
Amazon QuickSight Q now supports two new natural language question types—"forecast" and "why"—enabling business users to predict future metrics and automatically identify key drivers of data changes without requiring specialized analytics skills.


<div><p>This article announces two new question types in Amazon QuickSight Q: "Forecast" and "Why," enabling non-technical users to perform advanced analytics using natural language.</p><ul><li>Forecast questions predict future metrics using Random Cut Forest algorithm without requiring analyst expertise</li><li>Users can forecast up to three numeric measures simultaneously with simple natural language queries</li><li>Why questions automatically identify key drivers contributing to metric changes through contribution analysis</li><li>Why questions require a measure, date/time span, and "why" starter phrase for analysis</li><li>Both features support filtering and refinement for deeper data exploration</li><li>New question types available at no additional cost to existing QuickSight Q customers</li></ul><p>These new capabilities democratize advanced analytics by allowing business users to forecast trends and understand data drivers without specialized training or technical skills.</p></div>


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