In a sequential hypothesis test, the analyst checks at multiple steps during data collectionwhether sufficient evidence has accrued to make a decision about the tested hypotheses.As soon as sufficient information has been obtained, data collection is terminated. Here,we compare two sequential hypothesis testing procedures that have recently been proposedfor use in psychological research: the Sequential Probability Ratio Test (SPRT; Schnuerch& Erdfelder, 2020) and the Sequential Bayes Factor Test (SBFT; Schönbrodt et al., 2017).We show that although the two methods have been presented as distinct methodologies inthe past, they share many similarities and can even be regarded as two instances of thesame overarching hypothesis testing framework. We demonstrate that the two methods usethe same mechanisms for evidence monitoring and error control, and that differences inefficiency between the methods depend on the exact specification of the statistical modelsinvolved. Given the close relationship between the SPRT and SBFT, we argue that thechoice of the sequential testing method should be regarded as a continuous choice withina unified framework rather than a dichotomous choice between two methods. We presentseveral considerations researchers can make to navigate the design decisions in the SPRTand SBFT.