыл бұрын
It's really awesome video! Thank you so much!
@tinniwu3 жыл бұрын
Would you consider to go through a real interview question and answers for "Launch or not" category? The videos for diagnose a problem, measure success, and improve a product are very helpful!! If the interviewer is a Data Scientist, should we emphasize more or lead/expand the answers to AB test or ML modeling? How to do it? It seems like most categories can be expand to AB testing, but less to ML modeling.
@ramamuge33803 жыл бұрын
Loved the breakdown...very simple and comprehensible.
@annicai47573 жыл бұрын
This is super helpful, thank you Emma!
@songxiyou23473 жыл бұрын
Hey Emma! First of all, thank you for this video! It's very clear and well explained, so helpful! -- Change to Chinese mode -- 感谢视频,最近在准备产品题,反复观看您的视频,觉得很有收获。但是因为没有任何case study实战经验,也真的特别期待您出一期例题实战回答或者mock interview+点评,(e.g. diagnose problem,why engagement is down)。我也看过一期不错的PM mock interview,也是类似的问题。但是非常好奇,一个DS回答此题的角度,跟PM应该有何不同呢?DS是否应该更侧重metric本身?更用数据说话?我看PM回答问题的framework也是clarify - time - segmentation等等。那期mock interview最后的solution就是发现其他team launch experiment/feature影响到了engagement,于是跟其他team讨论要不要继续。好奇从DS的角度,要如何侧重给一个solution呢?
Heyy! Really helpful, as these topics aren't covered by anyone properly. Thanks! And Keep making such videos ;)
@emmama15983 жыл бұрын
Hi Emma, I had an interview ask if a feature can improve retention of their product. I followed the framework to ask interviwer to clarify the senario, but the interviewer was very impatient to clarify and couldn't wait to ask me how to use history data. I don't have chance to define the metrics (or follow other steps in the framework). I was very confused.
@takosuzuki56852 жыл бұрын
I don't know if it's too late but I read this book called "Lean Analytics". It categorizes different business models (E-commerce, two-sided market, SaaS) and what metrics to use at each stage of the business
@aeoliaasa36342 жыл бұрын
best channel of DS
@vlkhvan2 жыл бұрын
Thank you a lot! This is an awesome outline
@harish007843 жыл бұрын
This is the best video regarding data science. Thanks Emma mam. I'm following you right from towardsdatascience article.
@emma_ding3 жыл бұрын
Most welcome 😊
@niranjan085383 жыл бұрын
Simply amazing explanation.
@yalili16003 жыл бұрын
Best video ever!! Thanks, Emma. Could you please make an example of the "measure success" problem following your framework?
@emma_ding3 жыл бұрын
Check this one out kzfaq.info/get/bejne/gNBxacun0sevZw.html where I share how to measure success for a LinkedIn interview question. Let me know if it helps :)
@Mohib2832 жыл бұрын
Thanks for making this video. Very helpful to me.
@yourkarma70123 жыл бұрын
Need some more insights on launch or not framework. Any good articles or books on it would be helpful. How can we test the efficiency of the new feature before launching it? Once we launch we could use success and guardrail metric as you suggested.
@emma_ding3 жыл бұрын
Typically, A/B testing is used to measure the effectiveness of a new feature. You may want to check out this video kzfaq.info/get/bejne/jp6lac6jmczciJc.html. I recommend two resources at the end of the video.
@nancywei69983 жыл бұрын
Thank you for posting this very useful video! Cheers
@PeterHontaru3 жыл бұрын
This was such a great video, thank you very much!
@haoranqiu72172 жыл бұрын
Hi Emma, I've watched all your videos related to product sense problems including the videos of the real interview questions. They are all so helpful! There seems no sample question for Launch or Not problems though. Could you please also make a video on this type of question and give a sample answer? Like the LinkedIn, Lyft and Facebook ones. Thank you so much!
@emma_ding2 жыл бұрын
For sure! It's on my list but I did not have time to make it yet, stay tuned!
@mijikim71153 жыл бұрын
Excellent video. Just sharing the next video idea(1): Several videos of... you are using/modifying your frameworks to answer the actual interview questions? (2) mock interviews video.
@mijikim71153 жыл бұрын
Because while product sense questions can be found easily, those sample *good* answers are hard to see!
@emma_ding3 жыл бұрын
Thanks for the suggestions! You may find this playlist helpful kzfaq.info/sun/PLY1Fi4XflWSvtu963rZpfH6WeX54vSrDW. It contains answers to real interview questions.
@PATRICKCHUAD3 жыл бұрын
This will help in future data science interview. Thanks
@MrArijeet_3 жыл бұрын
Thanks a lot for the wonderful content. The framework is really well structured and I am sure it will help me prepare for my interview. But I was curious to know, what sort of questions should I start practicing. Since I am pretty sure most of us will be applying for different roles/industries, so it can seem a bit overwhelming and hard to decide from where we should start and what kind of questions should we focus upon.
@emma_ding3 жыл бұрын
You can check out this video for requirements of different roles. kzfaq.info/get/bejne/op9jm7mLv53VnWQ.html
@siddharthvij9087 Жыл бұрын
Excellent video
@adamyatripathi27433 жыл бұрын
This is amazing!!! Thanks a lot!
@padmaswethak85473 жыл бұрын
well organized information, thank you
@lexichen41313 жыл бұрын
This is so helpful thank you!!!
@rashmikulkarni9102 Жыл бұрын
Hi Emma - First of you all THANK YOU for the amazing content. I do have a question for you. How to answer questions like what should be the KZfaq daily view time? How to answer such questions?
@chilukanand2 жыл бұрын
Awesome video, thanks!
@khizarsultan33162 жыл бұрын
Thank you for sharing amazing content.
@EvanZamir3 жыл бұрын
Great video. One minor correction. You wrote “calcification” when you meant “clarification” on the Measure Success slide.
@emma_ding3 жыл бұрын
Thank you for catching the typos. I made some comments under the video.
@yilinyang75602 жыл бұрын
This is an awesome video! I also like cracking DS case series a lot! I have a question. When I had onsite interview with some tech company, sometimes the interviewer will ask, "how will you collect the data to measure this?" or "What data will use to investigate some issue/measure the impact" all of these applied data questions. How should I ace these types of questions?
@yin81803 жыл бұрын
感谢分享!最近在准备面试,很有帮助~
@yida3 жыл бұрын
Very helpful!
@emma_ding3 жыл бұрын
So glad!
@bibiworm3 жыл бұрын
Great framework. But nowadays this is not enough to get into top tech firms. I have been grilled many times on topics like experiment design and causal inferences. In particular for the first type of questions, you are not only expected to be able to provide several possible root causes but also find ways to test these ideas.
@emma_ding3 жыл бұрын
Thanks for the comment! This video is not meant to be comprehensive. Currently, I’m planning to make more videos on product metrics, which would dive deep. Experimental design and causal analysis would be other great topics to cover. Stay tuned!
@bibiworm3 жыл бұрын
@@emma_ding yaasss! Keep them coming! Thank you.
@TJ-wo1xt2 жыл бұрын
great video, thanks.
@ilikefrenchtos54013 жыл бұрын
I absolutely love your videos (thank you for making them!), but in case you were not already told, your slide at 8:38 says "calcification" , I think you meant "clarification", hope this helps!
@tingxu33652 жыл бұрын
Thank you for the amazing framework! I think there is a typo in the slide Framework(launch or not), 3. recommendation based on experiments result. I think it is "conversion rate" instead of "conversation rate".
@emma_ding2 жыл бұрын
You are absolutely right! Thanks for the feedback, and I'm glad you enjoyed the video!
Thank you for sharing the framework. I wonder if there's an option for incorperating experimentation testing into the second "measure success" question? And when we don't want to incorporate experiment testing into the second part if it's an option?
@ananthapadmanabhanss45532 жыл бұрын
Thanks it's useful :)
@seant79073 жыл бұрын
Very helpful. I was once asked a question like this, "data analysis result varies depending on the person who analyze it. If I ask a group to analyze a data, how can I know who has the most 'correct' analysis result?". Can you or anybody who sees this post give me a good brief answer, link, or video regarding the question?
@emma_ding3 жыл бұрын
Hmm.. It's hard to tell what the interviewer is looking for.
@jonsings3 жыл бұрын
Great video!
@ansarbutt76653 жыл бұрын
Excellent content - just subscribed. You mentioned you went through a bunch of materials yourself - is there any content in particular you would recommend? Such as certain books, websites, videos etc Thanks again for putting this out! Looking forward to your future content
@emma_ding3 жыл бұрын
There are a lot of materials I benefited from and I listed them in my blog post towardsdatascience.com/how-i-got-4-data-science-offers-and-doubled-my-income-2-months-after-being-laid-off-b3b6d2de6938. Hope it helps!
@sunnyJPS83 жыл бұрын
Emma, what does an interviewer wants when he asks "how can you utilize your previous knowledge into our product/company"?
@jieyuwang51203 жыл бұрын
Great Video!
@rajatgupta97133 жыл бұрын
on the spot
@youqingzhou90372 жыл бұрын
Awesome!
@dongqingxiao45233 жыл бұрын
Hi Emma, I love your video so much and it's really helpful. I have a quick question to ask: For the launch or not questions, I'm wondering if the engineering team has already finished developing the feature for you to do the experiment, why not just launch the feature on the product directly? Also, if I have a question like "I have 2 features in the backlog, can you help me decide which one should go first", how to think about a question like this? Thank you so much!
@emma_ding3 жыл бұрын
1. There are many factors influencing whether a feature should be launched or even rolled back after being launched. In fact, "launching" is a complicated process. This is a great question to ask the interviewer at the end of the interview. 2. This is similar to the "measure success" problem. You can refer to this video kzfaq.info/get/bejne/gNBxacun0sevZ30.html
@cool_videos60166 ай бұрын
you are the best
@wowhaha2 жыл бұрын
who is Peter Dwcker? Iol
@yuhan73203 жыл бұрын
总结的很好,谢谢分享
@emma_ding3 жыл бұрын
谢谢观看 😄
@tawiwutcharuwat89993 жыл бұрын
Thank you!
@xiaoqianzhang19343 жыл бұрын
This video is very helpful! Thanks, Emma! When we look at other features launched at the same company, is there any way to narrow down the features we need to look into? Since for big companies like Facebook, it might have hundreds of features changed within one month.
@emma_ding3 жыл бұрын
The interview time is short, you can give 1 or 2 examples of features and have good reasons to justify why they would affect the current product. You will be evaluated on the thought process and structure of your answers instead of knowing the exhaustive list or some particular features.
@apurvashekhar3187 Жыл бұрын
The link to get the ppt slides does not work. It will be great if you could fix it!
@emma_ding Жыл бұрын
Thanks for pointing this out, Apurva! We recently updated some of our links, so here is the new one for you: www.emmading.com/resources Hope this helps! 😊