Participants incorporate soft data assessment into shaping "most likely" and "downside" projection assumptions for the Business Drivers. Using the last actual values for the Business Drivers, e.g., last year’s sales growth, gross margins, operating expenses as % of sales, accounts receivable days, etc., as the basis for projections, they examine all available information about management targets, competitive forces, and management competence in identifying compelling reasons to alter last actual values in the projection period. They assesses the results of a "most likely" or baseline projection scenario to identify a) borrowing causes, b) cash sources of interest-bearing debt service, c) the financing requirement or surplus, and d) the sources of cash to meet a financing requirement for a borrower or prospective borrower. Participants repeat the process for a "downside" projection scenario in which available soft data suggests further adjustments in an unanticipated crisis for one or more of the "most likely" Business Driver assumptions.