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RabbitHawk

Methods Library

How the methods behind RabbitHawk actually work

Plain-English explanations of the forecasting, optimization and decision-science methods that power the platform: what each is, why it matters, where teams go wrong, and how RabbitHawk applies it.

Methods

probabilistic forecasting

Probabilistic forecasting

Forecast ranges and likelihoods, not a misleading point forecast.

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hierarchical reconciliation

Hierarchical reconciliation

Make local plans add up to executive truth across every level.

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forecast bias diagnostics

Forecast bias diagnostics

Find the systematic errors quietly distorting your plans.

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context aware forecasting

Context-aware forecasting

Bring the signals your team knows about into the forecast.

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constraint optimization

Constraint optimization

Turn forecasts into the best feasible action under real limits.

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scenario planning

Scenario planning

Stress-test decisions against the futures that could happen.

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closed loop learning

Closed-loop learning

Let every outcome make the next decision sharper.

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human in the loop decision systems

Human-in-the-loop decision systems

Automate the work, keep people in control of the call.

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