Advanced Practice Cases

105 practice cases

• Coursera vs. MasterClass: Designing for Professional Skill Development

  MasterClass has successfully cornered the market for premium, celebrity-led online courses focused on inspiration. Imagine you're a PM at Coursera. How would you design a new product offering to compete with MasterClass, specifically targeting professionals seeking tangible skills development, and w

• BHP's AI-Powered Predictive Maintenance Strategy

  You are a Senior Product Manager at BHP, a global mining giant. The company is experiencing significant operational costs due to unexpected equipment failures across its vast fleet of heavy machinery. How would you determine the optimal strategy—build in-house, acquire a specialized startup, or part

• Expensify SMB Efficiency Feature Prioritization with RICE

  You're a Product Manager at Expensify tasked with improving efficiency and compliance for small to medium-sized businesses (SMBs). Using the RICE framework, how would you prioritize delivering: 1) AI-powered receipt auto-categorization, 2) Real-time fraud detection, or 3) Automated expense report ge

• Designing Agri-Tech for Offline Smallholders

  You're the Lead PM at AgriSense, a startup building agricultural technology. Your team needs to design a crop monitoring solution for smallholder farmers in sub-Saharan Africa. The key constraints are: zero internet connectivity in fields, devices must withstand extreme heat and dust for years on a

• Redesigning Complex Grocery Delivery Checkout

  How would you redesign the checkout process for a grocery delivery app (like Instacart or Amazon Fresh) to minimize cognitive load for users managing large, complex orders, while also ensuring high conversion rates?

• Apple's Mixed Reality Headset Market Entry Strategy

  Apple is reportedly exploring entering the mixed reality headset market. How should Apple differentiate its strategy to compete effectively against established VR players like Meta's Quest and upcoming AR devices, while leveraging its core strengths?

• Navigating Critical Product Roadblocks and Dependencies

  Tell me about a time you led a high-visibility product initiative that encountered unexpected, significant external dependencies or roadblocks, threatening its delivery. How did you diagnose the issue and navigate the challenges to bring it back on track?

• Shopify Plus Brazil Market Entry Metrics

  Shopify Plus is expanding into Brazil, a market with significant e-commerce potential but different logistical and regulatory challenges, and where enterprise-grade SaaS adoption is still evolving. As the PM leading this initiative, how would you define the core success metrics for the first 9 month

• Conflicting A/B Test Results: Engagement Up, Conversion Down

  You've just launched a new recommendation algorithm for an e-commerce platform. Initial A/B test results show a statistically significant 5% *increase* in users adding items to their cart, but a 2% *decrease* in overall purchase conversion rate. How would you analyze this situation?

• Indoor Navigation for Visually Impaired Users on Google Maps

  Imagine you are the Head of Product for Google Maps. Design a new feature that enables visually impaired users to confidently navigate complex, unfamiliar indoor spaces, such as large international airports or multi-story convention centers.

• Managing critical external data dependency failure for an AI product launch

  You're leading the launch of a new AI-powered recommendation engine, but a crucial upstream data pipeline owned by another team has degraded, leading to 30% data loss. Your launch is 3 weeks away. What's your immediate approach?

• Metrics for Google Maps' AI Itinerary Generator

  Google Maps is rolling out a new 'AI-powered itinerary generator' feature that suggests multi-stop routes with points of interest, dining, and activity recommendations. Define its primary North Star Metric and two critical counter-metrics to ensure healthy growth.

• Conflicting Feature Impact: Engagement vs. Revenue

  Our new 'Personalized Recommendations' feature on a premium music streaming app led to a 10% increase in *daily track plays per user* but a 5% *decrease in revenue from premium subscription upsells* for free-tier users. How would you investigate this conflicting data and form a recommendation?

• Design for Dementia: Smart Home Interface

  Design a smart home system's core interface (e.g., thermostat, lighting) specifically for users with early-stage dementia, prioritizing safety, simplicity, and routine.

• ML Model Performance Issue & Project Delay

  You're leading the development of a new ML-powered recommendation engine, targeting a 90% user engagement lift. Mid-way through the 8-week build phase, initial A/B test results on a small pilot group show the model's performance is only achieving a 65% engagement lift, requiring significant algorith