Whenever I conduct a business case analysis with a client, the model's assumptions are always treated as uncertainties until indicated otherwise. A typical analysis can incorporate anywhere from 10 to 50 such assumptions. The analysis rank orders the most important assumptions by how sensitive the decision metric (e.g, net present value, positive cash flow, sustainable levels of resources, etc.) is to the assumptions and by how likely each assumption might cause regret for taking one course of action over the next best course of action. This latter considerations reveals which uncertainties are critical to achieving satisfaction.
Without doing this kind of analysis, decision makers face thinking through a bewilderingly immense number of implications among the assumptions, which often hampers their ability to commit to action. Sometimes, in an effort to shortcut analysis, decision makers focus on favorite or easy to identify risk factors instead. But this is akin to looking for your keys under a street lamp even though you dropped them in the dark bushes ("But the light is better under the lamp!"). This behavior exposes organizations to undesirable outcomes that could have been anticipated, wasting time and resources fixing potentially avoidable problems.
1. On average, what percentage of the 10-50 assumptions do you think are actually critical to success?
2. How does your company identify critical risk factors and measure their potential impact on important decisions?
3. How does your company ensure that proper attention is placed on important risk factors and not just favorite ones or those easy to identify?