The article argues that research creates value only when information can change a decision, either immediately or through follow-up choices. In a launch example, one customer study is worth $18,000 when favorable and unfavorable results lead to different actions. But when prior confidence is low enough that neither result changes the launch decision, the same study has negative standalone value.

That changes once research becomes sequential. Using backward induction, the model shows that evidence insufficient after one study can still be valuable because it affects whether another study is worth buying. Research therefore has option value, and the optimal stopping point depends on beliefs, signal quality, costs, and available actions. The practical lesson is to define the decision before commissioning more analysis and stop only when further information no longer changes the best action or next worthwhile question.