Practical guides on dashboard wireframing, design best practices, and building dashboards people actually use.
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A comprehensive reference covering every major dashboard design decision: metrics, chart types, layout, color, labels, filters, mobile, performance, and the wireframe step.
Read article ResourcesA practical checklist to align stakeholders, clarify requirements, and avoid the common traps that lead to dashboards no one uses.
Read article GuidesLearn how to wireframe a dashboard before building it in Power BI, Tableau, or Looker Studio. A practical guide for BI analysts and data teams.
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How to design executive dashboards that get used: the 3-5 KPI rule, inverted pyramid layout, chart type selection, and the comparison context every executive needs.
A practical guide to presenting dashboards and data to stakeholders. Covers the 3-slide framework, audience types, remote presentation tips, and common anti-patterns.
12 Power BI-specific best practices covering canvas size, visual limits, KPI cards, tooltips, bookmarks, color themes, drill-through, and performance optimization.
A comparison of the best free tools for wireframing dashboards: datawirefra.me, Figma, Miro, Balsamiq, Excalidraw, and more. Find the right tool for your workflow.
A visual guide to the 12 most effective dashboard layout patterns — from KPI rows and quadrant layouts to monitoring walls and mobile-first card stacks.
You don't need design skills to wireframe. This guide covers everything BI analysts, product managers, and consultants need to know to wireframe effectively.
The right number of KPIs is 5-9 for most dashboards — but it depends on audience, purpose, and layout. Here's a framework to decide for your specific case.
A repeatable framework for gathering dashboard requirements, plus a ready-to-use template. Stop building dashboards based on guesswork.
Most dashboards fail not because of bad data or bad tooling — they fail because the analyst and the stakeholder were solving different problems.
The same dashboard design mistakes show up in almost every BI project. Here's what they are and how to fix each one before you build.