1 Operational Inputs

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Enter current operational conditions (short-horizon: days to weeks)

Severity (1–4)

Budget Δ (USD)

Manpower Δ (FTE surge)

Tempo (%)

PAO Risk

High public/media sensitivity

Mode

Location

Analyst Notes (optional)

2 Decision Explainability

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Computation Formula

Base = — • × mode — • + loc — → clamped [0,100]

Contribution Breakdown

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Scenario Summary

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3 Recommended Actions

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Run the model to see posture-aligned actions here.

4 Saved Scenarios

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Import JSON

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5 Fine-tune Weights

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w_sev

w_budget

w_man

w_tempo

w_pao

6 Definitions & Methodology

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Term Definitions

Term	Definition
Severity (1–4)	1=indicator; 2=suspected release; 3=confirmed hazard with civilian risk; 4=mass impact.
Budget Δ	Near-term funding gap (+ shortfall / − relief). Transformed by sign-preserving √.
Manpower Δ	Surge personnel needed now (not annual billets).
Tempo (%)	Expected operational intensity over next 7–14 days.
PAO Risk	Public affairs risk (0/1). If 1, synchronized messaging required.
Mode	Context class that scales impact via multiplier.
Location	Fixed uplift for dense/strategic sites.
Decision	Monitor (<50), Surge/Prepare (50–79), Escalate (≥80).

Scoring Formula

Score_raw = (18×Severity) + (0.002×f_budget(Δ$)) + (1.8×ΔFTE) + (0.25×Tempo) + (4×PAO)
Score_mode = Score_raw × m(Mode)
Score_loc  = Score_mode + bump(Location)
Final      = clamp(Score_loc, 0, 100)

f_budget(Δ$) = sign(Δ$) × √|Δ$|