Not enough detail shared about how it went to say much.
First, clarify the problem requirements and constraints, then design the object-oriented structure with appropriate classes and interfaces. Next, implement the algorithm within the classes, ensuring clean separation of concerns and testability. Finally, discuss trade-offs and potential improvements.
Pro tip: Demonstrate how your design supports future extensions and maintainability, as Asana values scalable and adaptable code. Also, proactively discuss edge cases and how your solution handles them.
Ask clarifying questions to understand the problem scope, input/output, constraints, and any specific object-oriented design expectations.
Identify the core entities and their responsibilities, then define classes, interfaces, and relationships (e.g., inheritance, composition) to model the problem.
Write the code for the algorithm within the designed classes, ensuring it meets the requirements and handles edge cases.
Walk through examples, including edge cases, to verify correctness and discuss how you would unit test the components.
Explain design decisions, alternatives considered, and how the solution could be extended or optimized for future needs.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.