Interactive Reporting and User Experience Questions
Design dashboards with appropriate interactivity: filters, drill-downs, tooltips, and bookmarks. Balance flexibility with simplicity; avoid analysis paralysis from too many filters. Understand how to guide users toward insights through progressive disclosure.
MediumTechnical
89 practiced
Discuss the trade-offs between pre-aggregated cubes/materialized views and live queries for interactive dashboards that support many ad-hoc filters. Include considerations of freshness, latency, storage cost, and complexity for a product analytics workload with frequent ad-hoc segmentation.
HardTechnical
95 practiced
Describe how to implement a context-aware drill-through: when a user selects a row in a summary table, it opens a detail report with filters pre-applied and additional related context. Explain implementation in Looker, Power BI, or Tableau, including how to pass context parameters and maintain provenance for auditing.
HardSystem Design
71 practiced
You have a domain with thousands of dimensions and metrics. Design a UX and data-layer strategy that enables progressive disclosure so users can find relevant dimensions without being overwhelmed. Include metadata, search, popularity signals, faceted browsing, and backend indexes you would build.
EasyTechnical
68 practiced
Compare and contrast filters and parameters (variables) in BI tools like Power BI, Tableau, and Looker. For each tool, explain typical use cases, how they affect query execution and caching, and guidance on when to choose a parameter over a filter in a dashboard intended for both exploratory analysts and non-technical executives.
MediumTechnical
79 practiced
Design filter UI controls that are accessible to keyboard and screen-reader users. For a multi-select filter (selecting product categories), specify ARIA roles, keyboard interactions, focus behavior, and how selected state is announced to assistive technologies.
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