core analysis module

Readiness Scoring

Translate observed movement behavior into a deterministic readiness score aligned to doctrine, mission type, and training objectives. This module converts raw execution signals into a defensible assessment score teams can use for evaluation, certification, and corrective action.

KEY SIGNALS SURFACED
  • Aggregate readiness score by mission, exercise, or evaluation period
  • Signal weighted alignment to doctrine thresholds
  • Consistency of execution across phases
  • Degradation trends across repeated runs
  • Instructor override and annotation points
readiness intelligence

Why This Signal Matters

Readiness is often inferred, debated, or reconstructed after the fact. Scores are frequently based on subjective judgment, incomplete evidence, or inconsistent standards across instructors and units.

Without a structured scoring model, teams struggle to distinguish acceptable variance from true readiness gaps. This creates disagreement, erodes trust in evaluations, and weakens after-action learning.

The Readiness Scoring module converts observable execution signals into a clear, repeatable score. It anchors assessment in behavior rather than narrative and ensures readiness discussions start from shared ground.

What Becomes Visible

This module consolidates multiple execution signals into a single readiness view without flattening nuance or context.
Execution Signals Exposed
  • Deviation severity and duration
  • Recovery effectiveness
  • Dwell accumulation across phases
  • Movement consistency by mission segment
  • Instructor-defined priority signals
Decisions This Enables
  • Objective readiness comparisons across teams
  • Clear pass, caution, and fail thresholds aligned to doctrine
  • Faster identification of training gaps
  • Consistent scoring across instructors
  • Defensible readiness reporting

How Teams Use This Signal

During Operations or Training
  • Monitor readiness in near-real time
  • Flag degradation before mission failure
  • Focus instruction on the highest impact gaps
During Review and Evaluation
  • Anchor debriefs in scored evidence
  • Reduce subjective scoring variance
  • Track readiness trends across time
  • Support promotion, certification, or progression decisions
Integration snapshot

Integration & Deployment

Designed for direct adoption inside existing mission systems.

Data Interface
Inputs
  • Planned routes and mission definitions
  • Executed movement telemetry
  • Mission metadata and timestamps
  • Instructor configuration parameters
Outputs
  • Deterministic readiness score objects
  • Signal-level score breakdowns
  • Readiness trend summaries
  • JSON outputs for downstream systems
  • Optional PDF after-action report extract
Execution & Control
Deployment Models
  • Standalone Python module
  • Containerized microservice
  • API-ready integration
  • Air-gapped compatible
Configuration
  • Doctrine thresholds defined in configuration files
  • Mission-specific weighting profiles
  • Instructor-adjustable parameters
  • Core algorithms remain fixed and deterministic
Security
Deployment models and licensing are tailored by environment and mission constraints.
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