You'll get access to over 3,000 product manager interview questions and answers
Recommended by over 100k members
First I'd like to think about Youtube's mission, then disucss what success would mean and why.
Mission: Youtube's goal is to educate and entertain it's users with video content
Youtube's business model is two sided (creators & consumers). We have video creators and content consumers. Success could mean several things. I know that advertisements are a main source of revenue for Youtube. In order to have advertisements, we need videos. To aquire advertisements, we need users on the platform. To ensure users on the platform we need people creating content. To ensure people are creating content, we need to have a product strategy that ensure's easy consuption and video creation.
I would measure success from multiple angles:
These metrics are related to engagement
North Star metrics
- Time On Site *
- Monthly Active Users
- # of videos watched
- # of videos uploaded
- # of videos shared
- #of likes
Youtube is the content sharing platform where users create content in the form of videos , upload videos , share videos with other users . Users also search on youtube for relevant content like - Technical discussions, interview information, exercise videos etc. Users can also conduct Youtube Live sessions and interact with audience real time in the form of live likes, comments .
Clarifying Questions:
- Do you want me to focus on Youtube Live or any specific feature of Youtube or Youtube as an overall product? - Overall Product
- Do you want me to consider any specific platform - mobile (andrioid , ios) or desktop? - No specific platform
- Do you want me to focus on any specific user segment - content creators, Advertisers, normal youtube users who search and view content on youtube, small scale businesses/brands?
- Is there any specific goal in our mind which we want to measure ? You can define the Goal
Question: How would you measure the success of YouTube?
Answer:
USER SEGMENTS YouTube has different kinds of users, but I think I will categorize them into 3 main groups:
Non-premium users:
It is the group having the largest number of users. Users in this group view videos on YouTube without paying any money. However, they have to see the advertisement, which means they can help YouTube make money by viewing ads paid by YouTube’s customers.
Premium users:
Premium users also view videos on YouTube but they don’t have to see advertisements because they pay $12/month.
Upload users (YouTuber)
Instead of only viewing like 2 above groups, users in this group also create and upload their videos on YouTube. They are often known as YouTuber or YouTube Creator. The profit YouTube's earned from them is their content.
METRICS
Non-premium viewers | |
Acquisition | # of users visiting YouTube landing page |
# of users finishing the first video | |
Activation | # of users finishing the second video |
# of users logging into their account | |
Retention | # of users subscribing one channel |
# of users coming the second time | |
# of videos user watching per day, week, month, quarter and year | |
The amount of time user watching per day, week, month, quarter and year | |
Reference | # of users referring YouTube successfully to +1 acquisitied user |
# of users referring YouTube successfully to +1 activated user (view more than 3 videos) | |
Revenue | Ads revenue per customer |
Click through rate | |
Lifetime value | |
Eyeballs per advertisement |
Premium viewers | |
Acquisition | # of users visiting YouTube Premium landing page |
Activation | # of users trying 1-month free trial |
Revenue | # of users paying for the next month |
Retention | # of users paying for the third month |
# of users paying for one year | |
Reference | # of users referring YouTube Premium to +1 free trial user |
# of users referring YouTube Premium to +1 paid user |
YouTuber/ YouTube creator | |
Acquisition | # of users visiting YouTube channel landing page |
Activation | # of users creating their channel |
# of users saving their 1st draft | |
# of users uploading their 1st video | |
Retention | # of users uploading their 2nd video |
# of videos 1 user upload per week, month, quarter and year. | |
# of views per video. | |
# of subscribers per channel | |
Reference | # of users referring to their friends creating 1st channel |
# of users referring to their friends uploading 1st video | |
Revenue | Ads revenue per video |
Thank you and let me know if you have any feedback <3
YouTube was intended to be the one stop shop for all kinds of video for all kinds of content for all types of people world. From that perspective, we need to see how widely is YouTube available, how the audience values YouTube and whether YouTube as a business is successful or not. Given the above, we should look at reach across the world, we should look at user engagement and finally we should look at earnings.
1. Reach - most widely used video service in the world, as measured by the number of users on the service every month, by the number of users uploading content monthly.
2. Engagement - YouTube users use YouTube for a variety of reasons mostly for entertainment and also for education. Entertainment is a daily need of human beings thus, daily usage is a valid measure of engaged users - DAU, we can also see whether YouTube has depth engagement so we only count users with more that 1 video watched or minutes of video watched. People also use YouTube for education so a daily habit is a valid metric.
3. Revenue - YouTube is costly from an operational cost perspective. Therefore, at its current state of the business, it is expected to earn enough to drive net positive contribution to google overall business. As costs are tight ly related to video being watched, revenue per hour of video streamed may be an interesting metric.
4. Brand impact - YouTube carries risk of legal and brand damage due to pirated and offensive content. Net positive contribution to Google brand needs to be measured. One way to measure brand impact would be monitor piracy takedowns per thousand videos for e g
5. Further, YouTube has impact on society in different countries in different ways with access to free lectures from the best teachers and authors. YouTube has also allows for harmful content. It would also be important to measure offensive content notifications per 1000 videos
Attach this Google metrics interview question with this framework:
Youtube comes in two flavors, the ad-supported version and the premium version at ~$12/month subscription cost. It is also a 2 sided marketplace. Hence it's success not only depends on the number of people watching the content, but also on those uploading content. I will try to breakdown the metrics for success into the Activation, Acquisition, Retention, and Monetization for both viewers and uploaders, as well as for the ad-supported and premium versions.
Uploaders
Acquisition | # of new customers uploading content |
Retention | # of Videos uploaded per consumer. Daily, Weekly, and Monthly active usage numbers for content uploads. Views per video. Channels created per uploader. Subscribers per channel |
Monetization | Advertisement revenue per video |
Viewers - Ad supported
Acquisition | # of new customers logging in; Daily Traffic |
Activation | # of logged in users accessing service; |
Retention | Average time spent on site; Daily, Weekly, Monthly # of Videos watched; Time spent on site |
Monetization | Advertisement revenue per customer; Eyeballs per advertisement; Click through rate; LTV |
Viewers - Premium
Acquisiton | # of customers signing up for trial |
Activation | # of customers renewing subscription |
Retention | DAU, WAU, and MAU; Subscription renewal after 2nd month of service; Churn rate |
Monetization | Monthly revenue generated from subscribers |
Feedback is highly appreciated.
- Clarifying Questions —
- 1.1. Well, YouTube is a very big product with tons of features, like YouTube TV, YouTube stories, YouTube shorts, YouTube videos, YouTube Music etc. Any specific product are we targeting ? >>>> I would like to focus on YouTube videos are thats the major product of the YouTube. Unless you want me to pickup any other sub-products within YouTube.
- 1.2. Any specific metric, are we trying to measure? Like user acquisition, engagement, revenue etc. >> no, we are looking for YouTube in general.
- 1.3. Also, are we focusing on YouTube app or web or both ? >> everything (iOS app, android app, web etc)
- 1.4. Ok, as we finalized the YouTube, I would describe YouTube as a product. So YouTube is a video streaming platform where users can search and watch videos, short videos, watch YouTube TV or music etc. users can also like the videos or post comments on the video. Even, users can create their own YouTube channel where they would be posting the videos they created. And YouTube mission is to give everyone a voice and show them the world.
We also have a paid version of YouTube which costs around 12 cad or usd … not sure about the exact cost. And the advantage of the paid version is users can enjoy ads free videos.
- Users of YouTube —
- 2.1. Normal users who would use YouTube to watch the videos
- 2.2. Users posting comments on the YouTube
- 2.3. Casual users who would be uploading videos on YouTube
- 2.4. YouTubers who would be uploading the videos on YouTube for their subscribers
- User Journey —
- 3.1. YouTube video watcher —
- 3.1.1. User login to the YouTube using the google account (sign-in is optional, users can still watch the videos without signing in)
- 3.1.2. On the user’s home, he would be provided with a bunch of recommendations based on the channel he is subscribing or based on his history.
- 3.1.3. Users can also search for the videos by typing in the search bar. And he would be presented with the result
- 3.1.4.One user starts watching the video and he is using a free version of YouTube, he will be presented with the ads, and for some ads after 5 seconds, those ads can be skipped.
- 3.1.5. Users can also post a comment on the YouTube videos if he is interested in that or reply to someone’s else comment.
- 3.1.6. Users can like the videos as well.
- 3.2. YouTube video poster —
- 3.2.1. Once the video is ready, YouTubers will post the video on the YouTube on their channel.
- 3.2.2. They can look for the no. of views on channel, no. of views / video and some other statistics on their channel.
- 3.1. YouTube video watcher —
- Metrics —
- 4.1. Acquisition —
- 4.1.1. # of app downloads
- 4.1.2. # of users landed on the YouTube home page for the very first time (however this would be very difficult to track)
- 4.1. Acquisition —
- 4.2. Activation —
- 4.2.1. # of user signups
- 4.2.2. # of users search the video / watched the video for the very first time
- 4.2.3. # of users uploaded for the video on their channel for the first time
- 4.2.4. # of users posted the comment / liked the video for the very first time
- 4.3. Engagement —
- 4.3.1. Engagement for the video watcher perspective —
- Avg. time spent / user / day (track the growth wow / mom / yoy)
- Avg. time spent / user / session
- Avg. # of videos watched / user / day (track the growth wow / mom / yoy)
- Avg. # of videos watched / day on the platform (track the growth wow / mom / yoy)
- # of CTR for ads displayed
- # of ads skipped / user after 5 sec ads video (this is an imp metric to track if we are showing the right ads to the users) coz if we are showing wrong ads to the users then he might get frustrated and might leave the platform which would affect our engagement matrix.
- Ratio # of comments or likes / user to the # of videos watched / user (track this growth wow / mom / yoy)
- 4.3.2. Engagement from the video uploader perspective —
- Avg. # of videos uploaded / user / week (track the growth wow / mom / yoy)
- Avg. # of comments / video posted by the video uploader (this will show the engagement that video uploader is actively engaging with this audience)
- # of videos uploaded on the platform / week (track growth wow / mom / yoy)
- # of videos uploaded / category / month (this would help us to track that video uploaders on the platform are not only uploading videos related to one category however diversified videos are being uploaded on the platform)
- 4.3.1. Engagement for the video watcher perspective —
- 4.2. Activation —
- Retention —
- # of users uploading videos repeatedly on their channel
- # of DAU, WAU and MAU (track this growth wow / mom / yoy)
- Monetization / Revenue —
- # of users continuing the premium subscription
- Revenue generated / video (CTR * CPC)
- Monetization / Revenue —
WHAT IS YOUTUBE
Youtube is an online video sharing platform where users can share and watch videos. The users can create content as well as consume content available on the platform. These content creators have their own channels on YouTube on which they release videos and other users can consume that content.
USERS
There are mainly two types of users
Content Creators
-Users
-Influencers
-Brands/Businesses
-Artists/Celebrities
Content Consumers
-General Audience
For the sake of time, I will focus only on one of the two types of users - Content Consumers
Lets look at the user journeys for Content consumers
Users comes on YouTube directly-> searches for a video using keywords or chooses video from the videos on the homepage (recommendations) -> watches the video -> likes the video —> shares the video —> subscribes to the channel —> watches another video
User may come to YouTube from a video link on WhatsApp or video post on Facebook or any other social networks —> watch the video —> may like the video —> may subscribe the channel —> shares the video —> watches another video
Metrics
Lets look at the social aspect and usage metrics of Youtube.
Number of videos watched per user per day
Number of videos watched per user per session
Average session time per user
Number of sessions of YouTube in a day
Time spent on YouTube per user per day
Number of videos added to watch later per day
Average Time spent on watching videos from watch later per day
Number of videos liked/disliked or shared per day
Number of videos commented on per day
Number of videos shared per day via various channels
Number of videos watched per day shared via social channels - breakup of the source
Average Number of channels subscribed per user
Time spent per user watching new content released by these channels per day
Lets look at some of the metrics which track Retention
DAU,MAU,WAU
Number of sessions on YouTube per user per day (A session would time spent on YouTube actively)
Lets also look at how we can measure the success of the recommendation engine
CTR of home page - videos watched from the options on the home page
% of videos watched and liked from the home page recommendations.
Lets look at metrics for premium users also
Number of new paid memberships per month
Active paid memberships at any point of time
Revenue per month from paid memberships
Lets look at overall revenue metrics
Revenue per month from ads
Revenue per ad
Prioritisation
Out of these some of the important metrics would be :
Number of Youtube videos watched per day and per session
Time spent on YouTube per user per day
Number of YouTube sessions per day
DAU, WAU
Number of new paid memberships per month
Active paid memberships at any point of time
Revenue per month from ads
Persona
Creator
Consumer
Business
Goals
Creator
To easily upload content
To reach to maximum number of people for each content
To improve content by interacting with people who see content
To get more views of content
To get more whole video views on content
Consumer
To watch relevant and popular videos
To easily search videos
To see more similar videos
Business
Show more ads
Add new people
Get People spending more time on youtube per day
Keep people coming back to youtube
Success metrics
Creator
Videos created more than x mins/active creator/week(x can be median length of videos before users exit or videos end)
Active creators per week.
Retention on active creators per week
views/content/user/week
messages/video
Consumer
New users joined/week
Video views/day
Time spent/day
devices/user/week
subscribes/user/week
Videos watched per session
% Videos starting from recommendation
likes/video/user
subscribe/video/user
Videos watched in the first week of joining
Business
Ads seen per user/week
Ad views/Ad
Negative metrics
Churned users/week
Exits from middle of video/user/week
Unsubscribes from channels/user/week
Premium members
% of Premium members
# of premium members
wow/mom activation of service
Daily time spent for premium members
% Renewal of premium service
Avg Revenue generated per premium member
Product description
A platform for users to consume and share video content - mainly entertainment & educational content
User types
Video content consumers
Uploader users - users/brands/singers/schools/teachers who upload their video content
Goals
Increase the adoption of the product, create large base of relevant video content by publishers which being consumed by individuals.
High retention - make sure users & publishers return to consume and update video content
If the product will have large user base of publishers who share content on the one hand and high user base who consume the content, the advertisers would like to come and monetize their ads in this platform and the platform can charge for premium membership in case user wouldn’t want to see ads
KPI
Publisher adoption = # of daily video content being uploaded with more then 100 views in the first week.
User adoption = # of daily new users who consume at least 1 video content
User retention 1 = average # of video content being viewed (full view) / total users base for a given week
User retention 2 - relevancy = # click & full view content / # of queries per day. (*Note that here the entity is not a user rather then a query phrase)
User retention 3 - popularity= % of video content being consumed out of the total searches through google search engine
CTR of ads = # of click on ads / total number of video views (impressions)
Top Google interview questions
- What is your favorite product? Why?89 answers | 263k views
- How would you design a bicycle renting app for tourists?62 answers | 82.5k views
- Build a product to buy and sell antiques.54 answers | 66.8k views
- See Google PM Interview Questions
Top Metrics interview questions
- How would you measure the success of Facebook Likes?40 answers | 61.3k views
- What metrics would you use to measure the success of the Save feature at Facebook? 39 answers | 87.2k views
- How would you measure the success of Gmail?23 answers | 17k views
- See Metrics PM Interview Questions
Top Google interview questions
- How would you improve Google Maps?53 answers | 228k views
- A metric for a video streaming service dropped by 80%. What do you do?50 answers | 135k views
- Calculate the number of queries answered by Google per second.45 answers | 78.5k views
- See Google PM Interview Questions
Top Metrics interview questions
- What metrics would you look at as a product manager for Instagram ads?19 answers | 23.8k views
- What is the most important metric for Google Docs and why?19 answers | 15.3k views
- What goals would you set for a Facebook Dating feature?14 answers | 9.4k views
- See Metrics PM Interview Questions