MANOVA, or Multivariate Analysis of Variance, requires several key assumptions to ensure valid results: multivariate normality, homogeneity of variance-covariance matrices, and the independence of observations. Violations of these assumptions can lead to incorrect conclusions, so it's crucial to test and verify them before proceeding with analysis.