Picture this: a Head of Real Estate is six months from a lease renewal decision on a building that houses 400 people. It's a significant financial commitment, the kind that needs to be defensible to the CFO, and probably the board. The data available to her is a utilisation study from last autumn and a handful of recent complaints from team leaders about overcrowding on certain floors.
Hybrid working patterns at the business have shifted since that study was conducted. She knows Tuesday attendance is probably different now than it was then, but she doesn't know by how much, or whether that shift is permanent or still settling. The quarterly report is three weeks away. The decision can't wait that long.
This is not an unusual situation. For many organisations, it's the standard one.
The fundamental problem with quarterly reports and periodic utilisation studies isn't the quality of the data they contain; it's when that data was collected. Workplace behaviour moves faster than a quarterly review cycle can capture.
"Historically, a lot of workplace and real estate decisions were based on occasional utilisation studies, maybe quarterly reports, or sometimes perception and anecdotal feedback," says Nate Colle of Metrikus. "But the problem now is that workplace behaviour changes far too quickly for those static snapshots to tell the full story."
The 2026 JLL Global Occupancy Planning Benchmarking Report confirms global utilisation reached 56% and that the actual-to-target gap narrowed to 18 percentage points. Both figures check out against the source, so the attribution is solid and you can link directly to that page with confidence.
Hybrid working has made this harder. Attendance patterns vary dramatically by day of the week; research by CBRE consistently finds Tuesday is the peak attendance day across global portfolios, with other days lagging significantly behind. A quarterly report that averages across all of this produces a number that doesn't reflect any individual day, and certainly doesn't tell a real estate team what they need to know about whether a building is genuinely well-used or quietly underperforming.
The risk isn't just that the data is old. It's that static snapshots create very specific kinds of misreading, ones that are hard to catch unless you know what you're looking for.
"One busy Tuesday doesn't necessarily mean the building is consistently well used," says Colle. "And one quiet month doesn't automatically mean spaces should be removed or workspaces redesigned."
This is where organisations tend to get caught out. A building that looks busy on paper, headline occupancy above 50%, might still be generating constant complaints about meeting room availability on the two days per week when attendance spikes. A floor that reads as underutilised in aggregate might be running close to capacity every Wednesday morning, because one large team anchors there. A building that had a quiet quarter might have been affected by a seasonal factor, a team restructure, or a temporary project that's now resolved.
None of these patterns are visible in a quarterly average. They require a continuous, granular view of how a space actually behaves across time, which days, which floors, which hours. Without that, decisions get made on partial information that looks more complete than it is.
Single-building data has limited strategic value for organisations managing multiple sites. The moment you're trying to make estate-level decisions, which buildings to consolidate, which leases to renew, where to invest in redesign, you need to compare.
And comparison at the portfolio scale reveals patterns that individual building reports simply don't show.
"Once they can compare buildings properly, patterns really start to emerge very quickly," says Colle. "You might discover one office is consistently busy on a Tuesday and Wednesday, while others rarely go above 40% occupancy."
This kind of cross-portfolio visibility changes the questions a real estate team can ask. Not just "is this building busy?" but "why does this office feel consistently overcrowded while another with a similar occupancy level feels half empty?" Not just "are we using this space?" but "are the layouts and environments we've invested in actually working and which ones should we replicate elsewhere?"
The strategic value of that comparison isn't only in the insights it produces. It's in what it eliminates: the one-size-fits-all approach to estate management that applies the same policies and assumptions across buildings with fundamentally different usage patterns. Some buildings will have consistent meeting room pressure. Others will have large areas sitting barely used. Some layouts will work extremely well for the teams using them. Others won't. None of that is visible without cross-portfolio data.
The organisations making better estate decisions right now aren't waiting for the next quarterly report. They've changed the cadence at which they engage with workplace data, treating it as a continuous operational input rather than a periodic administrative output.
That shift has practical consequences. It means lease renewal decisions are informed by six months of consistent behavioural data, not a single utilisation snapshot. It means consolidation decisions are based on patterns that have held across different seasons, different team compositions, and different hybrid working policies, not a moment in time that may no longer be representative. It means the conversation with the CFO is grounded in evidence that reflects how the estate is actually being used today.
The industry is moving in this direction regardless. As Colle puts it: "The organisations that are going to perform best over the next few years are those that treat workplace data as something they can use continuously, not just review every quarter."
The question for any real estate leader relying on a quarterly report to make a decision that will shape their estate for the next five years is a simple one: how much has changed since that data was collected?
If you're making portfolio decisions and want to understand what continuous workplace intelligence looks like in practice, we're happy to talk. Explore Metrikus.