A real estate opportunity can look extraordinary in the first spreadsheet. The problem is that many of the variables supporting that result are still assumptions: price, absorption, costs, timing, occupancy or rent. Our work begins by separating what we know from what we still need to prove.
The assumption is the unit of analysis
Every model depends on assumptions. The important question is not whether they are optimistic or conservative, but what evidence exists to support them. We classify them as observable, estimable within a range or still unproven. The objective is to reduce the third category before committing more capital.
Comparables change the conversation
A benchmark does not decide for the team, but it forces the model to engage with reality. Market, product, costs and operations are tested against comparable data before a figure is accepted because it makes the return work.
A data matrix, not an impression
Every material variable is connected to a source, a date and a responsible person. This makes it possible to distinguish a current fact, a defensible estimate and a dependency that could still change the thesis.
The questions that must survive the committee
A good review asks what would have to happen for the project to stop working, what signal would reveal it and what options would exist then. The base case matters; sensitivity to reality matters more.
From decision to monitoring
Critical assumptions do not disappear when the project is approved. They become control points during development and operations to verify whether the thesis still holds.
Why preserving the history of the decision matters
A conclusion that is valid today may stop being valid in six months. Returning to the information available when the decision was made makes it possible to distinguish an analytical error from a real change in the market or the operation.
What this means for the person providing capital
It means being able to distinguish which part of an opportunity is supported by data, which part depends on an estimate and which part is still a bet. That distinction improves the conversation before investing and the monitoring that follows.