Simulation Details

Simulation Title: “Sunset Feature Strategy”

Simulation Short Description: “Navigate sunsetting a beloved feature used by vocal minority while data shows low overall impact.”

Simulation Assessed Skills: “Data-Driven Decision Making”, “Verbal Communication”

Company Overview:
CareerVista is a leading professional networking platform connecting over 10 million active users from various industries. The platform’s advanced algorithms match users with relevant job opportunities, networking events, and professional development resources tailored to their career goals. CareerVista boasts a 75% success rate in matching candidates with employers and facilitates over 500,000 connections through industry-specific networking groups. The platform offers a comprehensive suite of professional development resources, including webinars, courses, and articles, with user satisfaction ratings consistently above 90%. CareerVista continuously improves its services through data-driven insights, enhancing features like remote work job listings and personalized career advice.

Challenge:
The main challenge in this simulation is to navigate the process of sunsetting the ‘Groups’ feature on CareerVista, which has shown low overall impact based on several key metrics. User engagement metrics revealed a 20% decline in active participation within the groups over the past year. Maintaining the ‘Groups’ feature required 15% of the platform’s development resources, despite only 5% of users actively participating. User feedback showed mixed sentiments, with strong support from a small vocal group and indifference from the majority. Advanced data analysis tools were employed to gather and interpret this data, ensuring the decision to sunset the ‘Groups’ feature was well-founded and data-driven. Potential conflicts include pushback from vocal users and concerns from team members about resource reallocation.

Mission:
As the Senior Product Manager at CareerVista, you are responsible for managing the sunsetting process of the ‘Groups’ feature. You will interact with various team members and stakeholders, including Priya Kapoor, the Senior Data Analyst, and Jordan Lee, the Director of Product Management. Your strategic tasks involve two main action steps. First, analyze the data related to the ‘Groups’ feature to support the decision to sunset it. This requires reviewing user engagement metrics, resource allocation data, and relevant user feedback. Based on this analysis, prepare a data-driven presentation for the executive team, highlighting the rationale behind the decision. Second, conduct a meeting with vocal users who are passionate about the ‘Groups’ feature. Address their concerns and explain the decision empathetically, ensuring they understand the data and reasoning behind it. These tasks will help you practice making data-driven decisions and communicating them effectively to different stakeholders.

Expected Outcomes:
To complete the simulation, you need to:
1. Produce a comprehensive analysis of user engagement metrics, resource allocation data, and user feedback to support the decision to sunset the ‘Groups’ feature.
2. Develop and present an effective and empathetic communication strategy to address the concerns of vocal users.

Team

Who you will work with in this Simulation
Your team is 100% generated by AI – you will not interact with real people and no human will read your conversation.

Priya Kapoor
Senior Data Analyst

Jordan Lee
Director of Product Management

Organization

A leading professional networking platform that connects over 10 million active users from various industries.