Start with what you know.
Put costs, benefits, and timing into plain-language assumptions. Use low, likely, and high where a single number won’t do.
For finance & strategy / Decision support
Build an investment case you can examine. Model uncertain costs, benefits, and timing. Understand the range of returns—and the assumptions that could change the decision.
01 / InputsExplicit assumptions
02 / AnalysisReproducible results
03 / DecisionA record of your reasoning
A little room for uncertainty
A project’s return depends on things you don’t know yet. Give those assumptions room to vary, and see the range they could produce.
A little uncertainty can change the whole picture. Move across the curve, or tap to give it a new shape.
The approach
Work through the questions behind a recommendation: what are we assuming, what could change, and why does this decision make sense?
Put costs, benefits, and timing into plain-language assumptions. Use low, likely, and high where a single number won’t do.
Explore the range of modeled returns, how often your goal is met, and which assumptions contribute most to uncertainty.
Save the model, results, and rationale behind a decision. Revisit what you knew when you made it.
For the decisions on your desk
Take a proposed automation project. The setup cost is fairly clear. Adoption, hours saved, and the time to get there are less certain.
Model those assumptions together to explore whether the benefits could outweigh the costs.
Illustrative project / Process automation
Explore the range of returns. See which assumptions deserve a closer look.
See how a model becomes a decisionPut your assumptions to work
Start with a project you’re considering.
Make the assumptions explicit. Explore what could change.
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