Meta/Facebook Product Interviews: Execution Tradeoff Questions 

I dont think people understand how many gems and isight Dianna is giving here. These are things people pay for. Great work and thank you Dianna!

Really cool explanation and way of product thinking. You demonstrated much deeper understanding of product management than those FAANG PMs doing mock interviews here on RU-vid. Thank you for sharing! Cheers

What a response! Thank you Diana!

these are absolutely the best youtube videos for PM interview preparation. so good.

Thank you. I love how are you articulated this point!!

Thank you so much for posting this content. This has been super helpful in interviews.

Diana you are super fantastic. I will share this video to aspiring product managers.

Liking, commenting and subscribing to give you maximum engagement in RU-vid! Thanks so much for creating these videos Dianna. I feel more confident in my upcoming Meta interviews because of them 👏🤞

really like your video. the structure and framework are very easy to understand.

Another great video Dianna , keep posting ☺️

Outstanding content and presentation. Look out Emma Ding, there's a new sheriff in town and its Dianna Yau!

I love the way your constructing your thoughts

Thanks for sharing this. The list (of metrics) is quite comprehensive and is quite easy to follow the flow. My goal now is to internalize this for my FB interview in 2 weeks :)

Hey Dianna , thankyou for all the content you have created and shared . Do you have an example video of how to tackle same surface, different products ? (Beisdes the general guidance that you have provided in one of the other videos )

Hi Dianna, a wonderful video! thank you. As I was watching this video i was thinking about, like other videos you did define the north star metrics. The reason I say this is because metrics movements are not always enough to take any action as action costs money and resources for the organization. Would you please help me to see if the following though process makes sense to you: I will gauge how much these two metrics have a positive or negative impact on the north star metrics. if the movement of these two metrics holistically ( aggregation ) moves the north star metrics up, I don't need to do anything (if we are close to the target we have defined for that metric), but if it drives the north star metrics down, then we need to do something about it. Here I will branch my thoughts to two branaches: 1- How big is the impact of reaction? 2- How big is the impact of the comments? Which one is hurting us more and then define action items to rectify the situation? Does this thought process and analysis makes sense? Many thanks! Cheers!

great explanation! This is really a great stuff. I have two questions though. Is it ok to ask the north-star metrics to the interviewer during such a conversation? Is it necessary to always connect all the metrics in discussion to north-star metrics? Thank you

Thanks a ton for this video. Just one question, as this is the live scenario of FB how does ship or no ship come into the picture, shouldn't we be thinking of how to convert this situation into our favor?

Hi Dianna, Amazing video but I have couple of questions. 1. Shouldn't we prioritize our metrics? 2. Can we also bring demography, platform, etc. into the picture in addition to this framework. If yes, when? Thank you :)

Hi , this is great stuff . I just could not help but think that should we not consider whether the comments and reactions are going down across FB or is it a localised issue or limited to a specific channel ( mobile / web) . Also in absolute numbers should we not go into how much is Comments as a % of total reactions . That should give us some more insights

I love how you approach these execution/metric questions, so surgical! Kudos! liked and subscribed However, if it was not a launch, I would love to know how you would differ the approach if it was after 1 year or 2.

Hypothesis could be on the lines where we expect the number of post to increase, which in turn will increase the new feed for the user and ideally from Impact perspective: 1) Time spent should be almost the same 2) #session should increase (craving for new content) 3) DAU could be more or less the same? Need some insights on No Ship. Lets say we have Social interaction increase (maybe 5% up), no. of post is almost the same but DAU have a slight dip maybe 0.1%-0.2%... What will be your call post that. Any suggestion?

@Dianna - This is great and super helpful. I got an observation. Can you verify if that is true. If you were a PM for facebook comments section then I would assume in their context that - this is a Root cause analysis question. If you were a facebook PM for reactions then I would assume this is a design question with trade off decisions when they were asked to design reactions in the first place?

Hi Dianna, thank you so much for the great videos! Quick question, you mentioned users value, metric, hypothesis from three sides ( supply, demand, FB). Due to the time constraint during interview, should we ask the interviewer which side he/she would like us to focus on? Or we should pick 1-2 metric and hypothesis from each side? Thanks!

Hi Diana. What if the tradeoff question simply asks you to prioritize.? "You are the PM for Facebook live - what features would you prioritize?" My initial assumption is to ask the interviewer to specify the features like A vs. B. If the interviewer tells me to decide, I'll have to make some assumptions. I am just confused about how I would approach this question. Do I list all the features from the creator and viewer side and then prioritize? Thank you so much!

When making the ship or no ship decision, should we link back to the business mission?

I come across the video after I got tripped by this question in interview lol...

Thanks for the video, Dianna. Follow up question. Suppose this is not happening during launch but after then shouldnt we first establish that there is causation here instead of random correlation? For example, what if there was an issue with posting comment that decreased the total number. In interest of time should we ask the interviewer if we have established causation or is that something we should do? If yes, what is the best way to establish causation? Do we simply identify all hypothesis similar to a diagnosis question and eliminate?

Hi Dianna, this video is really very helpful. I have a question: "How long should we measure for these metrics to decide ship/no ship ?". I hope to receive any recommendations from you.

Hey Dianna, another great video! Thank you! Quick question, I often find the "X metric up and Y metric down question" as a follow up question after success metrics question. When you only have 5-10 mins to answer this trade-off question, how can we best tailor this framework?

Hi Dianna, so would you say the clarifying questions on geo and device type etc really don't matter? I remember form your other video you tappen on the fact that it would not really change someone's answer.

@Dianna Yau, could you also plesae make video about "How would you tradeoff between increasing ad revenue and decreasing retention on WhatsApp?"

And I have a question. When interviewers ask this type of question, shouldn't we focus on these two metrics only? As you elaborated on the metrics from the viewer side and poster side, it makes sense but I feel you are introducing more metrics to assess the impact of the increasing interactions rather than answering the original question. Besides, for the three hypothesis you presented, it seems only the first one deals with the %comment going down which got me confused if those last two are legit hypotheses. I'm really interested in this question and I might be wrong but would like to hear your thoughts. Thank you!

Shouldn’t we be asking a few clarifying questions as well ? Or did you skip it for simplicity ?

FIRST (: (: