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How should you decide whether to autoplay videos on the newsfeed? What are the metrics for success?

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How should you decide whether to autoplay videos on the Newsfeed? What are the metrics for success?

 

Clarification questions

  1. Should we focus on videos on the news feed or also videos in the FB watch section? (only Newsfeed)

  2. Autoplay w/o a sound? (Yes)

  3. Does autoplay w/o mouse hover once the video is visible? (Yes)

 

Structure

Mission -> Product -> Current Metrics -> Concerns -> Summary\Recommendation

 

Mission and product

FB’s mission is to (1) make the world closer together (2) build tools for communities.

The Newsfeed is the main component at FB and performs as the homepage; It presents content created by friends and others and additional features as friend recommendations. 

There are three types of content: text, images, and videos. 

There are three categories of videos 

  1. Videos posted by friends

  2. Videos posted by not friends

    1. Videos with friends’ reactions 

    2. Recommended videos

  3. Ads

The Newsfeed is a mature product, and the relevant goals at this stage are engagement, monetization, and retention.

 

Why should we auto-play videos?

  • Auto-playing videos can intrigue users with the content.

  • Remove decision points.

  • Increase consumption of videos.

  • Increase engagement with videos.

  • Increase time spent on site.

 

Current Metrics

Direct Metrics (Video Player)

  • # of videos seen and by how many users.

  • The ratio between videos completed \ videos watched \ videos exposed to

  • #/% types of engagement with videos

  • # of videos uploaded 

  • # of users uploading videos \ Average uploads per user

  • Performance (devices \ internet usage \ speed)

  • Time spent on the Newsfeed.

 

Higher Level Metrics (Newsfeed)

  • Feed’s composition: Posts \ Images \ Videos

  • Time spent on site \ depth of the engagement (how much content seen)

  • Original content created and # of content creators.

  • # of reactions as share, tag, comment, like, etc.

 

High-Level Metrics (Facebook)

  • Average # of content seen during a session.

  • Feed’s composition: content created by friends \ content not created by friends

  • Revenues

 

Concerns

  • The recommendations algorithm will need to be adjusted since we will need to define better what it means that a user watched 5 sec \ 15 sec \ 50% \ entire video.

  • Auto-playing videos will probably attract users’ attention and can affect on:

    • Feed’s composition: Posts \ Images \ Videos.

    • Time spent on the Newsfeed.

  • Content Creators - Since videos will receive greater attention, content creators can create more videos and fewer text and image posts.

  • Newsfeed’s Composition - Today, most of the videos are not made by friends; having more videos on the feed can affect the Newsfeed’s composition and present less content created by friends and, by that, going against FB’s mission of making the world closer together.

  • Engagement with videos - I assume that there is less engagement with videos that friends didn’t create, which can cause a decline in engagement.

  • Time Spent on Feed

    • We need to track that users don’t spend “too much time” watching videos,

    • Spending more time in the feed can reduce engagement with other products such as Marketplace, FB’s Stories, Watch, groups, etc.

    • We need to track if we are gaining more revenues rather than in other products.

  • Auto-play videos might be considered harmful.

 

Summary and Recommendation

Consuming more videos can affect users’ behavior; it can increase usage metrics and revenues, weakening relationships with friends.

 

I recommend exploring it with A\B test over time and understanding the overall impact on users and Facebook’s goals.

 
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I'd first like to clarify what Autoplaying videos on newsfeed means - Assuming it is the ability to automatically start playing videos as the user is scrolling through their Newsfeed. This is currently with audio off. 

Before getting into success measures for this feature, let me lay out FB's overall Mission and goals for context: 

FB is focused on bringing people together and creating community. 
There are two tangible outcomes that I can distill from there: creating connections and fostering meaningful interactions between them. 
Knowing where FB is in its lifecycle, I would assume FB is currently focused on Engagement/Retention and Revenue. 
 
With that context, I'll get into the Autoplay feature and the first frame the problem it solves for different users groups involved: 
Hypothesis: The autoplay feature will let users get a quick sneak peek into the content, making it more interesting and simplifying the decision of whether to view the full video or not. There are 2 main user groups: 
1) Consumer: User that is consuming content/watching videos
2) Content Creator: User that is posting content. This could be an individual, a business, a public figure, and so on. 
In line with the overall company mission, I will ensure that both user groups are gaining value from this feature to create a network effect, that in turn improves overall Engagement/Retention. There is also an indirect revenue component to it as it can improve CTRs and engagement with Ad content.
 
If I were to capture the overall objective in a North Star metric for this feature, it would be Total Video Watch Time on Newsfeed / day with the assumption that with this feature users will be more satisfied/engaged, spending more time on Newsfeed overall watching more videos, engaging with content.
 
I will now break that down into different categories of metrics based on user journeys:
User Group 1 - Consumer:
Awareness: User discovers /learns about the feature. In this case, Awareness can be very closely tied to Activation as users may become aware of the feature by just interacting with Newsfeed, without the need for much onboarding materials. 
Activation: User pauses on video/videos while scrolling through Newsfeed
Engagement: User interacts with the video (unmutes, watches in full-screen mode, reacts, comments, shares)
Retention: User loves the experience and uses FB more as a result
Monetization: User consumes more ad video / video content by businesses 
I will decide priorities based on where this feature is in its maturity. Assuming the feature has not launched yet and we are defining how we will measure success upon launch, I will look to set up an A/B test where I will prioritize Activation and Engagement as my top 2 priorities to make sure users 'get' the feature and are liking it. I will measure Retention and Monetization but not prioritize at launch. 
 
Metrics (prioritized metrics in bold): 
Awareness/Activation
% of users that pause on a video while on Newsfeed - will segment by Activity Level of User (Low, Med, High). I will look to move % of Users will Low Activity Level (historically spent less than 10 mins a week consuming video content) to Medium Activity Level (consume 10-20 mins of video content per week) and % Users from Medium Activity Level to High Activity Level (consume > 20 mins of video content per week) 
DAU
WAU
MAU
Will further segment by Type of Content, Tenure of user (new, existing), demography and geography
 
Engagement
  • # videos watched / user / session, D, W, M (CTR for videos) - segment by Activity Level Low, Med, High (similar to above) 
  • Time spent watching videos / user / session, D, W, M - though this is the north star, it is more of a lagging indicator. The purpose of this feature is to get users to "view" a video and as a result, they might spend more time watching videos
  • Total Video Watch Time on Newsfeed / D, W, M
  • Avg length of video watched / user
  • Overall engagement level with videos per user (reactions, comments, shares)
  • Stickiness: DAU/WAU 
  • Segment by Type of Content, Tenure of user (new, existing), demography and geography
  • Avg session length / user
 
Retention
I will identify metrics that correlate best will long term engagement with FB at different points in the user journey. E.g.
- getting a user to watch a video in the first 10 mins of their login assuming that correlates strongly with Timespent on FB overall and possibly other actions takes like reactions. 
 
Monetization:
CTR for Ad Videos
Add impressions/ user
Time spent on ad content per user 
ARPU
Transaction / purchase rate leading from videos
 
Counter Metrics to watch undesirable consequences (will compare against control population): 
Overall Time spent on FB / session, D, W, M 
Overall Time spent on FB Newsfeed / session, D, W, M 
Overall Time spent on FB outside Newsfeed / session, D, W, M 
% Churn ( % of users that are disengaging with Newsfeed after the launch of this feature)
 
User Group 2) Content creators
 
Awareness: Users become aware that FB is now pushing video content through Autoplay
Activation/Conversion: Users post video content (Individuals, businesses, public figures etc)
Engagement: Users post more video content, engage more with their consumers 
Retention: Users love the engagement  they are getting from consumers and continue posting videos over time
Monetization: Business opt to create more video content as its generating more engagement from consumers 
 
 Assuming there is a critical mass of users that is generating content today on FB, I will prioritize success as Engagement, Retention for this segment at launch. Again, will do test vs control. 
 
Metrics (priorities in bold):
 
Awareness
% of users that interact with any onboarding materials before posting 
# impressions for any onboarding materials 
 
Activation/Conversion: 
% users that post video content / D, W, M (segment by Low, Med, High)
# Users that post video content / D/W/M
 
Engagement
# video posts / user / D, W, M (segment by Engagement Level Low, Med, High; Type of User)
% posts that are videos / user / D,W,M
Avg reach of a video post
Amount of engagement that a video post gets in terms of reactions, comments, shares
Avg length of videos watched 
CTR per video post 
Stickiness Metrics: DAU/WAU, DAU/MAU (active wrt to posting videos)
 
Retention
I will identify metrics that correlate best will long term engagement with FB at different points in the user journey. E.g.
  • Interaction with consumers that react/comment on a post might improve overall # of shares, reach of a posts, resulting in higher satisfaction for the 'Creators' encouraging them to post more video - so I might prioritize getting Content Creators to interact more with their audience  
  • Getting users to post at least 2 videos a month
Monetization
  • % of businesses that are paying for Ads 
  • % of businesses that posting video Ads 
  • Revenue realized per Ad 
 
Counter Metrics:
# posts / user / D, W, M (segment by type of user
# non -video posts per user / D, W, M
Overall stickiness Metrics: DAU/WAU, DAU/MAU (active wrt to any post)
% Churn (% users that are disengaging with FB wrt posting after the the launch of this feature)
 
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My idea of how to best answer this Facebook metrics question.

Feature definition: Autoplay plays a video without touch/click when it is in the focus area of the screen( mid of the screen).

Goal of the feature: Primarily the feature serves two goals:

1. Reducing human effort to view the video

2. Increases user engagement with the video

Customer Journey:

A user is going through and scrolling his news feed. When he reaches a video, the video may start playing itself with/without sound. 

If the customer touches on the video it starts to play with sound.

To skip the video the customer should scroll his news feed.

Metrics: 

To evaluate whether to autoplay videos or not, we should look at two factors:

 

1. What is the user scroll behavior when he sees autoplay videos?

2. How frequently a user clicks on autoplay videos?

Coming to the first question, if a user stops scrolling news feed in certain percentage of autoplay videos( this can come out of product data), we can assume he is watching them. So, he is an engaged and interested user and we should show him auto play videos. if this is not the case, we should consider second level question.

Coming to the second question, how often a user is clicking on autoplay videos can be a second level metric.

If the user is clicking and then skipping, this is an indication of lack of content or relevance to the user. To such a user, we should show relevant but different videos.

if a user is clicking and not skipping for a certain time( coming from data), he is highly engaged user and can be showm more relevant autoplay videos even sponsored content.

If a user is not clicking and scrolling through, he should not be shown autoplay videos if he shows this behavior for 7 days/ 7 sessions

Coming over to the metrics part, we will evaluate the following

 

 

User Stage

Metric

Priority

Acquisition

No. of New Users of the product

Medium

 

No. of New Videos uploaded

High

 

 

 

Enagagement

No. of Videos watched

High

 

No. of Videos clicked upon

High

 

Avg Time per video watched

High

 

Total time of videos watched

High

 

No of videos liked, commented, shared etc.

Very High

 

No. of Videos uploaded

Medium

 

 

 

Retention

Users who watch or click on videos at least once every session: retention rate

High

 

users who stop interaction:churn rate

High

 

 

 

Monetisation

No. of ad videos watched/clicked

High

 

ARPPU

High

 

 

Thus to sum up, We will focus on user intercation with auto play videos to determine if to show him the autoplay videos or not.

We shall focus on metrics which have been marked as High, very High in the above on priority.

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How should you decide whether to autoplay videos on the newsfeed? What success metrics?

 

Define the objective 

What would be the impact of auto playing videos in the feed. Videos in the feed are a way in which users express themselves and share information in their community. 

Question:

  1.  Does autoplay include sound ? 

  2. Can users set (easly) a way to revoke the autoplay?

  3. Do creators choose to autoplay ?

Product Objectives  

FB overall mission is to bring the world closer together by creating interaction between community members. Videos are a great way to share information and generate interactions. Autoplay of a video is a great way to bring users attention to the content being shared and generate interactions b/w users. However this might have a negative impact as be viewed as invasive and violates users privacy as it is played on the user’s phone without his or her consent. 

Product features  
  1. Video player screen 

  2. Mute 

  3. Do not show again (like this) 

  4. Setting - do not autoplay 

  5. Posts 

  6. Likes 

  7. Shares

  8. Comments 

Target Audiences  
  1. Uploaders 

    1. Casual 

    2. Professional 

  2. Viewers 

User Journey / interaction with the feature  

Content Creator

  1. In the post module - add video 

  2. Setting autoplay 

  3. Description, tags,  etc…  

Content Viewer

  1. Goto the feed 

  2. View movie

  3. Listen/ Mute 

  4. Stop /Start 

  5. Remove video

  6. Report video 

  7. Change setting of autoplay 

  8. Social aspects 

    1. Share

    2. Comment

    3. Like 

  9. Discussions in groups about this feature 

Metrics that measure each step in the journey  

Creator (we can look as the creator segments in the analysis) 

  1. Awareness / Acquisition  

    1. Hard to measure from the user interaction, clicks on the video upload button 

  2. Activation 

    1. # UU that upload videos 

      1. First time uploaders 

    2. # Videos 

  3. Engagement

    1. # Circular effect -  those that upload are they more engaged with others’ videos 

    2. Sum time spent 

    3. # videos/UU 

  4. Retention 

    1. # of returning users in given time (D/W/M) 

    2. Churn (cohort analysis) 

  5. Monetization 

    1. # users that share (for pay) videos 

    2. # Rev per video 

    3. Sum of paid videos 

  6. Referrals 

    1. Positive sentiment 

    2. Share outside on FB 

    3. Share in groups ??

Viewer 

  1. Awareness / Acquisition

    1. # UU in the feed (look at delta)

  2. Activation 

    1. # video views 

  3. Engagements 

    1. Listen

    2. Mute 

      1. UU

      2. Actions 

      3. Actions/ User

    3. Stop

    4. Play 

    5. Remove video

    6. Report video 

    7. Change setting of autoplay 

    8. Social aspects 

      1. Share

      2. Comment

      3. Like 

        1. Dislikes 

    9. Discussions in groups about this feature 

      1. # words

      2. # sentiment 

        1. Positive 

        2. Negative 

  4. Retention 

    1. # UU returning 

  5. Monetization 

    1. # UU viewing paid content

    2. Sum of Revenue 

Creators 

Metric

Impact

User Delight 

Effort

# videos

High

High

Low

# Creators

High

 

Low

# V/Creators

High

 

Low

# First time creators

High

  

# Creators engaged

Mid

Mid

Mid

Avg time spent

  

Low

Returning users

High

High

 

Churn 

Mid

High

High (time)

# paid videos

Mid

Low

 

# Paid Creators 

Mid

Low

 

Total $ paided

Mid

Low

 

Creators sentiment

High

High

High

    
    

 

Viewers

Metric

Impact

User Delight 

Effort

# videos Viewed *

   

# UU viewers

   

# V/Viewers

   

# Action Listen

   

# U Act. Listen

   

# user Comp view

   

# Mute

   

# Time Spent

   

# Stop video

   

Remove Video

   

Report video

   

Stop autoplay 

   

Share

   

Comment

   

Like

   

Dislike 

   

Avg time spent

   

Returning users

   

Churn 

   
    
    
    
    
    

 

Prioritized metrics 

  1. # videos 

  2. UU users

  3. # interactions (likes, share, comment)

  4. Sentiment analysis 

  5. Churn 

  6. Revenue metrics 

  7. Full video played 

  8. # report videos (do not show again)

  9. # disable feature/ viewer 

How to collect the data ?

A/B test this feature. A/B test can be on multiple levels.  

  1. On / Off (with an option to turn on) 

  2. On with high discoverability of off setting 

  3. With sound 

  4. Not all (might be a measure of the impact) 

 

Summarize 

This is a measure change to feed that can have a massive impact on user engagement, retention and revenue. To some users, this might be a delight and to others it will have a major negative impact. Given that this feature is superimposed on user’s feed it’s impact can be measured relatively quickly and the stats (metrics) above 

 

 

 

 

 

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1. As I understand the newsfeed feature, users see a newsfeed, usually there is infinite scroll, and as a newsfeed item comes up it can have a video and the video can auto-play or not with sound on/off.

2. Assuming I am an FB PM, FB mission is to bring people together and the goal of newsfeed is to inform user of information relevant to them

3. A typical user journey may be that a user lands an a page w. newsfeed, they scroll until they encounter a post with a video, that video can play automatically or not and with sound on or off, the video can also be in an ad post. When the user encounters a post with a video they can choose to engage with it, press play or just watch it, add a reaction or comment, clink on a link, go to posters page, re-share and continue on in the news feed.

4. Some metrics to keep an eye on could be:

- time spent on newsfeed

- # of posts per session

- # of reactions/comments for video posts

- re-shares

- engagement with video posts (click play, pause, turn on/off sound)

5. Keeping in mind the broader facebook mission and goals of newsfeed, the most impactful metrics to keep track of would be:

- time spent on newsfeed, # of posts viewed per session

- reactions, comments on video posts

- actions taken on initial video state

- ARPU related to ad video posts

I would also segment these metrics based on video posts or not, % video in feed content, ad vs. non-ad posts.

6. I would prioritize measure how users interact with initial state of video since that is pretty low effort and would be pretty effective at communicating user preferences with a high level of confidence. I would A/B test playing the video with sound off (to avoid disrupting users) against not playing the video, and look at % of instances where users alter video initial state by clicking play or pause, and also secondarily make sure there were no large changes in # of posts viewed, avg. time per video post, # of likes and comments, to measure engagement.

7. To summarize, as a FB PM, based on the FB mission and newsfeed goals and with the user journey of viewing and engaging with video content there are several areas to measure during the user journey but I would prioritize how users react to an initial state of a video while measuring resulting engagement both with video posts, ad/not, as well as newsfeed at large. Depending on how clear the results and how confident I am in the data I might also look into lettering users set their own preferences as well as persisting their last chosen state, such as keeping playing with sound if the last video was played with sound.
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Assuming, I have to evaluate this as a PM for FB newsfeed.

Newsfeed as a product has a goal of helping users find the most relevant content via the newsfeed.

Success for news feed will lead to greater discovery of useful content and thus stronger user engagement. We can measure useful content discovery by looking at the bounce rate of users. 

In order to decide if Newsfeed should have autoplay, I need to understand its impact on newsfeed success and fb mission. That is, does it lead to stronger amount of connection between users, entities on FB and improve their retention on the platform.

Primary Key Metrics That Represent the above are:

  1. DAU, MAU for FB App as a whole [Main success metric]

  2. CTR and bounce rate from the newsfeed clicks

  3. Engagement on newsfeed (comments, reactions, shares)

  4. ARPU (Impact on advertising revenue)

In order to evaluate the impact of this, I will create an AB test:

  1. Treatment - will have a autoplay of videos on the newsfeed

  2. Control - Will have the non autoplay for videos

I will work with data scientist to setup the sample sizes and run the experiment until I get statistical significance for impact on above mentioned key metrics and make a decision.

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Great Answer.
 
I think we should consider "Avg session length per user" metric as one of the primary metrics to evaluate this feature.

A user may end up having a longer sessions due to the auto played videos. That would help FB in its core goals that are networking and revenue.

Networking (or Reaction metrics) - When a user is spending more time watching video, it may be possible he will end up reacting (comment, share, like) to the content.

Revenue Metrics -  No. of ads viewed by user shown in the videos would increase which otherwise could have been missed by the user if he had scrolled down without playing the video.

So final conclusion - 'Avg session length per user' metric do make sense here to be considered as primary metric as it has impact on both ARPU and Reaction metrics.

Thanks
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Product

Facebook offers a feature, that automatically plays the videos content in a newsfeed while the user scrolls through. These videos by defaut will be muted and the user can click to hear the audio and enable it for rest of the videos as well.

User and Value Proposition

Content viewers - This feature provides the ability for the cosumer to avoid the hassle of clicking the video thumbnai each time. It has also been hard to judge the content with the help of the video thumbnail unless it starts to play , so that there is a high possibility that the user may skip the content 

Content creators - When the videos plays while scrolling through it increases the chance of the user viewing the video completely and thereby the content gets a view and the chance for engagement becoames high. This automatically motivates the user to create more content

Facebook - When the user spends more time in viewing the video and when there is more content produced, more ads can be displayed leading to added revenue. Based on the drop rate while watching videos FB can prioritise the type of video content that the user might be interseted with

A/B Testing

Before arriving at a conclusion about the decision, it is necessary to perform an A\B testing with two groups of the same cohorts and measuring the below key metrics to see which goes well with the users

Norther Star Metric

Average time spent in watching the video content per user - When a video watch time is increasing then there is a value add for both both the content creators and consumers. This also gives Facebook to dispaly more ads and generate more revenue

Other Metrics to determine the success

Adoption:

1.  Number of users who click the Mute/Unmute button while watching the videos - This metric shows that the user are adopted and know how to use this feature as per the surroundings

Engagement

1. Average number of full videos watched per user while scrolling through the newsfeed/ per day

2. Average number of likes\Comments\Reactions per user per video

3. Average watch time per users

4. Average views per video feed

5. Increase percentage in the video content that gets posted per user - WOW

6. Average number of shares per video content

Retension 

1. Number of users who still maintain the high video watch hours after 30 days

Referral

I dont see any referal metric as such because when the user share the video to a friend he share the vide and not the auto play feature

Counter Metrics

1. Number of videos that get reported

2. Number of users who drop watching the video before completing 50% 

Downstream Metrics

When the time spent in newsfeed increases there are changes the user spends less time in watch tab and reels therefore measuring that as a downstream metric is important

 
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