Method
Context-aware forecasting
Bring the signals your team knows about into the forecast.
Context-aware forecasting explained
What it is
Context-aware forecasting incorporates unstructured signals (supplier emails, promotions, local events, manager notes) alongside structured history.
Why it matters
The disruptions that derail targets rarely live in the database; they live in what people already know but the system never sees.
Where planning teams fail
Context stays trapped in inboxes and spreadsheets, so the forecast reacts only after the actuals move.
How RabbitHawk applies it
RabbitHawk captures context as priors, tests its impact, updates the forecast and records the evidence in an auditable, agentic loop.
Related methods
Keep exploring
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Probabilistic forecasting
Forecast ranges and likelihoods, not a misleading point forecast.
- hierarchical reconciliation
Hierarchical reconciliation
Make local plans add up to executive truth across every level.
- forecast bias diagnostics
Forecast bias diagnostics
Find the systematic errors quietly distorting your plans.
Apply this to your data
See how RabbitHawk would use this method to improve your decisions.
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