A reimagining of how facility managers, engineers, and operations leaders understand the buildings they’re responsible for.
Forty-two years old. Fifteen years managing building systems. She knows her building the way a musician knows their instrument — which AHU runs hot in August, which floor’s controls were rebuilt last year and which were never touched, which alarm at 2am is the one that means get out of bed.
What she could not do — what the tools never let her do — was see her building. Not the floor plan. Not the schematic. The building as it actually behaved.
“I know Floor 8 has high energy consumption. But I have no idea which part of the floor, or which equipment, is causing it.”
She was not the only one carrying this.
The Building Engineer spent 20 minutes answering a question that should have taken 20 seconds — “how many VAVs do we have in the executive offices?” — because the answer lived in three different systems and required him to remember asset IDs by heart.
The Operations Manager spent more time in executive briefings explaining the data than showing the insight, because the data had never been built for someone above the floor.
Three roles. Three different versions of the same weight: the building was a thing that demanded to be decoded before it could be managed.
The brief was a dashboard. A better one — clearer KPIs, faster navigation, less switching between tools. That was the 100K: real, deliverable, defensible in a sprint review. The kind of brief that ships and gets a usability bump and earns a satisfied nod from the customer.
But the brief was not the real question.
The real question was the one Sarah asked, without asking it, every time she opened the existing tools at 2am: “Why am I being made to decode a building I already know?”
A better dashboard would have answered the brief. It would not have answered her question. That gap between them — between the deliverable and the desire underneath it — was the 600K.
The 100K was the milk. The 600K was what I found when I checked the fridge.
So before I drew a single wireframe, I wrote the Leverage Brief. Not what we were building. What it controlled if the vision held all the way through:
That was the 600K. That was what this project actually controlled, if I refused to lose it.
I conducted interviews, on-site observation, and workflow mapping with facility managers, building engineers, and operations leaders across multiple buildings. The patterns were consistent enough that they stopped being patterns and became one diagnosis:
But the biggest insight was the one that changed the project:
“Users weren’t struggling because they lacked data. They were struggling because the data wasn’t connected to the real, physical space they worked in.”
The building was right there. They walked through it every day. The tools had simply never let the building be the way you found anything in it.
So I reframed the brief — not in language for the stakeholders, but in language for myself:
“What if Sarah could explore her data the same way she walks through her building? What if the system could be asked questions in plain English — and answer in the language of the space itself?”
Instead of forcing people to think like software, we let the software think like people.
When I brought the 600K version of this project to the room, the resistance wasn’t disagreement. It was something subtler — they couldn’t see it. The 3D, spatial, conversational version of building management existed only in imagination — mine, and the imagination of anyone who had truly felt what Sarah needed at 2am.
Every design project has a 0% period. It’s called the kickoff meeting. The budget is approved. The whiteboard is blank. When the designer pitches the 600K, everyone nods. And then the pressure arrives — and someone reasonable puts the schematic on the table. The dashboard. Let’s just ship the dashboard. We can do the rest later.
When teams lose a vision, they don’t notice immediately. The experience simply becomes reasonable instead of transformative.
I held this one through building. Not through argument. Every iteration moved the invisible picture one step closer to visible. Every prototype was a small piece of evidence that the 600K version was not a fantasy — it was a few weeks of work away from being something the room could feel.
The rebellion was not in refusing to do the assigned work. The rebellion was refusing to let the assigned work be a dead end.
Spatial before symbolic. Show data where it lives — in rooms, on floors, inside the asset itself. If the user has to translate a number back into space, we’ve already lost time.
Plain language, not menus. Sarah can describe what she wants to know in one sentence. The system should be able to answer it in one sentence. Anything in between is friction that does not serve her.
Progressive depth. Building → floor → room → asset. Each level reveals only what matters at that level. The depth waits for the user, not the other way around.
Anomaly before alert. The system should surface what is unusual before it becomes an emergency — and surface it to the person who can act on it, not to the executive layer above them. Who sees this first determines what it means.
The building, not the dashboard, is the interface. The screen is a window into the building. If the screen ever becomes the thing the user is managing instead of the building, we’ve designed the wrong product.
The campus, alive. Sarah opens the application and sees her building the way she sees it when she walks the perimeter. Energy performance overlays the structure itself, in color and motion, so anomalies are visible before they’re named.
Floor 8, identified in seconds. The high-consumption area Sarah used to spend an afternoon locating now appears as a hot zone the moment she opens the floor. The data isn’t a number anymore. It’s a place.
Ask in English. “How many VAVs in the executive offices?” The system understands the question, finds the assets, and answers — in the language Sarah would have used with another operator standing next to her.
What happens if? Sarah can model a setpoint change, a schedule shift, an equipment failure — and watch the building respond in simulation, before she touches the real one.
Anomaly to action. When the building flags an issue, the system surfaces it to the right person first — Sarah, then the engineer, then up — in an order that protects their work and their judgment. Who receives the insight first determines what it feels like when it arrives.
Not a stakeholder. Not a demo audience. A building operator — fifteen years of expertise in her hands, two decades of being given tools that treated that expertise as irrelevant.
She moved through the virtual building. Saw the anomaly before it surfaced as an alert. Ran the simulation. Saw the outcome. And then she went quiet.
“This is what I always needed. I just didn’t know it existed.”
That sentence is the case study. Everything before it is the work that made it possible.
The 600K is never the bigger version of the 100K. It is a different question altogether — one the brief was never written to ask. The job of the designer is not to deliver the 100K and then also try to find time for the 600K. The job is to make the 600K visible from the first sprint, so that every decision the team makes downstream is a decision toward the version of the product the user will recognize as the one they always needed.
Bring the milk. Always.
But never come home without checking the fridge first.