← Freshworks Interview Insights
Start by clarifying the business goals and target users of the analytics platform, then outline a phased approach covering data ingestion, storage, processing, and visualization. Emphasize how you would prioritize features based on customer needs and iterate using feedback and metrics.
Pro tip: Anchor your design in a specific customer problem or use case (e.g., 'helping support teams reduce churn by identifying at-risk accounts') to show product thinking, not just technical architecture.
Ask questions to understand the platform's purpose, primary users (e.g., internal teams, external customers), and key business objectives. Define success metrics early.
Outline essential features: data collection, storage, processing, querying, visualization, and sharing. Prioritize based on user needs and technical feasibility.
Propose a high-level architecture covering data sources, ingestion pipelines, storage layers (e.g., data lake, warehouse), processing engines, and APIs. Consider scalability, security, and cost.
Describe how you would launch an MVP, gather user feedback, and measure adoption and impact. Outline a roadmap for future enhancements.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.