Intelligence analysis is changing in its the breadth and scope, bringing forth many new problems and challenges. Problems are increasing in volume, scope, and context. In response to changes, new technologies and the utilization of teams to conduct analysis have become imperative. Yet, though both are individually perceived as important, less consideration is given to collaborative technologies in intelligence analysis. More specifically, there is limited understanding of how to develop and design them in a meaningful and impactful way for the analysts. In this paper, through a review of the literature, our own work, and anecdotal reports from subject matter experts, we outline multiple human factors guidelines that are beneficial in studying and designing collaborative intelligence analysis technologies and tools. We conclude by highlighting multiple challenges specific to developing collaborative technologies in intelligence analysis.