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How would you improve Twitter?

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Scope: Mobile app, Web app. 

Users can tweet - text, attach videos, images. 250+ character limit

Users can follow others. Engage with tweets - like, retweet etc. 

 

Key trends

Scrutiny from Govts - policies twitter to suspend accounts, moderate content. Pressure on Twitter to curb fake news. While not being partisan. 

 

Core attributes for twitter:

1/ Micro-blogging platform 

2/ Focus is on news type of content, in terms of “whats happening”. Users come to Twitter to get “informed”, not entertained. Thats a key difference from Instagram, TikTok etc. In that sense, can Twitter replace google for news content. 

 

Competition 

Instagram - videos, pics. Expressing yourself 

TikTok. 

Google -- Twitter can replace Google as starting point for news analysis/current affairs content. 

 

Users 

1/ COntent creators - tweeting 

2/ COsnumers - mainly reading, engaging with content - 

3/ Advertisers - twitter’s ad platform to place ads. 

 

Strategic objectives 

1/ Adding and activating new users: Smallest social network. But penetration is still high since the focus for users is to get informed and not entertained. Lets scope the problem to US. Here, I think Twitter already has high penetraiton

2/ Engagement: Would rate engagement priority. US. 

3/ Monetization: Will come with enagegemtn is high. 

 

Lets look at the customer journey


 

Journey and pain points

Importance

Solution and cost

Opening the app. 

1/ See Notifications - open app.  

Quality of notifications is low

 

2/ Just curiosity - wnat to see latest on a particular topic or tweet from a person. 


3/ FInd out more about a topic

H

Notifications are critical to drive engagement. If we can improve relevance, we can dramatically improve app opens/day

Understand user intent and preference - a/ some intent is fleeting (elections), b/ some intent is more long term (startups in ML), in addition to signals such as people I follow, tweets I have seen, retweets etc. 

Show either a summary or tweet. 

M

This is completely internal to twitter. They dont have any external dependencies. So cost is M. 

Doing tasks inside the app


Search for a topic

Search for a topic - I get a lot of junk tweets. 


Want to find new topics

Recommendations -- people, topics also -- tweets - show those tweets and topics. Show new tweets and topics --

 

Fake news -

Highlight fake news but I dont trust Twitter 

 

H

 

Fixing search is critical. If I cant find what I want, I will go to google and search. 

 

H

New topic recommendations. Many times I get bored. New topics will keep me engaged

 

H

Solving for fake news is critical. 



 
 

When I search for “ronaldo coke un endorsement” - dont show me all tweets with that handle. Instead create a tweet thread - which starts with main tweet, key tweets that made it viral. M cost. 

 

Fake news 

Not easy to solve. Instead of branding something as fake - point to sources which provide opposing views if you think the content is fake.  M-H cost. Since the problem is very hard to solve. WHatever we do, we may upset people. 

Voice enabled 

Voice enabled - Whats happening in israel-palestine -- 

Show me more content like this --

M

This can wait. Since the audience using twitter are fairly tech savvy. 

 

 

Summary: 

1/ Recommending a news topic with summary -- or an actual tweet. Which prompt me to click and open twitter. 

Success metrics: People who have opted notifications → # of clicks to open app/ # of notifications shown. 

 

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Abbreviated answer

  • Confirm my understanding of Twitter
    • It is a micro bloagging platform to spread your ideas, information 
  • Users/Personas of Twitter
    • Celebrity - Gain followers by thousands or millions, can use Twitter to drive social change, personal agenda 
    •  Exuberant Tweeter  - expresses lots of thoughts on twitter and has good network and followers. Enjoys posting about their daily life happenings. They love it when they are retweeted and liked. They do not shy away from confontation on Twitter.
    •  Quiet observer - Does not post a lot but follows the above two and keeps on getting regular updates

There are other personas such as News providers, etc. but I will stick to above three. Why? Because they are the biggest personas for Twitter.

  • Now comes the 'improve' part. What does improvement mean. Does it mean
    • Money: Generate more revenue for twitter
    • Happiness: Increase satisfaction and engagement of current users
    • Adoption: Get more people onto Twitter
    • Compliance: Better security measures 
I will focus on Engagement in this scenario and the persona is Exuberant Tweeter. 
This persona enjoys 
  • tweeting and getting heard
  • getting attention from their tweets using retweet
  • getting new followers
This persona hates
  • personal attacks on self
  • not having anything worth tweeting
  • losing followers due to not being interesting enough
Now to increase engagement and happiness of this persona , here are a few ideas
1. Provide these users daily/weekly/monthly information around which of their tweets create maximum buzz. Categorize these using AI and help this persona know what their followers are looking for. Inform them about best schedules to tweet to get max retweets.
2. Inform these personas about potential followers who have retweeted their tweets and have an optino for these personas to 'ask to follow' option which will ask potential followers to follow them with a personalized message. 
3. Provide latest news about relevant information which can then be tweeted by this persona relevant to their previous tweets. 
 
In the above three, I would prioritize the first one at the top as it will increase engagement and more time on the site. 
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Great question. Twitter provides a unique platform to engage in real-time with bite-sized information in an open forum; it has become the next-generation wire service. In terms of improving the platform, is there a specific challenge the company needs to address? (Profitability) Interesting, I’ll look at the revenue-side of the profitability equation as I’ve read cost optimizations are mid-cycle at the moment.

User Personas & Pains:
Casual User: Interested in casual consumption of latest news, updates, and ideas. Will participate monthly in a discussion of an activated importance monthly, but generally centralizing on the entities activeon the platform. Twitter may serve as a substitute to phone or email.
Pains -> Finding new content, no influence, confusion over platform value (Platform is rapid distribution, I’m casual).

Power User: Interested in a regular exchange of ideas and discussion. Enjoys recognition and engagement. Enjoys enabling the sharing process to shape a narrative and see what it grows into.
Pains -> Developing a brand without a viral loop, lack of feedback on tweets that are seen as noise, ability to participate in a more meaningful way to effect action.

Key Opinion Leader: Interested in developing brand awareness, influence, and coordinating action to achieve goals, either financial or social. Content creation and editorial skill development are more important to act as curators and acquiring new users. Acquisition is of primary importance.
Pains -> Managing brand risk, improve monetizing/ call to action requests, reaching new verticals of users unfamiliar with content.

Prioritizing Pain Points Revenue Growth:
The success/ failure of Key Opinion Leaders is the most tied into the Twitter platform. Managing success is easier than to create success for someone without success, especially in media (power user); think show ratings and the statistical shotgun approach of pilot episodes. Solving this problem does provide a solutions platform to scale to Power Users nucleate and grow.

There is a measurable value to a product that can target new consumer segments and reducing churn.

Solutions:
1). Peer review platform for content prior to release. The platform can be a focus group of Power Users that provide guidance with a set of metrics to show how well the message aligns with the psychology of the group profile and if it elevates dialog, neutral, or causes conflict. The process can be expedited with ML as we develop more and more user data. In effect this feature becomes an insurance policy to ensure brand is protected. This feature does slow-down the rapidness of distribution, but would be targeted at original content where speed is secondary. Insurance policies are typically valued at 1-3% of value and would be best deployed as a subscription model.

2). Paid access to the feeds of non-subscribers and targeting information for user values to shape content. In the current environment this should be strictly non-political or religious content, but rather offering a platform for Katy Perry or Barack Obama to write an original piece about the state of solar panels and have it seen by the technical community who may engage well with an outside opinion. The product could generate value from a low-cost subscription for the targeting tools and an additional cost for acquired user.

3). Live heat maps for word formation in the tweet to give insight about tone and context. In situations where time is everything, providing a real-time keystroke feedback to make sure tone is properly aligned with intent would add value to ensure messaging is on point. Scalable to include tweet like/ retweet predictions based on past tonal qualities. Most of communication is the author perception and tone so this would lend itself well to predictions. Similar to the insurance model this feature would be in line with an insurance policy at 1-3% of value and perhaps more if it can grow efficacy of message and not just defend.

Evaluation:
I would recommend implementing live tweet tonal heat maps as a first product to test whether there is value in brand protection and possible user growth. The most value to Twitter lives in option 1 about peer reviewed original content, but it is a much larger undertaking before value is understood. The longer feedback loop also hurts viral adoption as the feature is less punchy, despite being more valuable. Option 2 is controversial in the current climate and has been rolled out previously. The unique angle is the develop of customized original content for audiences, but the feedback loop will require a lot of iteration.

Summary:
In summary the best way to improve Twitter’s revenue in a scalable platform is to release tonal heat maps for key opinion leaders to protect their brand and ensure messaging is consistent and possibly increase user acquisition. The model could be rolled out as a monthly subscription with pricing based on AB test results surrouding statistic models of tonal related user churn and user acquisition.

Metrics:
I would measure success of the tonal heat map by measuring percentage user acquisition (new followers, retweets, and positive comments) and churn of users (unfollowing, negative comments) before and after model implementation.

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Goals of the product: Allow users to post micro-blogs, provide a platform to share & receive thoughts. Social networking.

What’s going well: Very popular, huge adoption, great platform for people to share ideas, thoughts on various topics, great platform for celebrities, public figures to stay in touch with their followers/fan base. Good tool for marketing. High level of engagement.

What are the challenges: Trolling, people claiming their account is hacked so some privacy issues, struggling to monetize, lack of innovation(I could be wrong here) after initial days. Some people find char limit too strict.

Competition: FB, G+, Reddit etc…

Potential Future Goals: Make it a safe environment for people to share their opinion. Increase revenue.

What can be done to address this:
1. To prevent trolling: ML based moderation mechanism. Identify trollers, identify patterns in trolling, identify anomalies and don’t post a tweet until approved by auto moderation system. Another option could be to be let people remove trollers from their followers.
2. Monetization:
– Heavily used by celebrities, celebrities also endorse brands, can we show relevant video ads by celebrities they follow.
– APIs for marketers to min the data for market intelligence. But my hunch is that it’s probably already out there.
– Can offer a Coffee table book which people can get printed or digitally delivered which contains pictures, tweets of their favorite celebrity.
– Can do freemium – pay for extra features such as longer tweets.
– Can provide a way for tweets to appear on TV programs in real time fashion.
– Can provide enterprise product, where people can use to share tweets within the company. Can be used to form communities.

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I’d start by defining “improve.” Any of the following could be viewed as improvements:
– More profitable
– Higher customer satisfaction
– More active users

Let’s assume that “improve means” higher customer satisfaction. How will we measure customer satisfaction before and after? Customer satisfaction can be evaluated using:
– NPS score
– Stickiness (DAU/MAU)

So we’ve defined what metric we want to improve and how we will measure our success before and after. Now let’s break down the types of users on Twitter by their current engagement levels:
– Power Users – active (meaning they tweet or interact with likes or replies) more than once per day
– Tier 2 Users – active once per week
– Tier 3 Users – active once per month
– Tier 4 Users – active once per year

Let’s focus on Tiers 3-4, as they have the most opportunity to interact more with the platform. Why do they not use Twitter more often? It could be because:
1) They do not find value in the content
2) They do not choose to interact out of privacy concerns
3) They have difficulty using the app

Since we don’t have the benefit of user interviews with this exercise, let’s assume that the biggest problem is #1: They do not find value in the content on Twitter. So how can we improve the content?
A couple of ideas:
1) Make it more personalized. Improve the “Recommended Follow” engine by showing some of their most favorited or retweeted content. Make these recommendations more prevalent than the existing function today.
2) Add “Twitter Recommended” profiles of users that consistently create content that applies to a broad swath of users. Similar to Linkedin Recommends, or “Staff Favorites” at a record or bookstore

Now, which of these ideas do you implement? I’d evaluate based on three criteria: 1) the implementation time, 2) the projected revenue impact, 3) enterprise value. In this case, #1 has an easier implementation since it is enhancing an existing feature, and the revenue and enterprise impacts are the same across both proposals.

So let’s implement idea #1. Test it with a pilot segment of users and engage those users with on-site feedback and interviews to refine and improve. Once these refinements have been made, roll out to a broader audience and measure success using the KPI’s we identified earlier (NPS and stickiness).

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Hi JC,
Thank you for the answer. I think the solutions listed here are not novel and this might not work to your advantage. I suggest you list out a few more solutions, including a couple out of the box ones, to help interviewer see your ability to think of fresh ideas. They want to see you come up with big new ideas that are going to help them grow their platform significantly. Check out the answers to some of the other design questions as a guidance. Hope it helps.
1
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  • Context:

    • I would specifically solve for features that can enhance twitter using location services. Location services can be used to increase engagement/increase revenue. I would chose to work on increasing engagement rather than revenue.
    • Twitter restrict user to share news or updates within x character limit
    • One of the most popular social media apps
  • Users

    • Users who are looking for generic content around politics, updates in their field. Users to help themselves and keep themselves updated
    • Users who are influencers who post updated. User to gain additional revenue source by influencing opinion of people following them
    • Companies that share any updates about hiring, product releases, discounts, and try to engage users. They user it to increase sales and to engage with users
  • Use cases using location:

    (I was able to come with many use cases after going through twitter’s vision and mission)

    User cases based on type of user:

    • users want to know about near by physical monuments/locations of some of the topics they are following/tweeting about (which would help user to go pay a visit). Twitter can collaborate with Google maps to get this informatin and send notification to user.
    • users want to contribute to an NGO “in person”. In person increases the confidence that they are contributing to the right company and they can also volunteer. So when a user is passing by a NGO that s/he deeply cares about we send a push notification.
    • users would want to attend some meet-ups near by. This is applicable for both users who are working from home/who are travelling
    • users can be updated about an upcoming natural disaster and any precautions they are supposed to take
    • users can be updated about help services available near them (during natural disaster situations)

    Companies/influencers

    • sharing live location updates on where they are so that their follower base can reach out
    • would want to notify about a product they are looking for in a store if there’s availability. (new advertising strategy for companies) → would have already been explored
    • would want to get data about user and then showcase products according (increased revenue source for users) → would have already been explored
  • Recommendation considering trade-offs:

    • I would create a feature where influencer can share location either of himself/herself and users who are following them if within x kms would be notified which would enable both parties.
    • User would get an option to not be notified from a company/influencer thus giving that freedom to the user
    • This solution is intact with twitter’s vision and also has many types of users covered.
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Step 1: Give/Explain your understanding about the product.

Twitter is a micro-blogging social media platform that enables the users to share their views in real-time in less than 140 charachters. 

 

Users have the option to post tweets, read and view tweets, follow other people, follow topics of interest. 

The mission of the company is to connect people across the world and bring them closer to each other and build a sense of community amongst people.

 

Step 2: Ask clarifying questions to narrow down the scope of the question/product

-Are there any problems that are existing because of which this improvement is needed?

-Web based platform or mobile app? (Mobile)

-IOS or Android? (IOS)

-What do you mean by improvement? (Improving user retention, user engagement, user base) etc. 

-Are we considering this change for a specific region to begin with yes or not? (Yes, will start with users in/from US only)

-Are we improving the entire platform or part of it? (Part of it, we will be focusing on improving the user engagement experience on mobile app for users in US)

As solving and improving for the entire platform at once will be very difficult and time-consuming.

 

Step 3: Select the goal for the question

For the scope of this question we will be focusing on increasing user engagement on twitter/platform as the main aim of the product as it aligns most closely to/with the mission of twitter which is to increase the time users spend on twitter and thus connect the world and bring them closer to each other. 

 

Step 4: List down the user groups

The different user groups for twitter are as follows: 

1) Power users: These are users who use twitter regularly (2-3 times a day) and they tweet as well as engage in other people's tweet and also check twitter for reading news, information etc. They have a decent amount of following which is growing because of their content posting consistency

2) Casual users: These are users who seldom use twitter, they use twitter once a week for 15-20 minutes. They just consume content on the platform and don't post anything/tweet ever. They have little to no following

3) Social media influencers/Celebrities:  These are user groups who have a huge following and post pretty frequently about their life.

4) Businesses/Organisations: Companies of all size user twitter to share their views/opinions, post information about their product and for marketing related activities as well. 

 

Step 5: Select a user group and state your reason for the same.

For the scope of this question we will be going with casual users as our target user as they are the largest user segment and if we can get them to engage on the platform this would considerably increase the user engagement on the twitter platform.  Lot of scope of improvement and growth here as well for these kind of users

That's why we have chosen casual users as our target user group.

 

Step 6: List down the user pain-points

1) Don't know what topics to follow and who to follow

3) Don't know whether the source of information is legit or not?

4) Need help/assistance in creating posts/content

5) Coming up with hashtags for posts everytime is very difficult. Want to know which hashtag has the highest reach.

6) Want better way to search for content/people etc

7) Want to know how users are engaging with their posts

8) Lack of incentive for creating and engaging with content 

9) See what their friends are doing 

 

Step 7: Prioritise the user pain-points based on meaningful criterias like: Impact to end user, Impact to business value

Pain Point #Impact to end userImpact to business value
1HH
3HH
4HM/H
5MM
6MM
7HH
8HH
9M/HM

 

Based on above criterias we have prioritised pain-points # 1,3,4,7,8

 

Step 8: List down the solutions for these prioritised pain-points

 

1) Don't know what topics to follow and who to follow

A) AI based recommendation: Will recommend topics and people based on user's past search behavior, interests etc

B) Survey tab: Go to this tab which will ask a list of questions to you and then recommend topics and people you can follow based on your response. 

 

3) Don't know whether the source of information is legit or not?

A) Authentic/Verified tag: Content which has been verified by the appropiate sources will have the verified tag next to it. 

B) AI based spam/fake news detector: ML model which will detect any kind of spam and fake news and will remove it from the platform. 

 

4) Need help/assistance in creating posts/content

A) AI based post generator: Based on a series of questions asked post can be generated directly for the user.

B) Articles tab: Articles consisting of tips and tricks/templates on how to create posts and content in a much more better way

 

7) Want to know how users are engaging with their posts

A) Content engagemenr scorer: Which will give the user the score on how users are engaging with their posts and tips on how to improve this score

 

8) Lack of incentive for creating and engaging with content 

A) Gamified Platform: Users will get points/rewards/money for posting new content, interacting with other people's content etc which can be reedemed anytime as paypal or amazon gift card. 

 
Step 9: Prioritise the solutions based on meaningful criterias like: Impact to end user, implementation effort, implementation cost
 
Solution #Impact to end userImplementation effortImplementation 
cost
1 AHMM
1 BHL/ML
3 AHLL/M
3 BMHM
4 AHLL
4 BMMM
7 AHMM
8 AHLL/M

 

Based on the above criterias we have prioritised the following solutions

4A, 8A

 
Step 10: List down the metrics that you'll track/measure for these features
 
4 A) AI based post generator: Based on a series of questions asked post can be generated directly for the user with ease.

DAU,WAU, MAU of this feature 

Avg # of posts generated using this feature

%inc in the number of feature that have started posting after the launch of this feature 

 

8 A) Gamified Platform: Users will get points/rewards/money for posting new content, interacting with other people's content etc which can be reedemed anytime as paypal or amazon gift card. 

% of total number of users who have receivied over 50 points in the past 6 months 
Avg inc in engagement post this feature
 
 
Step 11: Summarize your answer
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Approach to answer this question: 

 

Approach to the product improvement question 

1. Describe your understanding of the product, features, users and business model of the company (revenue generation) 

2. Clarify with interviewer whether he has any expectation on

  • Any Specific Pain Point to address

or

  • Is it to improve an existing feature
  • Add a new feature to improve the product overall
  • Improve a platform (Web/Mobile)
  • Improve a particular segment of Users?
  • Improve a company goal: Brand, Revenue, User Aquisition, Traffic
else (if the interviewer is ok for you to identify a pain point)
  • State what you see as the BIG pain point 

3. Identify the use case to BIG PAIN POINTS or which have BIG IMPACT

  • Usecase
  • Solution
  • Value to the customer (High/medium/low)
  • Development/deployment Complexity (High/Medium/Low)

4. Prioritise the Usecase/Solution 

5. Explain how to measure the success criteria related to the feature you described

6. Wrap Up - Impact to the Goal, Alternate Solutions, Self-Assessment - Problems with existing solutions

 

Note: I am deliberately skipping other discussions to keep this answer short only to Pain Point Identification and solution around it

I can see two major pain points which can have a direct impact on the revenue.

1. Primary Pain Point for any social media now is Rampant Fake News, which results in an entire ban in countries.

Example: Srilanka temporarily blocked Facebook and Twitter related to fake news concerning a specific bombing. 

2. The Secondary Pain Point is how to consistently attract new users and retain them (Aware -> acquisition -> engagement -> retention)

I will take the first point as the impact could be catastrophic for social media sites like twitter, as we lose huge users if there is a ban in a country.

So what are the different forms of fake news

  • Generic fake news, controversies, conspiracy theories, hate messages

I will start with

  • Hate Messages: 
  1. Now we can use Machine Learning to detect the context of a given statement and enhance to auto-filter hate messages from other messages. We can also have a "report" option is selected by a certain number of users say we can temporarily hide the comment. Also we can temporarily/permanently bar users who is detected to have multiple hate messages.
  • Generic fake news/controversies: 
  1. When a political story is detected cross-check with the authentic political sites and tracking political parties' social media threads. 
  2. If it's a chat app: clearly differentiate anything other than original by a label mark as "forwarded". 
  3. Change the very mindset of users by running proactive campaigns ex: "Share Joy, Not Rumors campaigns"

I will avoid implementing:  

  1. Ability to auto-hide comments against the government/politicians (The user backlash will be far greater and there could be a mass exodus from other countries of being unfair)
  2. Have the original "username" labelled with the message while forwarding (This can create unwanted fear)

Note: I am deliberately skipping rest of discussions on metrics etc to keep this answer short

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