Product Management in Action - Improving the LinkedIn GenAI feature
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Product Management in Action - Improving the LinkedIn GenAI feature

The best way to learn anything is to do it. So, to see how Product Management works, let's build a product. Ok, we will tone down a bit - let's take a Product feature and try to improve it.

The feature

The Product feature we are considering today is the LinkedIn's GenAI bases question suggestions. You might have noticed that right below most of the LinekdIn posts in your feed, you can see suggestions for contextual questions related to that post. Once you click on the question, you get to know about the topic in-depth. This addition is designed to foster meaningful discussions and keep users engaged by providing additional layers of information.

Now let's work our way through this feature.

Benefits of the feature

  1. Enhanced Engagement: By prompting users with relevant questions, LinkedIn encourages more interaction with posts, leading to richer discussions and higher engagement rates. (Principle: User Engagement)
  2. Increased Value: Users can gain deeper insights into topics without having to leave the platform, making LinkedIn an even more valuable resource for professional knowledge and networking. (Principle: Value Proposition)
  3. Personalization: The feature leverages large language models to tailor questions to the specific content of each post, providing a more personalized user experience. (Principle: Personalization and Customization)
  4. Content Discovery: It helps users discover related content and perspectives, broadening their understanding and knowledge base on various subjects. (Principle: User Experience)

Target Audience for the feature

  • Content Creators: Individuals and businesses who regularly share content will find this feature useful for sparking conversations and increasing their reach. (Principle: Market Segmentation)
  • Engaged Professionals: Users who actively seek to learn and discuss industry trends, best practices, and insights will benefit from the deeper engagement this feature promotes. (Principle: Customer Focus)
  • Learners and Researchers: Those looking for comprehensive information on specific topics can leverage the suggested questions to explore various aspects of the subject matter. (Principle: Use Case Understanding)

Suggested Enhancements to the feature

  1. User-Generated Questions: Allow users to suggest additional questions that can be reviewed and added to the pool, increasing the diversity and relevance of questions. (Principle: User Feedback Loop)
  2. Feedback Mechanism: Implement a feature for users to rate the usefulness of the suggested questions, helping improve the quality and relevance over time. (Principle: Continuous Improvement)
  3. Customization Options: Provide users with the ability to customize the types of questions they see based on their interests and professional focus areas. (Principle: Personalization)
  4. Integration with Learning Modules: Link relevant questions to LinkedIn Learning courses or other educational resources, offering users a pathway to gain more in-depth knowledge. (Principle: Cross-Platform Integration)
  5. Analytics Dashboard: Offer content creators an analytics dashboard to see which questions generated the most engagement, helping them understand their audience better and tailor future content. (Principle: Data-Driven Decisions)

Product Management Principles in Action

  • User-Centered Design: The feature addresses users' needs for deeper engagement and learning, ensuring that the product remains relevant and useful.
  • Iterative Development: By allowing user-generated questions and implementing a feedback mechanism, LinkedIn can continuously improve the feature based on real-world usage.
  • Strategic Vision: Integrating with LinkedIn Learning and providing an analytics dashboard aligns with LinkedIn’s broader mission to be the go-to platform for professional growth and networking.

LinkedIn's new question suggestion feature is a promising tool for enhancing user engagement and fostering meaningful conversations. By leveraging advanced language models, it adds a layer of depth to content sharing, making the platform an even more powerful hub for professional growth and networking.

This is a prime example of how product management principles can be applied to create features that not only meet user needs but also align with strategic business goals.

Excited to see how this feature evolves and looking forward to your thoughts and suggestions.


Ashwin Jaipurkar

Senior Consultant - Product Management, Finacle Digital Products at EdgeVerve (Infosys Company)

8 个月

Useful and practical demonstration of how product management principles can be applied to enhance product with features that add value to the product.

Akshay Kakran

Solution Consulting- Digital Financial Services

8 个月

Nice crisp articulation of how AI is getting embedded inside products now .

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