Reference: Dashboard Patterns & Visualization Catalog

A short catalog of visualization patterns and when to use them. Pick the simplest pattern that supports the decision you want to enable.

Single KPI + Trend

Best for operational KPIs that require a binary or quick decision (e.g., production rate, defect rate, queue length). Show the current value, short-term trend (sparkline), and a green/yellow/red status.

Timeseries with Threshold Bands

Use for metrics where rate or magnitude changes matter and there are operational thresholds (temperature, latency). Shade the area beyond thresholds to make out-of-bounds obvious.

Small Multiples

Compare the same metric across multiple assets, lines, or services (e.g., throughput per machine). Small multiples make patterns and outliers visible without overcrowding a single chart.

Heatmap / Calendar View

Good for spotting recurring patterns, seasonality, or distribution across time and locations (e.g., defects by hour and shift).

Top-N / Pareto

Show contributors to a problem (e.g., top failure modes, top machines by downtime). Useful for prioritizing countermeasures.

Dependency or Topology View

For systems with dependencies (networks, microservices, process flows). Use when diagnosing incidents to surface upstream/downstream impacts.

Table with Conditional Formatting

For operational rosters, inventory levels, or components where operators need to scan many items and spot exceptions quickly.

Annotation & Context Layer

Always include a way to annotate incidents or scheduled changes (maintenance windows). Context explains spikes and prevents misinterpretation.

Tips

• Limit panels per view: fewer, clearer panels are better than many small charts.
• Consistency matters: use the same colors and thresholds across dashboards for the same signals.
• Include filtering controls only when users need to change the scope; avoid hidden filters that silently alter the view.