Aurora Audio: Fixing Underperformance in Partner-Store Kiosks: case interview walkthrough

What this case tests

This case tests your ability to analyze operational inefficiencies and propose actionable solutions. You will need to assess the current performance of partner-store kiosks and identify key areas for improvement. Expect to demonstrate your quantitative skills by interpreting data and making assumptions based on the information provided.

How to solve

To effectively solve this case, follow these steps:

• Start by outlining the current performance metrics of the kiosks.
• Identify the factors contributing to underperformance, such as location, product placement, or customer engagement.
• Develop a hypothesis on potential improvements based on your analysis.
• Prioritize your recommendations based on impact and feasibility.
• Prepare to justify your assumptions with data-driven reasoning.

Quant checks to run

During your analysis, ensure you run the following quant checks:

• Calculate the average sales per kiosk to benchmark performance.
• Assess foot traffic data to understand customer engagement levels.
• Analyze sales trends over time to identify seasonal variations.
• Evaluate the cost structure associated with each kiosk to identify potential savings.
• Test assumptions about customer demographics and preferences.
• Consider the impact of marketing efforts on kiosk performance.
• Validate your recommendations with a sensitivity analysis to gauge their robustness.

Common mistakes

Candidates often make these common mistakes:

• Failing to clearly define the problem before diving into solutions.
• Overlooking the importance of data interpretation and quant analysis.
• Making assumptions without sufficient evidence or rationale.
• Ignoring the feasibility of proposed solutions in a real-world context.
• Not prioritizing recommendations based on potential impact.

Practice drills

To prepare for this case, engage in the following drills:

• Analyze past case studies focusing on operational improvements.
• Practice quant-heavy case questions to enhance your analytical skills.
• Conduct mock interviews with peers to simulate the case environment.
• Review common operational metrics and their implications in retail settings.
• Develop a framework for evaluating performance metrics in consumer businesses.
• Create a list of potential operational improvements for various retail scenarios.
• Discuss your findings and reasoning with others to refine your thought process.