Assumptions and Other Crystal Ball Data Cells

Crystal Ball uses three types of data cells as inputs and outputs:

Every Crystal Ball model must contain at least one assumption and forecast. Decision variables are optional for basic simulations.

Assumptions can have a range of values, defined with probability distributions (About Assumptions and Probability Distributions).

The topics about assumptions provide step-by-step instructions for defining assumption cells in Crystal Ball models so simulations can be run against them. They also describe how to use the Distribution Gallery to organize favorite distributions and define categories of distributions to share with others.

If you are a new user, consider working through Tutorial 1 in Crystal Ball Tutorials, before you read these topics.