Your performance
Henderson Electric - Revenue Growth Case
Overall Analysis
An overview of your performance in the interview.
Henderson Electric - Revenue Growth Case
1250 wordsProblem Structuring
The candidate began by restating the objective, but it lacked precision—missing key client constraints and success metrics. Their framework included standard profitability buckets (revenues and costs) but did not tailor sub-drivers to the client's context (e.g., fixed vs. variable costs were not addressed in a cost-heavy business). While the structure was MECE at a surface level, it felt generic and lacked specificity to the case type.
Creativity & Business Sense
The candidate showed limited creativity—focused on textbook drivers without exploring operational inefficiencies or market shifts. Their final hypothesis was logical but lacked nuance (e.g., assuming customer churn without validating through qualitative insights). Business intuition seemed surface-level, though not fundamentally flawed.
Communication
Communication was structured and top-down, with clear transitions between sections. The candidate effectively used signposting language ("Let's start with revenue drivers first..."). However, they occasionally spoke too quickly during math and needed to slow down for clarity. Overall, a confident and clear communicator with strong poise.
Transcript
Analysis & performance, line by line
Transcript
Welcome to the interview! How can I help you today?
Thank you for having me. I'm excited to discuss the Beautify profitability case.
Great! Let's dive in. Beautify is a cosmetics retailer experiencing declining profits over the past year. What would you like to explore first?
I'd like to start by understanding the business better. Could you tell me about their revenue streams and cost structure?
They primarily sell through physical retail stores and have recently launched an e-commerce platform. Their main costs are inventory, store operations, and marketing.
I'd like to structure this by looking at both revenue drivers and cost factors. For revenue, we should examine pricing, volume, and product mix.
That sounds like a reasonable approach. What specific areas would you like data on first?
Let's start with revenue trends over the past 3 years, broken down by channel if possible.
Feedback
Key Takeaways
- +Clear problem restatement at the beginning
- ΔFramework lacked tailoring to the cosmetics retail context
- +Good signposting throughout the case
- ΔMath calculations were rushed and difficult to follow
- +Maintained professional composure throughout
- ΔLimited exploration of e-commerce optimization opportunities
- +Asked clarifying questions when needed
- ΔDidn't consider competitive landscape in analysis
- +Logical final recommendation
- ΔCould improve hypothesis testing throughout