dashboard-design

The best way to structure a BI dashboard layout is to define a KPI hierarchy that prioritizes the north star metric, then organize supporting drivers and diagnostics below it to ensure clear insights. This approach applies across tools like Looker, Tableau, and Power BI.

To design a dashboard that aligns with business questions, outline the objective, target audience, and KPI hierarchy first. This ensures the dashboard layout directly conveys the required insights instead of just displaying available data.

To choose the right charts and avoid visualization antipatterns, match each specific data question to an effective visual type. This skill provides chart selection guidance to ensure your dashboard visuals clearly communicate the intended business insights.

Yes, you can use this dashboard design approach for Looker, Tableau, and Power BI. It establishes tool-agnostic best-practice patterns for layout, KPI hierarchy, and data requirements that apply across different BI platforms.

Before building an operational dashboard, check data requirements covering grain, source models, filters, data freshness, and performance. This checklist ensures your dashboard loads quickly and maintains consistent tile behavior.

Your existing dashboard may fail to convey business goals due to a lack of audience-aware layout and defined KPI hierarchy. Refining it with a structured approach aligns visuals and data requirements directly to your business objectives.