Services/Simulation & Modelling

See what happens before you commit.

Assumptions → variables → scenarios → decision

Why you'd come to us

When a decision is expensive to get wrong, a model lets you explore it first: capacity, resourcing, cost and 'what happens if…' scenarios — with the assumptions on the table where you can challenge them.

Example request

“What happens to staffing, queue times and cost if demand rises 30%? We need to test the decision against our real constraints.”

What BIRTH Systems could do

  • An assumption model you can see and challenge
  • Scenario and capacity/resource modelling
  • Discrete-event or Monte-Carlo simulation where appropriate
  • Constraint and cost modelling
  • Sensitivity analysis — what actually moves the outcome
  • Interactive scenario controls
  • A decision report grounded in the model

What the approach can look like

Technical profile

The dimensions a project in this area typically touches. We only bring in what the objective needs.

Work type

Scenario modelSimulationCapacity modelCost model

Techniques

Scenario modellingDiscrete-eventMonte-CarloConstraintSensitivity

Inputs

AssumptionsConstraintsVariablesHistorical data

Outputs

Scenario engineSensitivity viewDecision reportVisualisations

Original interface studies

Explore the decision space without hiding the assumptions.

Fictional modelling studies showing controlled scenarios, constraints and sensitivity. They demonstrate an interaction and evidence approach, not a forecast or client result.

Fictional scenario control room comparing a baseline with constrained alternative cases.
Scenario studyScenario control room

Assumptions, constraints and outcomes stay together while alternatives are compared.

Fictional sensitivity analysis showing which assumptions most influence the modelled outcome.
Sensitivity studySensitivity analysis

The variables that move the result are separated from those that barely matter.

Illustrative interfaces · fictional data · not client work

What you bring · how we work · what you receive

You may bring

  • The decision and what's driving it
  • Your assumptions and constraints
  • Any historical data to ground it
  • The scenarios you care about

BIRTH Systems

  • Make assumptions and constraints visible
  • Build and challenge the scenario model
  • Test sensitivity and explain the limits

You may receive

  • A model whose assumptions you can see and change
  • Scenario and sensitivity results
  • An interactive way to explore 'what if'
  • A decision report you can act on

How we know it works

Assumptions are shown prominently and validated where data allows. Sensitivity analysis shows which assumptions actually matter — so you know where the risk really sits.

A model is a tool for thinking, not a prediction of reality. We keep its assumptions and limits visible so it's never over-trusted.

Related services

Forecasting & Prediction →Analysis & Research →Data & Data Science →
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