Risk-benefit analyses are introduced as a new paradigm for old problems. However, in many cases it is not always necessary to perform a full comprehensive and expensive quantitative risk-benefit assessment to solve the problem, nor is it always possible, given the lack of required date. The choice to continue from a more qualitative to a full quantitative risk-benefit assessment can be made using a tiered approach. In this article, this tiered approach for risk-benefit assessment will be addressed using a decision tree. The tiered approach described uses the same four steps as the risk assessment paradigm: hazard and benefit identification, hazard and benefit characterization, exposure assessment, and risk-benefit characterization, albeit in a different order. For the purpose of this approach, the exposure assessment has been moved upward and the dose-response modeling (part of hazard and benefit characterization) is moved to a later stage. The decision tree includes several stop moments, depending on the situation where the gathered information is sufficient to answer the initial risk-benefit question. The approach has been tested for two food ingredients. The decision tree presented in this article is useful to assist on a case-by-case basis a risk-benefit assessor and policymaker in making informed choices when to stop or continue with a risk-benefit assessment.