 People are very scared that Chai GBT is going to replace their job. But what if you are able to use it to advantage to lend you a job? In this video, I did a mock interview with Chai GBT and led it to guide me through the meta product management interview process and see if it can help me to lend the meta for the manager job. And do you know that every year less than 1% people is able to join meta and lend a high-paying job over $300,000 per year in meta and if Chai GBT can help achieve the goal, that's the best investment ever. Stay until the end of the video and see if Chai GBT can actually pass the interview and make a $300,000 job at meta or not. Hey guys, this is Dr. Nancy Lee, a director product and featured in Forbes. I help 100 people lend their dream PM job offer in fan companies and unicorns startups and continue to get promoted as a product leader. If you're interested in product management course, please go to PM Accelerator.io to learn more. If you want to learn the most effective way to become a product manager, subscribe to our channel and hit the bell button to be notified every time and turn on your video every Wednesday. If you find the video useful, make sure to give us a thumb up and let's continue. There are three types of interview questions in meta. One is product sense. The second is product metrics, which is execution interview. The third is behavioral interview and leadership. In this video, we'll focus on product metrics and product execution interview because in my last video, I already evaluated actually how chat to BT pass the product sense, product design interview in the Google product management interview. You can check out this video right here. His answer is pretty good. So therefore this video will focus on product metrics interview so you can give me a really good metrics. So here is my interview methodology. Number one, I use a real life interview questions and meta. So to make sure the bar is very high, you can download the top 50 real life interview questions for product management and meta and other companies by going to this website right here and download in the description as well. And second, probably my last free training showing how exactly is the best product manager sample answers and framework to pass a meta product metrics interview. So compare chat to BT answers with my answer, you can check out this video best answer right here. Then I start to ask chat to this question, set the goal for a Facebook event, but the first time chat to be heard it didn't understand the question and didn't understand set a goal mean. So we actually give back the answer to me saying that well, you can set different goals depends on the organization from the company. And then I tell chat to BT that this is actually a Facebook event as a feature as a product feature. What would you design the success metrics for the feature? And then it started to give me a better answer and chat to start to talk about the goals of the users and the company because they need to get connected of the features and the company goals. And however, it only talks about high level examples for example, look away to increase the visibility of event or Facebook platforms. But in the product manager interview, we need the exact metric the product manager can use to measure the success of the product. So therefore I asked a specific question to guide chat to BT. So what is the success metric? And then it started to give me the interview ready answer. See below. Event creation and attendance. One metric for Facebook event features number event created and attended on the platform. This is pretty good. And also talk about over engagement, adoption of features, talk about user engagement, RSVP show up and comment and revenue generation and user satisfaction, which means through survey and net promoter scores to show how great the event is. However, I don't really like this answer as much because it should broke down the whole metric into different categories to help the interviewer to understand what exactly is your thinking process. And especially in the free training right here, I frequently talk about the two-sided marketplace framework for Meta because Meta is known for two-sided marketplace. I started to guide it to have a better answer, but I do like it. It's already going into the right direction. And I asked chat to BT this question. So what do you think is the North Star metrics of Facebook event? And then it started to give me the North Star metric for Facebook event as the monthly active user who create or attend the event. The answer is kind of okay. So which means it combined the active user by event creators. And event attendees. In real life interview, we need to break it into half so you measure the activity on both sides of the marketplace. But it's kind of towards the right direction. And here's the important tip for all of you guys. If you want to pass the metapartement interview, you need to use the right framework, which is my computer science PhD framework. It stands for mission and why customer segmentation of P stands for priorities and North Star, H stands for product health, V stands for de-risk. When chat to BT answers the questions, it didn't follow the framework. So that's why it's kind of random. So I asked it to follow my framework and the answer gets better. And I asked, what do you think is the mission radio metrics for Facebook event feature and it started to give me a better answer. Talk about mission radio metrics. Talk about content mission, community building mission, user engagement, go reach from Facebook perspective under each mission. It's giving me different mission related metrics. For example, for mission radio metrics for Facebook event feature, talk about the number of new community forms. This is pretty good. And user engagement, that's always important measurement. And go reach in regarding to bring the world closer together. This is definitely going to help you to pass the interview for being in the mission company, bring the world closer together. It's getting very smart, smarter and smarter through the guidance based on what kind of questions you ask it. And then I asked this question, Hey, what are the technical metrics you should follow for Facebook event? And now the answer wasn't good because started to give me like event creation, even discovery, even engagement, performance, mobile usage and actually only the performance is more closer to technical metrics we need to measure. And so for that part, actually I'm going to fail chat GBT for his bad answer. It's not hitting the goal. So therefore, I decided to guide it through the process and asking, are those all technical metrics? And no, so it's actually after you recognize it was wrong, it started gave me the right answer. See the point is start to get even better. Hey, slow time, error rate, R time, mobile optimization, A, B testing and result. And all of this are leading to a really good answer in terms of, hey, those are technical issues we need to measure except the A, B testing result. So I asked, hey, is A, B testing a method or a metric? What do you think? And I said, well, it is a method. And then it gave me how to use A, B testing as a method to measure different kind of metrics. So it's finally start to recognize it did wrong, but the interview results are actually getting better. And as part of my computer science PhD framework, D stands for D risk, which is what kind of potential risk is involved in this feature. And I asked this question, what do you think different kind of risks are there? And it is really good. The risk identify is very good. It said, like privacy concerns, misuse, abuse, technical issue, legal, regulatory complaints. And this is definitely a pass for the risk session. So combination is that it felt the two-sided marketplace customer segmentation, but it starts to get better in terms of specific technical risks. And D risk involved. And then after my computer science PhD framework, it's about CC, which means the countermetrics. So regarding the countermetrics, very important, I want you guys to understand what is a countermetrics? Countermetrics means that when you have a certain type of metrics and a North star metric, you need to have a countermetrics to balance this out. For example, if the sales is really high, the countermetrics could be customer acquisition cost. And then I asked HGDT, what do you think the countermetrics for Facebook event feature? Well, the answer is pretty good. Inactive users, event abandonment, low user satisfaction, it's really good. Actually, I was like, wow, this is very good. And then in the real-life interviewer will also ask you this follow-up question. What do you think the size of the event? Do you think the size of the event really matters? Should we use it as a metric? So this is a discussion between you and the interviewer, guess what HGDT said. It said, really depends. So it's important to consider the purpose of the event and also give me different examples regarding what depends on goals. It's the largest event, the more engagement of the event, or could also, the purpose of the event is not about engagement, could also be let's build communities. So it's different depends on the purpose of how you use the event. So the answer is actually getting better and better. I will actually say something very similar in the interview. And towards the end I asked the next part of framework what you see, another see cannibalization of Facebook event feature. And then it started helping me define cannibalization. It's a great education for all of us. Cannibalization means that if the recent new or existing product features will compare or distract from adoption success of other product features. So therefore, if Facebook event feature is so popular, some other feature will not get as popular. So the answer is getting better regarding what other features are getting impacted by Facebook event feature. Here is the answer for the group engagement, advertising revenue, a messenger and what's up. And this is actually pretty good. While I was like, wow, you're getting smarter and getting trained by me. This is like amazing. So therefore, what I want you guys to start to understand is that when you use Chatchapiti, it's more about using the right framework to guide you through the process. So therefore, I would encourage you to understand the best framework right here in this video. And then use Chatchapiti to advantage to understand if it can pass interview or not. But in the summary right now, I think Chatchapiti actually almost passed the interview. The product didn't pass was at the beginning talking about customer segmentation. When you wanted to think big, it wasn't that good. When you give a specific exact answer, it can give you the perfect outcome as well. So do you think Chatchapiti passed the interview or not? So comment down below. Are you preparing for any product management interviews? If so, you should go to this website to download the top 50 product management interview questions database so that you can use it to prepare your upcoming interviews. Make sure to watch more playlists of Chatchapiti videos right here. Like and subscribe for more tips. I'm gonna see you in my next video. This is Dr. Nancy Lee from PM, et cetera.io. See you soon. Bye.