Dashboard and Data Visualization Design Questions

Principles and practices for designing, prototyping, and implementing visual artifacts and interactive dashboards that surface insights and support decision making. Topics include information architecture and layout, chart and visual encoding selection for comparisons trends distributions and relationships, annotation and labeling, effective use of color and white space, and trade offs between overview and detail. The topic covers interactive patterns such as filters drill downs tooltips and bookmarks and decision frameworks for when interactivity adds user value versus complexity. It also encompasses translating analytic questions into metrics grouping related measures, wireframing and prototyping, performance and data latency considerations for large data sets, accessibility and mobile responsiveness, data integrity and maintenance, and how statistical concepts such as statistical significance confidence intervals and effect sizes influence visualization choices.

MediumTechnical

0 practiced

A chart shows conversion rate over time with monthly bars. The stakeholder thinks a recent decline is significant. How would you assess whether this decline is statistically significant, and how would you show that result on the dashboard (visuals and annotations)? Specify the tests and visualization techniques you would use.

HardTechnical

0 practiced

Explain how effect sizes and confidence intervals should influence choices in visual encoding when presenting experimental results on a dashboard. Provide specific examples of misleading encodings to avoid.

MediumTechnical

1 practiced

Describe how you would implement tooltips and drilldowns to reveal detailed data without cluttering the main dashboard. Provide rules for when to use each pattern and an example interaction flow for a sales chart.

EasyTechnical

1 practiced

Write a short checklist (6-10 items) you would use when reviewing someone else's dashboard prototype before a stakeholder demo. Items should include both visual and data-quality checks.

MediumTechnical

0 practiced

Propose a set of visual guidelines and a template for annotating time-series dashboards with business events (e.g., marketing campaigns, outages). Include rules for annotation placement, color choice, and user controls to toggle visibility.

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