In this column, I usually provide a number of data points and insights to digest as you look across office, industrial, retail and multi-residential real estate.

Typically, those insights have come through examples and case studies. We have looked at what the 50-plus demographic wants and needs from the built environment.

We have examined snow-clearing data and what the numbers tell us about the value of a robust winter operations process. And, unsurprisingly, we have spent a considerable amount of time over the past 12 months looking at AI, how it is changing real estate and where it may take us next.

But there is one question we haven't spent enough time discussing: Why?

Why do we collect all this information in the first place? Why are owners and managers increasingly interested in understanding the preferences and behaviours of the people using their buildings? And, perhaps more importantly, how are our clients and the broader commercial real estate industry actually using this new layer of intelligence?

This month, I want to look at just that.

The importance of good data

Because something interesting is happening across the industry. Access to occupant and user intelligence is moving beyond being a useful research exercise or an occasional survey.

It is increasingly becoming part of how real estate organizations plan, operate, lease, position, conduct due diligence, raise capital, speak with investors and invest in their assets.

And once organizations begin using this information, it tends to become sticky.

Property and asset managers may initially use occupant preference data to understand amenities, programming, service expectations or operational priorities. But very quickly, other groups within the organization begin seeing applications for the same intelligence.

Leasing teams can use it to better understand what prospective occupants value and how a building should be positioned.

Brokerage teams can bring another dimension of evidence into conversations with landlords and tenants or, on a sales side, potential buyers.

Investor relations and capital-raising teams can use occupant intelligence to help articulate why a portfolio is positioned for changing customer expectations, justify a core versus value-add asset, and provide underlying intelligence allowing more informed decisions.

Even government relations teams are finding value in the data, using statistically grounded examples to demonstrate what the customers of the built environment actually want and need when discussing policy, regulation and investment.

The common denominator is simple: better information about the customer can lead to better real estate decisions.

The occupant is the ultimate customer

In real estate, we spend enormous amounts of time analyzing buildings.

We study rents, operating costs, cap rates, construction costs, absorption, demographics, energy performance, utilization and countless other metrics. All of this information matters.

But there is another dataset that historically has been far less structured: the preferences of the people who actually use the buildings.

Whether they are office employees, apartment residents, shoppers, industrial employees, tenants, visitors or other users, occupants ultimately experience the decisions our industry makes.

They use the amenities. They interact with technology. They live with the design choices. They participate in or ignore the programming. They experience the service, security, comfort and convenience of a property every day.

So why wouldn't we systematically ask them what they want?

At simplydbs, this is one of the reasons we conduct preference surveys regularly for individual clients as well as market-wide. The objective isn't simply to produce another satisfaction score. It is to develop a continually evolving understanding of what occupants value today, what they want next, and how those expectations are changing.

Turning assumptions into evidence

Think about the number of decisions made throughout the lifecycle of a property.

Developers determine layouts, common areas and amenity packages. Owners make capital investment decisions. Asset managers establish priorities and budgets. Property managers develop programming and service strategies. Leasing teams position buildings in competitive markets. Technology teams evaluate new platforms and systems.

Behind almost every one of those decisions is an assumption about what someone will value.

Occupant preference research gives us an opportunity to test those assumptions.

Instead of deciding that a particular amenity sounds appealing, we can ask occupants to rank it against other choices. Instead of assuming everyone wants the newest technology, we can determine which technologies actually make their experience better. Instead of adding more programming because engagement sounds desirable, we can identify what people will genuinely participate in.

And instead of viewing each of these questions independently, we can begin to understand the trade-offs occupants make.

That becomes especially valuable when capital is constrained. Every dollar allocated to one improvement is a dollar unavailable for something else.

Knowing what occupants value can help distinguish between what is interesting and what is important.

From amenities to everything in between

The intelligence isn't limited to amenities.

We can ask about design features, building systems, technology, programming, communication, food and beverage, mobility, sustainability, health and wellness, safety and security, service levels and virtually every other component of the building experience.

We can also explore how those priorities differ by age, location, building type or user group.

And because preferences aren't static, the research needs to be repeated.

What people expected from an office five years ago isn't necessarily what they expect today. The same is true in multi-residential, retail and industrial environments. Expectations around flexibility, wellness, technology, sustainability, convenience and experience continue to evolve.

This is where combining property-specific surveys with market-wide research becomes particularly powerful.

An owner can understand what occupants in their building are saying while simultaneously benchmarking those responses against a larger market. Are their occupants typical? Are expectations changing faster within their portfolio? Is something emerging across the market that hasn't yet appeared strongly within their own buildings?

Those are much more actionable questions.

One dataset, many users

Perhaps the biggest shift we're seeing is organizational. Occupant intelligence no longer belongs solely to the property management team.

A finding about desired amenities may influence an operating budget today, a leasing strategy tomorrow, and a capital plan three years from now.

A preference around sustainability might inform building operations while also becoming useful to investor relations or government relations.

Data showing how occupants value a particular feature can help a brokerage team tell a more compelling leasing story while simultaneously helping ownership evaluate whether further investment is justified.

The same intelligence begins travelling through the organization. And that is where its value compounds.

Listen, learn and then, act

The purpose of occupant research isn't to suggest that every request should be implemented.

Real estate decisions still require balancing economics, operational realities, sustainability, long-term strategy and competing priorities. But those decisions can now be informed by much better evidence about what the customer actually values.

And ultimately, that is where this becomes more than a conversation about surveys, amenities, or occupant experience. It becomes a conversation about performance.

If better intelligence helps an owner invest in the things occupants value most, that can strengthen satisfaction and retention. If it helps a leasing team better position an asset, it can support demand and reduce friction in the leasing process. If it helps an asset manager distinguish between a capital improvement that matters and one that doesn't, it can lead to better allocation of scarce capital.

Those decisions can eventually show up in the numbers: stronger retention, better leasing outcomes, more disciplined capital spending, higher NOI and, ultimately, better-performing assets.

Our industry has become extraordinarily sophisticated at understanding the financial and physical performance of buildings. The opportunity now is to become equally sophisticated about understanding the people whose decisions ultimately influence that performance.

Because the occupant isn't simply the person using the building. They are the customer. And the better we understand the customer, the better decisions we can make about where to operate, invest and improve.

Better information leads to better decisions. Better decisions lead to better-performing real estate. And better-performing real estate creates value.