CASE STUDY · IOT PRODUCT DEVELOPMENT
IoT Workplace Analytics
A network of IoT sensors and deep market knowledge, turned into a finished analytics product in 10 months — seven modules that take a client from “sensors on desks” to a decision-ready report. New domain for us, and a codebase entirely theirs to keep.
the problem
The gap between “sensors on desks” and a usable product
Tomorrow came to us with the foundations of a product, but not the product itself – the concept, the market research, and a working network of IoT sensors, yet no software to turn raw readings into something a client could act on. The challenge was twofold: integrate IoT hardware into a stable application, and translate continuous occupancy data into clear, decision-ready metrics and reports.
From concept to finished product
What we did
We took the project end to end – requirements gathering, UX, frontend, and backend. Rather than designing around someone else’s build, we owned the full stack: shaping the product with the client, then building it. We worked in the open: weekly working sessions where requirements, designs, and decisions were shaped together – not handed down as a spec for someone to guess at.
What we built
A desktop analytics application that runs the entire workflow: setting up a sensor study, collecting data from the sensor network, and reporting the results. Seven modules – a study Configurator and technician-led sensor setup, Overview, Capacity Monitoring, Reports, Recommendations, sensor & alert management, and Settings – take a client from “sensors on desks” to a finished report on how their space performs. Everything we built was Tomorrow’s to keep – the product and the codebase, theirs.
10 months, start to finish
October 2022
First meetings and discovery
We sat down with Tomorrow to understand the product they envisioned, the market they knew, and the sensor network they’d already built.
October 2022 – March 2023
Requirements and iterative design
Across weekly working sessions, we shaped requirements and designs together — decisions made in the room, not handed over as a spec to guess at.
End of March 2023
Development begins
With the product direction agreed and designs in hand, we moved into building — frontend, backend, and IoT integration.
July 2023
Development complete
A working product: seven modules taking a client from sensors on desks to a finished report.
What IoT Workplace Analytics actually does
Set up a study in a few guided steps
Define spaces, teams, and benchmarks, then map sensors to individual desks – all through a step-by-step wizard. No technical setup, no spreadsheets: the person running the study configures it themselves.
Deployment that doesn't wait on IT
A guided on-site flow for installing and replacing sensors, walking a technician through each step. Setup and swaps happen without pulling in the client's IT team.
The whole workspace, at a glance
Occupancy, utilization trends, and key workplace metrics in a single view – the fastest way to see how space is actually being used.
Usage, broken down the way you need it
Live and historical space usage by department, space type, and time slot, with side-by-side comparisons to spot what's over- and under-used.
From raw readings to a shareable result
Generated result reports plus user-saved views, ready to hand to stakeholders – the end point of the sensor-to-report flow.
What the data says to do next
Data-backed suggestions for reducing space and moving toward a hybrid model, turning measurement into a decision.
Why this project
Tomorrow’s product lived in a field we hadn’t built in before – and that’s the point. Most teams stay in their lane; we treat an unfamiliar domain as something to master, not avoid. We absorbed the client’s market knowledge, took the IoT hardware as a technical problem to solve, and turned a concept-plus-sensors into a working product. If your idea sits in territory no one has productized yet, that’s exactly the kind of problem we step into – so the risk of going first isn’t yours to carry alone.