This paper focuses on the exploration of multi-relational datasets, and the various ways they can be analyzed using relational concept analysis (RCA), a variant of Formal Concept Analysis. RCA uses several scaling operators that make the process highly tunable, allowing a high flexibility in the exploration and in the results. Besides, the multiplicity of choices that can be made when performing an analysis task is potentially overwhelming the expert. We there- fore propose three overlays for helping users controlling, and foreseeing the results of their choices. This proposition is exemplified on a dataset about the quality state of watercourses.