Organizations that are anticipating major real estate changes want to frame their space decisions in light of a larger organizational mission, but these insights are difficult to uncover internally. Visioning sessions are designed to pull out those key organization goals that provide valuable leverage points during the real estate decision-making process.
Real Estate decision makers often desire to understand the feasibility of a potential space to fit the needs of its organization's business. Solutions on the market primarily focus on identifying whether a group of occupants can fit into the workspace given its architectural features. However, at Savills we take a more holistic approach by using social research tools to evaluate whether a space fits the work styles of various occupant groups given unique organizational characteristics.
Test fits are architectural exercises to determine the capacity of a space to support its intended uses. By choosing default components and their proportions, our team evaluates the potential of the space in light of physical factors such as circulation, the core, and other physical constriction. At Savills, we also apply social research about the future occupant over the typical architectural test fit exercise, to determine whether a specific space and its physical features can accommodate employee workstyles.
Savills test fits are deployed from both the supply and demand sides. From the supply side, we test whether the occupants fit the building by determining space counts and types that can fit into a site in light of its architectural parameters. And from the demand side, we evaluate whether the building fits the occupants. For latter part of the equation, we research the architectural needs of future occupant workstyles as well as ranking the building’s UX features.
Our data-driven test fits are supported by research such that clients can trace the function and justification for each space type within a test fit. This test fit approach helps clients determine an ideal site selection given its unique organizational characteristics. Furthermore, this data-driven logic allows a client to communicate their spatial decisions to their organization in order to gain buy-in from leadership and staff.