Workplace change initiatives targeting higher engagement and collaboration levels are testing the limits of today’s technologies, tools, and planning methodologies. Here you’ll see what today’s state-of-the-art combinations of data analytics, qualitative factors, bias and assumption identification, and human-centered design solutions can deliver in terms of optimum project outcomes. Session leaders use a research workplace evolution case study to illustrate the significance of increasingly blurred space types, a broadening array of data collection approaches, processes for converting quantitative data to qualitative measures, and methods for defining physical performance parameters for labs and workplaces.