Checklist

Operational Dashboard Design Cheat Sheet

A practical, interactive checklist to evaluate and document operational dashboards so they reduce cognitive load, prompt correct action, and earn user trust.

Interactive Tool

Operational Dashboard Design Checklist

Use this checklist to evaluate a dashboard before it goes live or as part of a regular review. Each item captures whether a design principle is applied, who owns it, and short evidence or next steps. The goal is clear, actionable dashboards that reduce noise and help teams make fast, correct decisions.

Instructions: Fill the dashboard metadata, review each design principle, mark whether it is applied, name an owner for any gaps, and add short evidence or action items. Save answers to keep a record for follow-up and continuous improvement.

Unique name so teams can find and version this dashboard (e.g., 'Line 3 Shift Dashboard - Packaging').
Who will use this dashboard most often? (e.g., operators, shift lead, plant manager)
Choose the cadence appropriate to the process and decisions being supported.
List the systems/feeds used by the dashboard (e.g., PLC, MES, WMS, ticketing system).
Record when this dashboard will be reviewed again (YYYY-MM-DD).
Good dashboards support a single main question (e.g., 'Is my line fit to run this shift?').
Person accountable for ensuring the dashboard stays focused.
Short note about how the dashboard matches the intent or what to reduce/change.
Primary KPIs should be visible immediately and aligned with the audience's decision needs.
Who maintains definitions and thresholds for these KPIs?
List the 3–5 primary KPIs and their definitions or link to a KPI dictionary.
Trends (short, medium, long) help users know whether a condition is improving or worsening.
Who ensures trend windows and smoothing are appropriate?
Examples: 1-hour vs. 24-hour trend, moving average applied, anomaly callouts.
Each actionable item or alert should have a documented owner or escalation path visible or linked.
Person who maintains responder lists and SLA expectations.
Where ownership is documented (handbook, runbook, ticket queue) or what to add.
Avoid decorative color. Use color consistently for severity and status only.
Person responsible for the dashboard style guide and accessibility checks.
Notes about palette, colorblind-safe choices, or non-color encodings used.
Annotations prevent confusion during maintenance, experiments, or known outages.
Who updates incident annotations and experiment statuses?
Examples of recent annotations or missing expected notes.
Choose the widgets the dashboard contains. Ensure each selected widget links to clear actions or owners.
Describe any other widget not listed above.
Identify the scale so layout, KPI density, and update frequency match audience needs.
Estimate current risk of false or noisy alerts that may cause alarm fatigue.
1.0 10.0
How critical is it that these improvements happen in the next review cycle?
1.0 10.0
Concrete next steps, owners, and deadlines (e.g., remove 'utilization' chart, link runbook, set alert threshold).
Mark when you consider the dashboard fit-for-purpose for its audience.
Person completing this checklist.
Date of this review (YYYY-MM-DD).
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