Chapter 13: Data visualization and dashboards

Dashboard evaluation checklist

A good dashboard does more than display data: it reduces cognitive load and directly guides action using evidence-based principles.

Assessment of visual and decision dimensions

Use the sliders to rate each criterion on a scale from 1 to 5.

01. Strategic alignment (Few 2006) 3/5
Do the key performance indicators (KPIs) directly reflect business and decision objectives, or are they passive volume metrics with no direct business connection?
1 — Passive metrics 3 — Mixed useful metrics 5 — Strict decision alignment
Level 3
02. Density and data-ink ratio (Tufte 2001) 3/5
Does the dashboard respect the data-ink ratio? Are non-informative elements minimized so the data stands out?
1 — Visual overload (noise) 3 — Decorative elements present 5 — Strict informational minimalism
Level 3
03. Visual hierarchy and Gestalt (Few 2013) 3/5
Are related elements logically grouped using proximity or similarity? Are major KPIs larger and positioned to guide reading?
1 — Randomly placed elements 3 — Aligned standard grid 5 — Clear Gestalt hierarchy
Level 3
04. Visual encoding and chart selection (Few 2013) 3/5
Are charts suited to the nature of the data—for example, bars for comparison and lines for time? Are overloaded pie charts, 3D charts, and truncated scales avoided?
1 — Poor charts (3D pie charts) 3 — Standard charts 5 — Rigorous, appropriate encoding
Level 3
05. Action orientation and context (Few 2006) 3/5
Is the data contextualized with precise performance targets, historical comparisons, and interpretive labels that guide decisions?
1 — No context (raw numbers) 3 — Basic comparisons (previous period) 5 — Clear targets and action orientation
Level 3

Visual assessment

3.0 Out of 5
Average (needs improvement)

Optimization guidance:

References and academic sources