{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/6cf17cc6ca1545efa135ce29c433f1c0\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/6cf17cc6ca1545efa135ce29c433f1c0-f0b87103c73ab9e7.gif","duration":291.733333,"title":"Dash360 Risk Admin: Uncertainty Classes","description":"This Loom explains how to set and apply uncertainty classes to cost and schedule risk analysis so contingency from Monte Carlo simulations stays accurate. It covers five uncertainty classes defined in project settings, each with cost and schedule percentage ranges (minimum, most likely, maximum) and an associated distribution method such as PERT, Triangular, uniform, or single point. A basis code mapping lets you assign uncertainty once per basis code instead of line by line, pulling through vendor quotes and catalog prices as realistic while setting engineering judgment more aggressively and historical data more conservatively. The map skips rows where an uncertainty class was explicitly set and preserves deliberate choices while filling only the blanks, including inherited values shown via padlock and italics indicators."}