I went straight to features and the interviewer kind of just waited.
Start by clarifying the goal and target users, then outline the core collaborative editing experience, and finally discuss technical feasibility and differentiation. Focus on real-time collaboration, version control, and seamless integration with Google's ecosystem.
Pro tip: Emphasize the unique challenges of photo editing (e.g., large file sizes, non-linear editing) and how Google's infrastructure (e.g., TensorFlow, Cloud) can solve them. Show awareness of existing products like Figma and Canva to position your solution.
Ask clarifying questions to understand the target users (e.g., casual users, professionals) and primary use cases (e.g., quick edits, complex retouching). Define success metrics like engagement and retention.
Outline essential features: real-time collaborative editing, version history, commenting, and asset management. Prioritize features based on user needs and technical feasibility.
Discuss how to handle large image files, real-time synchronization (e.g., operational transforms, CRDTs), and performance optimization. Leverage Google's cloud infrastructure and AI capabilities.
Detail the collaboration model: roles (editor, viewer), permissions, presence indicators, and conflict resolution. Ensure a seamless experience similar to Google Docs.
Explain how to position the product against competitors (e.g., Figma, Canva) and integrate with Google Workspace. Outline a phased rollout and monetization strategy.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.