Best Practices Keynote: A Framework for Making Better Decisions During Product Definition

Traditional data driven decision-making frameworks work best when the options are well defined and uncertainty is low about future states. The fuzzy front end of product development is rarely characterized by these qualities, but companies often use traditional tools when choosing between potential opportunities. These traditional tools (e.g DCF analysis) tend to favor ideas that are low risk and not very innovative. This presentation will detail a decision process for the fuzzy front end of product development that matches opportunities with an appropriate mode of analysis, so truly innovative ideas can be accurately compared alongside less risky propositions.