Dashboard Architecture and Layout Design Questions
Focuses on designing effective dashboards that surface the right information quickly and enable exploration. Topics include logical information hierarchy, placing key performance indicators prominently, grouping related metrics, choosing appropriate visualizations for the data and user tasks, and creating visual flow that guides attention. Also covers interactive features such as filtering, drill down, cross filtering, time range controls, and parameterized views; personalization and role based views; accessibility, clarity, and minimizing cognitive load; backend considerations such as data freshness, aggregation and precomputation, query performance, caching strategies, and API design for dashboards; instrumentation, testing and validation with real user scenarios, and trade offs between flexibility and simplicity.
EasyTechnical
0 practiced
Define what makes an effective KPI on a business dashboard. For a sales executive dashboard, list the decision-oriented criteria you would use (e.g., actionable, measurable, aligned to strategy, timely), propose the top 3 KPIs, and specify their data sources and recommended refresh cadence.
HardTechnical
0 practiced
Design a semantic layer that reconciles metrics across Redshift, BigQuery, Google Analytics, and Salesforce for dashboards. Explain how you'd define canonical metrics, implement translation layers or views, manage lineage/freshness, and resolve conflicting definitions from different teams.
MediumSystem Design
0 practiced
Design RBAC for a BI platform that serves executives, managers, sales reps, and auditors. Include row-level access, column masking, dataset visibility, authentication integration points (SSO), and a testing approach to validate policies are enforced correctly.
HardTechnical
0 practiced
You have billion-row tables: transactions(txn_id, customer_id, product_id, txn_ts, amount), customers(customer_id, region, created_ts), products(product_id, category). A dashboard query joins these and aggregates sales by category for a date range and customer segment. Describe how to rewrite and optimize this for sub-second or low-second performance: indices, partitioning, materialized summaries, columnar stores, or approximate algorithms.
HardSystem Design
0 practiced
Design a dashboard platform to serve 5 million users with peak load of 100k dashboard loads per minute. Requirements: support role-based access, some near-real-time metrics, 99.95% availability, and multi-region users. Describe frontend, backend, caching, pre-aggregation, monitoring, and DR considerations.
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