Audience Analysis and Information Hierarchy Questions
Assessing stakeholder needs, information priorities, and decision-making requirements. Designing tailored views for different audiences (executives, product managers, analysts). Understanding different decision contexts and how they shape information needs.
EasyTechnical
0 practiced
Explain progressive disclosure in dashboards and give three concrete UX patterns that implement it (for example: expandable rows, drill-to-detail, collapsed advanced filters). For each pattern, list one benefit and one potential pitfall when applied to analytics dashboards.
MediumTechnical
0 practiced
Executives rarely interact with a specific dashboard panel. Outline an analytical approach to diagnose why (telemetry analysis, session recordings, interviews). Propose at least four hypotheses (e.g., irrelevant content, poor placement, slow queries, confusing labels) and tests or metrics to validate each hypothesis.
HardTechnical
0 practiced
A stakeholder requests a single page with 12 KPIs, all equally prominent. How would you push back constructively, propose an alternative information hierarchy with grouping and prioritization, and provide a short justification grounded in cognitive-load research or UX principles?
MediumTechnical
0 practiced
Write an ANSI SQL query that computes weekly active users (WAU) segmented by device_type with week-over-week percentage change and flags any device-week where the change magnitude exceeds 20%. Assume a table events(user_id, device_type, occurred_at). Describe how you'd handle bots or automated traffic.
HardTechnical
0 practiced
A stakeholder asks for 'real-time' KPI updates but your data pipeline only ingests hourly batches. How would you negotiate expectations and present alternatives such as approximate real-time metrics, streaming proof-of-concept, or UX-level solutions? Discuss trade-offs in cost, accuracy, and latency.
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