[heatmap-risk-matrix] Risk Assessment Matrix (Probability vs Impact)

[MarkusNeusinger]

Description

A 5x5 (or NxN) grid heatmap plotting risk likelihood against consequence severity. Cells are color-coded from green (low risk) through yellow/orange to red (critical risk), with individual risks plotted as labeled points.

Key Visual Elements

• Likelihood/probability on one axis (1-5 scale)
• Impact/severity on other axis (1-5 scale)
• Color gradient: green → yellow → orange → red
• Individual risk items as labeled markers
• Risk score = likelihood × impact
• Zone labels (Low, Medium, High, Critical)

Applications

• Project management: risk register visualization
• Enterprise risk management: strategic risk assessment
• Safety engineering: hazard analysis (ISO 31000)
• IT security: threat assessment matrices
• Construction/pharma/military: compliance risk displays

Domain

Risk Analysis / Decision Science

[claude]

✅ Spec ID: heatmap-risk-matrix

Rationale: A 5×5 probability-vs-impact risk assessment matrix is a domain-specific heatmap variant with labeled risk items and zone classifications, distinct from existing generic heatmap specs.

Add label approved to begin generation.

[github-actions]

✅ Specification Ready: heatmap-risk-matrix

PR: #4597

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specification.md

heatmap-risk-matrix: Risk Assessment Matrix (Probability vs Impact)

Description

A 5x5 grid heatmap plotting risk likelihood against consequence severity, used to visualize and prioritize risks in project and enterprise risk management. Cells are color-coded from green (low risk) through yellow and orange to red (critical risk), with individual risk items plotted as labeled markers. The risk score for each cell is the product of likelihood and impact, and zones are labeled to indicate risk severity levels (Low, Medium, High, Critical).

Applications

• Project management risk registers visualizing identified risks by probability and impact
• Enterprise risk management for strategic risk assessment and prioritization (ISO 31000)
• IT security threat assessment matrices mapping threat likelihood against business impact
• Safety engineering hazard analysis in construction, pharma, or military compliance

Data

• risk_name (string) - short label identifying each risk item
• likelihood (integer, 1-5) - probability rating from rare (1) to almost certain (5)
• impact (integer, 1-5) - severity rating from negligible (1) to catastrophic (5)
• category (string, optional) - risk category for grouping (e.g., "Technical", "Financial", "Operational")
• Size: 5-20 individual risk items plotted on the matrix

Notes

• Use a green-yellow-orange-red color gradient for the background grid cells based on the risk score (likelihood x impact)
• Axis labels should use descriptive terms: Likelihood axis (Rare, Unlikely, Possible, Likely, Almost Certain), Impact axis (Negligible, Minor, Moderate, Major, Catastrophic)
• Risk items should be plotted as labeled markers with slight jitter to avoid overlapping when multiple risks share the same cell
• Include zone labels or a legend indicating risk levels: Low (1-4), Medium (5-9), High (10-16), Critical (20-25)
• Grid lines should clearly delineate each cell of the matrix

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Next: Add approved label to merge this specification to main.

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🤖 spec-create workflow

[github-actions]

🚀 Specification Merged!

Specification: heatmap-risk-matrix
PR: #4597 (merged)

The specification is now in main and synced to PostgreSQL.

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Next: Add generate:{library} labels to start generating implementations.

Available libraries: matplotlib, seaborn, plotly, bokeh, altair, plotnine, pygal, highcharts, letsplot

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🤖 spec-create workflow