Answer: Multiple T test or Jonckheere-Terpstra Test.

Kruskal-Wallis Test

The Kruskal-Wallis H test (sometimes also called the "one-way ANOVA on ranks") is a rank-based nonparametric test that can be used to determine if there are statistically significant differences between two or more groups of an independent variable on a continuous or ordinal dependent variable. It is considered the nonparametric alternative to the one-way ANOVA, and an extension of the Mann-Whitney U test to allow the comparison of more than two independent groups.
It is important to realize that the Kruskal-Wallis H test is an omnibus test statistic and cannot tell you which specific groups of your independent variable are statistically significantly different from each other; it only tells you that at least two groups were different. Since you may have three, four, five or more groups in your study design, determining which of these groups differ from each other is important. You can do this using a post hoc test (N.B., we discuss post hoc tests later in this guide).
Note: If you wish to take into account the ordinal nature of an independent variable and have an ordered alternative hypothesis, you could run a Jonckheere-Terpstra test instead of the Kruskal-Wallis H test.
ref: https://statistics.laerd.com/spss-tutorials/kruskal-wallis-h-test-using-spss-statistics.php

Jonckheere-Terpstra Test

The Jonckheere-Terpstra test is a rank-based nonparametric test that can be used to determine if there is a statistically significant trend between an ordinal independent variable and a continuous or ordinal dependent variable. The Jonckheere-Terpstra test tests for an ordered difference in medians where you need to state the direction of this order (this will become clearer below). It is also known as the Jonckheere-Terpstra test for ordered alternatives.