Output Characteristics
- Dimension parity with capability profile.
- Segment-aware, not one-number scoring.
- Operationally usable by coach workflows.
Technical Depth
Race Intelligence
SigWren translates objective demand into explicit coaching decisions. The model is technical under the hood and readable in daily use.
1. Demand Modelling
Translate course and objective into structured dimensions.
Terrain load, pacing stress, stop-time pressure, and environmental considerations are normalized into consistent dimensions.
Demand Modelling Matrix
2. Capability Profiling
Athlete model in the same dimensions as race demand.
Current athlete state is represented across identical dimensions, enabling direct comparisons and transparent interpretations.
Capability Profile
Profiling Sources
Capability status combines historical runs, daily readiness, test protocols, and coach observations to keep the profile realistic and current.
3. Gap Analysis Engine
Compare demand versus capability with visible priorities.
The gap engine highlights where preparation is sufficient, marginal, or behind so interventions can be prioritized quickly.
Gap Analysis Engine
Decision Utility
Gaps are surfaced in coach language with explicit dimension context and confidence, then tied to planning and communication actions.
4. Constraint Layer
Safety checks and override workflow remain explicit.
Ramp limits, readiness checks, and documented overrides enforce structure while preserving coach control.
Constraint Layer Checks
Override Workflow
5. Segment-Level Strategy
Pacing and aid station planning tied to modeled demand.
Segment strategy translates model outputs into race-day pacing, terrain stress management, and stop-time guidance.
Segment Strategy Breakdown
Race Strategy Modal
Model integrity with coach readability.
SigWren keeps technical structure intact while presenting outputs in a format coaches can use during daily operations.