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.
MediumTechnical
0 practiced
Describe how you would prioritize information needs across multiple stakeholders using a lightweight scoring framework (e.g., RICE, impact/effort, MoSCoW). Provide a 4-column sample scorecard for three hypothetical metrics and explain how score differences change the dashboard information hierarchy.
EasyTechnical
0 practiced
List best practices for labeling and providing context on dashboards (titles, subtitles, units, last-updated, footnotes) designed for executives. Provide at least eight concrete guidelines and a one-sentence rationale for each guideline.
MediumTechnical
0 practiced
Outline a pattern for documenting metric assumptions, calculation steps, and data sources directly in a dashboard UI. Include at least three UI patterns (tooltip, info modal, side panel) and explain how you would keep the documentation discoverable but unobtrusive.
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.
EasyTechnical
0 practiced
Provide a checklist of at least 10 discovery questions you would ask stakeholders during initial requirements gathering to understand decision-making needs for a new dashboard. Your checklist should cover decision frequency, tolerances for noise and latency, required granularity, preferred delivery channel, and any compliance or access constraints.
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