Sprint / 01 · Models & simulation

Model and Simulation Verification Sprint

A focused verification engagement for teams relying on a model, simulation, algorithm, or analytical method.

  1. 01Scope
  2. 02Investigate
  3. 03Review
  4. 04Handoff

How evidence is built

From the initial question to the handoff.

A technically plausible model can still produce a fragile decision when assumptions, implementation, or sensitivity remain untested.

  1. 01

    Reproduce the baseline

    Capture the model, inputs, environment, expected behavior, and intended decision before changing the method.

  2. 02

    Challenge assumptions

    Run agreed regression, parameter, sensitivity, or uncertainty checks against the controlled baseline, documenting any reproduction blockers.

  3. 03

    Establish the use boundary

    Separate supported findings from unresolved behavior and record what the model can and cannot justify.

Included work

One model. An explicit verification result.

  • Model purpose, decision owner, and acceptance boundary
  • Reproducible execution and baseline verification
  • Parameter sweeps, sensitivity, or uncertainty analysis as scoped
  • Regression checks, assumptions, and limitations

What you receive

Evidence for the model decision.

  • A controlled baseline with verification findings
  • Sensitivity or uncertainty findings, when included in the agreed scope
  • Documented assumptions and failure boundaries
  • A concise decision memo and recommended next step

Engagement fit

The decision this Sprint informs.

Whether the model is implemented correctly and credible enough for its intended decision.

Best for
  • Engineering or scientific leaders relying on a model, simulation, or analytical method
  • Teams inheriting a model whose assumptions or implementation need independent scrutiny
  • Program owners deciding whether a model should advance, change, or stop
What we need from your team
  • A model or analytical method influences a real decision
  • Representative inputs and expected behavior are available
  • The team can define what confidence must be established
Not designed for
  • Formal certification, accreditation, or regulatory approval
  • Rebuilding an entire production model within the Sprint window
  • Claims that extend beyond the supplied inputs and tested conditions

5–10 business days

Bring the model, its intended use, and the confidence you need.

Discuss this Sprint