Dashboard Structure & Actionability Questions
Learn to design dashboards that support decision-making. Organize metrics by user role: executives care about North Star and business outcomes; team leads care about specific channel or feature metrics. Include trends, comparisons, and targets. Practice explaining the purpose of each dashboard tier and how it enables specific decisions.
HardTechnical
23 practiced
Design a technical and operational playbook to detect anomalies and attribute them to data issues versus real business changes. Include automated checks such as schema drift, row-count comparisons, spike in null ratios, freshness checks, a diagnostic dashboard to guide root-cause analysis, alerting tiers, and a rollback plan for dashboards and derived tables.
EasyTechnical
20 practiced
How should targets and benchmarks be displayed on dashboards? Compare absolute targets, percentage-to-target, banded thresholds (red/amber/green), and rolling-baseline benchmarks (for example: 90-day rolling average). Recommend which approach to use for executives versus operational users, and for volatile versus stable metrics.
EasyTechnical
20 practiced
Define the concept of a 'North Star' metric for a product. As a Business Intelligence Analyst for a subscription-based SaaS company, outline a repeatable process to select the North Star. Include at least three candidate metrics (for example: MRR, 28-day active users, engaged-sessions-per-user), the selection criteria (measurable, leading vs lagging, aligned to customer value, ownership), and how you would validate the choice with stakeholders and data.
HardSystem Design
19 practiced
Propose dashboard features and workflows to reduce p-hacking and misuse during exploratory analysis. Your solution should include pre-registration of hypotheses, locking primary metrics for confirmatory experiments, surfacing multiple-testing warnings, and providing separate 'exploration' and 'confirmatory' dashboard modes. Explain how this integrates with experiment metadata and access controls.
MediumTechnical
20 practiced
Your product is global. Describe approaches a BI Analyst can use to compute daily active users, daily revenue, and daily conversion consistently across dashboards for both global and local stakeholders. Address event timestamp handling, whether to report in UTC or user-local time, session attribution, and daylight saving time issues.
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