ChatGPT as Product Manager - experiment

Spent some time asking ChatGPT PM style questions to see how it does. Overall, (as is typical with AI models) if you know what to ask, it provides solid entry-to-mid level PM grade answers.

What could it be used for? Perhaps to cross-check and generate additional ideas for the existing PM's - in a way, it's a "steroid".

So without further ado, here's the questions I asked and the answers I received:

Come up with a new feature for LI to increase usage

ChatGPT>> One possible new feature for LinkedIn (LI) to increase usage could be the introduction of LinkedIn Learning Paths. This feature would allow users to create a customized learning plan or career development path by selecting courses and resources from LinkedIn Learning and other online learning platforms. Users could set goals and track their progress as they work through their learning path, and receive recommendations for additional courses or resources based on their interests and career goals. This feature would appeal to users who are looking to upskill or reskill in order to advance in their careers, and could also provide a new revenue stream for LinkedIn by partnering with online learning providers.

generate another idea

ChatGPT>>Another possible new feature for LinkedIn to increase usage could be the addition of a mentorship platform. This platform would allow users to connect with more experienced professionals in their industry or field of interest and receive guidance and support as they navigate their career paths. Users could search for mentors based on their location, industry, or areas of expertise, and could participate in one-on-one mentorship sessions or join mentor-led group discussions and workshops. This feature could be especially valuable for professionals who are early in their careers and looking for guidance and support as they develop their professional skills and networks. It could also provide a new revenue stream for LinkedIn by charging a fee for access to the mentorship platform.

generate another idea

ChatGPT>>Another possible new feature for LinkedIn to increase usage could be the introduction of a job search tool that utilizes machine learning to provide personalized job recommendations to users based on their skills, experience, and career goals. This tool could use data from the user's LinkedIn profile and activity, as well as job openings and data from other sources, to generate a list of relevant job recommendations. The tool could also provide resources and support to help users tailor their resumes and apply for jobs, and could include features such as resume review and job application tracking. This feature could be especially appealing to users who are actively seeking new job opportunities and looking for more personalized and targeted job recommendations.

compare these 3 ideas on impact, complexity, and time-to-market

The potential impact of each feature reflects the extent to which it meets a specific need or desire of LinkedIn users, and the value it provides to them. Complexity refers to the amount of effort and resources required to develop and implement the feature. Time-to-market refers to the amount of time it would take to bring the feature to market once development has begun.

It's worth noting that these estimates are subjective and could vary depending on the specific circumstances and resources available.

Create a staged rollout timeline for the job search tool

ChatGPT>>

Here is a possible staged rollout timeline for the job search tool:

Phase 1 (Pre-launch):

• Define the goals and objectives for the job search tool.
• Conduct market research to understand the needs and desires of LinkedIn users with respect to job search.
• Identify and gather data sources for job openings and user skills and experience.
• Develop a prototype of the job search tool and conduct user testing to gather feedback and make improvements.
• Set up analytics and tracking systems to monitor usage and effectiveness of the tool.
• Develop a marketing and promotion plan to raise awareness of the tool among LinkedIn users.

Phase 2 (Launch):

• Roll out the job search tool to a small group of users as a beta test.
• Monitor usage and effectiveness of the tool among beta testers, and gather feedback to make improvements.
• Refine the tool based on beta testing feedback.
• Expand the rollout of the tool to a larger group of users.

Phase 3 (Post-launch):

• Monitor usage and effectiveness of the tool among the wider user base.
• Gather and analyze user feedback to identify areas for improvement.
• Continuously refine and update the tool based on user feedback and usage data.
• Promote the tool to new users through marketing and outreach efforts.

This timeline is intended as a rough guide and can be adjusted as needed based on the specific circumstances and resources available. The goal of the staged rollout is to gradually introduce the job search tool to users and gather feedback to continuously improve the tool and ensure that it meets the needs and desires of LinkedIn users.

What could be a complete feature set and a reduced feature set of the job search tool?

ChatGPT>>

The complete feature set for the job search tool could include:

• Personalized job recommendations based on the user's skills, experience, and career goals, utilizing machine learning and data from the user's LinkedIn profile and activity, as well as job openings and data from other sources.
• Resources and support to help users tailor their resumes and apply for jobs, including resume templates, tips for writing effective resumes, and guidance on how to prepare for job interviews.
• Job application tracking, allowing users to view the status of their job applications and receive notifications when their applications have been reviewed or if they have been invited to an interview.
• Resume review, allowing users to submit their resumes for review and receive feedback from career experts on how to improve their resumes.
• Advanced search and filtering options, allowing users to search for job openings by location, industry, company, job title, and other criteria.
• Saved searches and job alerts, allowing users to set up saved searches and receive notifications when new job openings matching their criteria become available.
• Integration with LinkedIn's job application process, allowing users to apply for jobs directly from the job search tool.

A reduced feature set of the job search tool could include a subset of the above features, such as personalized job recommendations and resources and support for resume writing and job applications, but exclude more advanced features like job application tracking, resume review, and advanced search and filtering options. The reduced feature set could be designed for users who are less interested in the advanced features, or for users who are just starting their job search and may not need all of the available features. The reduced feature set could also be used as a way to introduce users to the job search tool and encourage them to upgrade to the full feature set at a later time.

What would be the top 3 metrics for the new service?

ChatGPT>>

The top 3 metrics for the job search tool would likely depend on the specific goals and objectives of the service. Some potential metrics that could be tracked include:

1. User engagement: This metric could include measures such as the number of users who access the job search tool, the average number of job recommendations viewed per user, and the average time spent using the tool. Tracking user engagement can help understand how well the tool is resonating with users and identify areas for improvement.
2. Job application success rate: This metric could include measures such as the number of job applications submitted through the tool, the number of applications that result in an interview, and the number of applications that result in a job offer. Tracking the success rate of job applications can help understand the effectiveness of the tool in helping users find jobs.
3. User satisfaction: This metric could include measures such as user ratings and reviews of the tool, as well as user feedback gathered through surveys or other means. Tracking user satisfaction can help understand how well the tool is meeting the needs and desires of users and identify areas for improvement.

These are just a few examples of potential metrics that could be tracked for the job search tool. The specific metrics that are most important will depend on the goals and objectives of the service.

What ideas could LinkedIn borrow from other popular social networks?

ChatGPT>>

LinkedIn could potentially borrow ideas from other popular social networks in order to improve the user experience and increase usage of the platform. Some ideas that LinkedIn could consider borrowing from other social networks include:

• Personalized content recommendations: Many popular social networks, such as Facebook and YouTube, use machine learning algorithms to recommend content to users based on their interests and activity. LinkedIn could implement similar algorithms to recommend articles, posts, and other content to users based on their profiles and activity on the platform.
• Group functionality: Many social networks, such as Facebook and Reddit, have functionality for creating and joining groups focused on specific interests or topics. LinkedIn could implement similar functionality to allow users to create and join groups focused on professional topics or industries. This could provide a way for users to connect with others who share similar interests and goals.
• Live video functionality: Many social networks, such as Facebook, Instagram, and Twitter, have implemented live video functionality to allow users to stream video in real-time. LinkedIn could consider adding a similar feature to allow users to host live webinars or presentations, or to participate in live Q&A sessions with industry experts.
• Interactive content: Some social networks, such as TikTok and Instagram, have implemented interactive content formats such as polls and quizzes to engage users. LinkedIn could consider adding similar formats to allow users to participate in interactive content and engage with the platform in a more interactive way.

It's worth noting that it's important for LinkedIn to consider the unique nature of its platform and audience when deciding which ideas to borrow from other social networks. It's possible that some ideas that work well on other social networks may not be as effective on LinkedIn, and vice versa.

Regenerate the response..

ChatGPT>>

LinkedIn could borrow a number of ideas from other popular social networks to increase usage and engagement. Some examples could include:

• Gamification: Gamification involves incorporating elements of game design, such as points, rewards, and leaderboards, into non-game activities to make them more engaging and motivating. LinkedIn could borrow this idea by adding gamification elements to its platform, such as by awarding points for completing certain actions (e.g., connecting with new people, engaging with content, etc.), and allowing users to track their progress and compare their points to those of their peers.
• Social features: Many social networks have features that allow users to interact with each other in meaningful ways, such as by commenting, liking, and sharing content, or by forming groups and communities around shared interests. LinkedIn could borrow these ideas by adding more social features to its platform, such as by allowing users to like, comment on, and share content, or by creating more opportunities for users to connect with each other and form communities.
• Personalized recommendations: Many social networks use algorithms to provide personalized recommendations to users based on their interests and activity, such as by recommending articles, videos, or other content that the user is likely to find engaging. LinkedIn could borrow this idea by providing more personalized recommendations to users based on their interests, skills, and career goals, such as by recommending courses, articles, or other resources that align with the user's professional development goals.

These are just a few examples of ideas that LinkedIn could borrow from other popular social networks. The specific features and functionality that would be most successful on LinkedIn will depend on the needs and desires of its user base.

What would the LinkedIn Mentorship platform potentially look like?? Describe the functionality.

ChatGPT>>

The LinkedIn Mentorship platform could potentially include the following functionality:

Search and discovery: Users could search for mentors based on their location, industry, areas of expertise, and other criteria. They could also browse a directory of mentors and view profiles to learn more about their background, experience, and interests.

Connect and communicate: Users could connect with mentors and initiate mentor-mentee relationships through the platform. They could also communicate with their mentors through the platform, either through one-on-one messaging or through group discussions and workshops.

Set goals and track progress: Users could set career development goals and track their progress towards achieving them with the help of their mentors. The platform could provide tools and resources to help users set goals, such as templates and guidance on goal-setting best practices.

Recommendations and resources: The platform could provide users with recommendations and resources based on their career development goals and interests, such as courses, articles, and other learning materials. It could also provide users with access to career coaches or other professionals who could provide guidance and support on a variety of career-related topics.

Fees and payment: The LinkedIn Mentorship platform could potentially charge a fee for access to its services, either on a subscription basis or on a pay-per-use basis. It could also offer discounts or other incentives for users who refer others to the platform.

Overall, the LinkedIn Mentorship platform could provide a comprehensive set of tools and resources to help users connect with mentors, set and achieve career development goals, and access guidance and support as they navigate their careers.

How would you attract users to this platform?

ChatGPT >>

There are a number of ways that LinkedIn could attract users to the mentorship platform, including:

Promote the platform through LinkedIn's existing channels: LinkedIn could use its existing channels, such as its website, email newsletters, and social media accounts, to promote the mentorship platform to its users. It could also use targeted advertising to reach users who may be interested in the platform.

Partner with organizations and companies: LinkedIn could partner with organizations and companies that are interested in providing mentorship opportunities to their employees or members. These partners could help promote the platform to their own networks and encourage their employees or members to use the platform.

Leverage LinkedIn's existing user base: LinkedIn could leverage its existing user base to attract new users to the mentorship platform by encouraging current users to refer friends, colleagues, or contacts who might be interested in the platform. LinkedIn could also consider offering incentives or rewards to users who refer others to the platform.

Offer promotions and discounts: LinkedIn could consider offering promotions and discounts to attract users to the mentorship platform, such as by offering a discounted trial period or a discount on the first month of a subscription.

Provide value and support: LinkedIn could attract users to the mentorship platform by demonstrating the value and support it provides to users. This could include highlighting the expertise and

Continue where you left off

ChatGPT>>

Sure, here are a few more ideas for attracting users to the LinkedIn Mentorship platform:

Leverage LinkedIn's brand and reputation: LinkedIn has a strong reputation as a professional networking platform, and this reputation could be leveraged to attract users to the mentorship platform. LinkedIn could highlight the credibility and expertise of its mentors, as well as the support and resources provided to mentees, to demonstrate the value of the platform.

Offer a free trial or limited-time offer: LinkedIn could consider offering a free trial or limited-time offer to attract users to the mentorship platform. This could allow users to test out the platform and see the value it provides before committing to a subscription or paying for access.

Host events or webinars: LinkedIn could host events or webinars featuring industry experts or successful mentors to promote the mentorship platform and provide value to users. These events could be used to showcase the expertise and value of the mentors on the platform, and could also be used as an opportunity to gather user feedback and improve the platform.

Utilize LinkedIn's existing content: LinkedIn could leverage its existing content, such as articles, videos, and courses, to promote the mentorship platform and provide value to users. For example, LinkedIn could create articles or videos featuring success stories or tips from mentors and mentees on the platform, and include calls to action encouraging users to learn more about the platform.

Overall, attracting users to the LinkedIn Mentorship platform will likely require a combination of these and other strategies, and will depend on the specific needs and desires of LinkedIn's user base.