• First, develop questions about alternatives and the range of acceptable uncertainty
• Second, validate the technique and model using validation data
• Third, repeat the analysis for each alternative to be evaluated
• Finally, the best-performing alternatives can be evaluated for sensitivity to other factors or scenarios