There has been a 15% drop in usage of Facebook groups. How would you fix it?
You'll get access to over 3,000 product manager interview questions and answers
Recommended by over 100k members
Symptom: 15% drop in usage of Facebook groups.
Facebook Group Definition:
- Online Community
- Built around a Topic
- Meant to improve user engagement
- Meant to improve Facebook utility
- User can post
- User can read
- User can connect
- User can discuss
- User can buy/sell
- Topic Discussion
- Climate Change
- Political Views
- Professional Views
- Market places
- Buy & Sell Groups
- Apartment Rent
- Connections
- Dating
- Alumni
- Friends & Family
- Active User
- Motivated
- Spread across Demographies/Geography
- Share Knowledge
- Feel Intelligent
- Feel Satisfied
- Share Viewpoint
- Feel connected with peers
- Feel connected to cause
- Feel part of group
- Ask Help
- Looking for information
- Market Product
- Sell Something
- Market their product or services
- User likes a topic.
- User searches for a group.
- User joins the group.
- User reads/like/comments on posts.
- User makes his first post.
- Other users read/like/comment on his post.
- User engages with other like minded users.
- Users don't feel a need to post anything.
- Concept of community doesn't exist anymore
- Users don't view groups as viable options for posting anything.
- They find other channels more viable
- Advertisers crowd the group
- User find difficult to post something in groups.
- Stricter policy
- UI not supportive
- Privacy issues
- Users don't get what they seek by posting in groups.
- Other users don't engage (Most Likely)
- Community is getting weaker
- Tweak Feed algorithm to prioritize group posts
- Autopost most engaging posts across similar groups
- Personalised recommendation of groups to users
- Group Chat feed
Tweak Feed algorithm | Autopost across Groups | Personalised Recommendation | Group Chat Feed | |
Value to User | M | L | M | H |
Value to Platform | M | L | L | H |
Resource Investment | L | L | L | M |
Time Investment | L | L | L | M |
Considering drop of 15% in usage metric, I would recomment implementing Group Chat functionality for groups. User can participate in live chat in groups. This will lead to high engagement and improved motivation for users to post content leading to improved usage metrics.
Metrics:
- Business
- Post/Group/User
- Product
- Chat Sessions
- User/chat sessions
- NPS
- Anciliary
- Platform Metrics
15% drop in FB groups. FB Groups is a feature where people discuss, share or connect over different topics. Does this 15% drop in engagement? or a 15% drop in new users or a 15% drop in groups created.
Assume its engagement drop here i.e. sessions per day have dropped in FB groups - which means people engage lesser with the groups day to day than before.
I have a couple of clarification questions here:
- is the drop recent or has happened over - lets say it has happened over 1 month now
- did the drop happen on android, ios, web? if web then a particular browser?
- any particular geography
- changes in external ecosystem- competitors, data plans from n/w providers, etc.
- did we release a new feature that led to the drawing of users from FB groups
- was there a technical glitch
- seen a drop in related feature such as pages, feed, etc.
If the answer to all above is no then the drop is mostly due to behavioural than technical reasons.
- Metrics- session per day, actions per session, % engaged users, median new posts per day in a group, median responses per post
Assumption: Facebook Groups are defined as a group of Facebook members that share a common interest, organization, family, etc.
Questions to ask to root-cause the problem:
Basic questions
a. Is the 15% drop YoY or over the projected growth?
b. Is the 15% drop for a specific geographic region? Or across the world?
c. Is the 15% drop for a specific demographic group?
d. Did we see a drop in DAU, MAU in the same period?
Did the 4Ps change?
P1 - Did we change the product is anyway that would cause the drop? Is the product still relevant? Did we change any adv. algorithm?
P2 - Did we change any advertising / marketing campaigns that would cause the drop? (Negative emotions)
P3 - Did we change the placements of ads?
P4 - Did internet providers or mobile providers change pricing? Or costs increase for users?
Others potential issues -
Were there any outages with data centers? Or servers?
Did the users start using a competitors / substitute product ?
Other Parameters:
If the drop is regional
- were there any weather events or acts-of-god during the drop period?
- were there any political events?
- were there religious / cultural / seasonal events?
Once you have identified the root cause you could take specific actions to fix it -
For example, you might realize that the advertising algorithm changed and displaying too many ads within groups. We could fix that.
For example, you might realize that heavy usage of videos/ads could have caused overage charges thereby increasing monthly cost. We could introduce a "low bandwidth mode" for mobile users.
First I would do a root cause analysis (Internal vs External)
Internal | External |
Is this an L1, L2, or L3 metric? Did a total # (denominator) of the metric drop or did a numerator metric drop? Did critical sources go down? Server? Deployment What is the timeline for this drop? Did it happen in a day? Did it happen in a month? What changes occurred? Did a new feature come out? Did a new product come out? Has there been a code change? Did the model algorithm change? Are there any telemetry clues? Any errors or checkpoints? Is the independent metric affected, or all the related metrics as well? | Is it a seasonal issue? Particular geography? Has there been bad PR? Has there been turbulence in the political sentiment? Has there been a self-product launch for cannibalization? Has there been a competition launch? Has our stock plummeted?
|
If it is an internal bug, after root causing the metric, a bug would be filed with a severity level to
1. Data team
2. Feature dev team
3. Model Research Team
4. Critical resources team
15% is a pretty heavy drop in an L1 metric, so, depending on the significance of the metric to the overall objective and key results of the org, the sev on it would change, and the timeline for the fix.
For an external issue, it would be better to identify mitigation work-around strategy, set a timeline for when you would think things would bounce back, and work in parallel.
Top Meta (Facebook) 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 Meta (Facebook) PM Interview Questions
Top Problem Solving interview questions
- A metric for a video streaming service dropped by 80%. What do you do?50 answers | 135k views
- You launched a new signup flow to encourage new users to add more profile information. A/B test results indicate that the % of people that added more information increased by 8%. However, 7 day retention decreased by 2%. What do you do?29 answers | 28.8k views
- Drivers are dropping out of a city on Lyft. How do you figure out what's going on?23 answers | 18.8k views
- See Problem Solving PM Interview Questions
Top Problem Solving interview questions
- There is a 15% drop in the open rate of Instagram App. You are the PM. Tell us what could have happened.11 answers | 10.1k views
- There is a data point that indicates that there are more Uber drop-offs at the airport than pick-ups from the airport. Why is this the case and what would you do within the product to change that?10 answers | 22k views
- You are a PM at Uber or Ola. You have to upsell Uber Go to Uber Auto customers. How would you go about it? What product changes would you make?9 answers | 3.5k views
- See Problem Solving PM Interview Questions