The data shape threw me a little at first.
Start by clarifying requirements and edge cases, then outline a component architecture that separates state management from presentation. Walk through the implementation step-by-step, emphasizing controlled components, derived state, and performance optimizations. Finally, discuss trade-offs and potential improvements.
Pro tip: Demonstrate awareness of accessibility and performance by mentioning keyboard navigation for the dropdown and memoization for the table rows. This shows you consider real-world usability and scalability beyond just functionality.
Ask questions to confirm the data structure, expected interactions (e.g., multi-select, search), and any design constraints. Identify edge cases like empty selection or large datasets.
Propose a component tree: a parent container holding selection state, a dropdown component, a count label, and a properties table. Decide where state lives and how it flows down via props and up via callbacks.
Describe building the dropdown with checkboxes, managing selection state (e.g., using useState or useReducer), and deriving the count and table data from that state. Emphasize controlled components and avoiding redundant state.
Discuss performance considerations like memoizing table rows or using virtualization for large lists. Mention accessibility features such as ARIA roles and keyboard support.
Compare state management approaches (local state vs. context vs. external store) and component libraries vs. custom implementation. Highlight decisions based on scalability and maintainability.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.