In this paper, we introduce a multi-user hierarchical video search tool called VIDEOFALL. Our objective, in the Video Browser Showdown (VBS) 2022, is to explore if VIDEOFALL interactive video retrieval under time constraints is a useful approach to take, given the overhead of requiring multiple users. It is our conjecture that combining the different skills of normal users can support a master user to retrieve target videos efficiently. The system is designed on top of the CLIP pre-trained model and the video keyframes are embedded into a vector space in which queries would also be encoded to facilitate retrieval.