What Is WIN (Workspace Intelligence Network)?

As coworking has matured from an alternative workplace movement into a recognised asset class, one gap has followed operators of every size: the absence of reliable industry benchmarks. Most businesses have deep visibility into their own performance and can recite their occupancy, revenue, membership mix, meeting-room utilisation, and retention from memory. What they usually lack is context. Is 82% occupancy strong for a suburban workspace, or merely average? Are meeting-room revenues growing faster elsewhere? Does this month's churn look normal next to comparable operators, or is it a warning sign? These questions are common across the industry, and historically there has been no consistent way to answer them. The Workspace Intelligence Network, known as WIN, was created to change that. It is one of the most significant operator-led efforts to build a shared benchmarking layer for coworking and flexible workspace, and its goal is direct: let operators contribute anonymised business data and receive, in return, benchmarks and insights no single business could generate on its own. In effect, WIN is trying to do for coworking what established benchmarking bodies have long done for hotels, healthcare, retail, and traditional commercial real estate. It is best understood as one part of a wider move toward shared data across the industry.

Coworking has spent much of its history operating on fragmented information. Operators share experiences freely through communities, conferences, and peer groups, but structured operational data has been far harder to come by, which leaves many decisions resting on local market knowledge and individual experience. The limitation shows up in moments that matter. An operator might know occupancy has risen five points year on year without being able to tell whether that reflects their own improvements or a rising tide lifting the whole market, and that distinction changes how they should invest next. Investors and landlords face a version of the same problem. Those exploring flex partnerships often struggle to set realistic performance expectations across different markets, and analysts frequently work with incomplete datasets. WIN was established to assemble a larger, more representative picture of the industry on the premise that operators benefit individually when they contribute to a pool of intelligence that is broader and more informative than anything they hold alone.

The model is relatively straightforward. Participating operators contribute operational data through a structured process designed to protect confidentiality while still allowing meaningful aggregation, and rather than exposing any individual business, the network produces anonymised benchmarks and industry insights. That distinction is the whole foundation. For a benchmarking initiative to work, operators have to trust that sensitive figures stay protected, and the value has to come from understanding trends, averages, and market patterns rather than from identifying any one company's performance. The result is a shared resource where contributors gain access to insight that would otherwise be out of reach, and the quality of that insight improves as more operators take part. This network effect is exactly why benchmarking initiatives tend to compound in value over time, and it is also why the early stage is the hardest.

The specific metrics evolve, but the broader aim is consistent visibility into the operational and commercial indicators that define a coworking business. In practice that tends to span occupancy performance, membership trends, revenue metrics, meeting-room utilisation, market growth, workspace demand, and portfolio-level performance. Taken one at a time, these figures are useful to any operator. Aggregated across many businesses, they become genuine industry intelligence. Knowing whether occupancy is improving nationally helps an operator read their own local performance more accurately, and seeing how different workspace formats are trending supports sharper decisions on product mix, pricing, and expansion. The value comes from context far more than from any raw number, which is also the case we make in our guide to the metrics worth tracking every week.

Coworking is operating in a very different environment than it was a decade ago. Flex space now features in mainstream commercial real estate conversations, institutional investors are paying closer attention, landlords are exploring management agreements and partnership models, and enterprise occupiers make up a growing share of demand. As the industry matures, the expectations around reporting and transparency rise with it, and benchmarking is central to meeting them. Reliable industry data helps operators validate decisions, understand where they sit in the market, plan expansion with fewer assumptions, sharpen investor communications, and assess operational efficiency against real comparators. It also helps the people outside the business, from lenders to landlords, understand what running a flex workspace actually looks like. For years, the absence of standardised market intelligence has been one of coworking's quiet handicaps, and WIN is a direct attempt to remove it.

The most important thing to understand about WIN is that its success depends entirely on participation. Unlike traditional research firms that buy or collect data independently, WIN relies on operators actively contributing, which creates a clear dynamic: every participant benefits from stronger benchmarks, but the strength of those benchmarks depends on enough operators being willing to share. The challenge is not unique to coworking, since the same pattern governs benchmarking networks across many industries, but coworking is still early in the journey, and the projects that reach critical mass tend to be the ones operators trust enough to feed consistently.

WIN sits within a broader shift across the sector, as operators increasingly recognise that collaborating around data creates value that extends well beyond any single business. Alongside the OpenOps Project, market observatories, and other industry research efforts, WIN represents a growing appetite for shared intelligence that does not depend on giving up competitive ground. Better benchmarks help operators make better calls, better data improves market transparency, and better visibility supports the long-term credibility of the whole industry.

The future value of WIN will rest on three things. The first is participation, because larger and more diverse datasets produce stronger benchmarks. The second is trust, because operators have to stay confident that governance and confidentiality standards hold. The third is adoption, because benchmarking only earns its keep once it becomes part of how operators actually make decisions rather than a report they glance at once a year. Coworking has reached a stage where operational sophistication matters more than ever, and occupancy on its own is no longer a sufficient measure of health. Understanding performance relative to peers, markets, and broader trends is becoming part of running the business well, and WIN is one of the clearest examples of the industry trying to build that capability for itself. The data has always been there; the harder task, which WIN is taking on directly, is turning it into collective intelligence operators can act on.