In sequential screening problems it is found that, under some regularity conditions, local incentive compatibility constraints are sufficient for implementability. However, this follows from the assumption that the possible distributions of the unknown variable satisfy either first-order stochastic dominance or mean-preserving spread. That assumption is matched with private information about either the expected value or the spread of the variable. In this paper we allow for private information about both parameters. In a setting with four possible cost distributions, two with equal expected values and different spreads and two with different expected values and equal spreads, we show that there can be multiple combinations of binding incent...