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How To Fix Oversimplified Metrics That Are Holding Back The Future Of Flex Space

Flex office data is too blunt for todayโ€™s fast-changing market; oversimplification risks overpaying and making bad calls.

Tom PetryshenbyTom Petryshen
May 1, 2025
in Coworking
Reading Time: 4 mins read
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How To Fix Oversimplified Metrics That Are Holding Back The Future Of Flex Space

Leases on managed offices are on the rise, which means there's a greater need for segmentation to truly understand how this new flex product impacts the buying decision.

  • Flex space data often oversimplifies pricing, leading to poor decision-making in a growing and complex market.
  • The rise of managed offices highlights the need for clearer segmentation between flex office types and pricing structures.
  • Real cost insights in flexible workspaces require data that reflects team size, office density, and regional market trends.

Thereโ€™s a wealth of data and information in commercial property โ€” it’s not hard to find figures, even through a quick search. Overall, this is a good thing; it’s better to have a picture to work from and a range of comparisons than starting with a blank sheet.ย 

However, Iโ€™m keen to sound a note of caution: the devil is in the details. We need to be smarter about how data is given to the industry and digested. And, in our maturing industry of flexible workspace, thereโ€™s a growing danger that decisions can be made on limited data.ย 

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The definition of flexย 

Itโ€™s key to first defineโ€ฏtheโ€ฏdifference between flex and traditional leased space within commercial real estate. Whereas traditional leased space involves longer tenancies, flex offers shorter lease terms, more shared facilities and more flexibility for businesses.ย 

Adding another layer, industry terminology, particularly across different countries, means that for some (particularly in certain territories), โ€œcoworkingโ€ is interchangeable with flexible space.ย 

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However for others, coworking is a different category entirely โ€” standing for a desk in a shared space rather than a flexible office. The data we track needs to reflect this nuance.ย 

An evolving marketย 

The flexible office market is relatively new, especially given that the U.K.โ€™s property market can be traced back to the Middle Ages. And itโ€™s evolving quickly, not least due to the acceleration of hybrid working, primarily brought on by Covid.ย 

The industry has fast grown to encompass so much more than a desk โ€” yet desks are what weโ€™re so often focusing on. Thereโ€™s a mismatch; the marketโ€™s not currently getting the full picture.ย 

The rise of managed officesย 

The emergence of a new category under the flex umbrella also means itโ€™s time for the industry to take a fresh look. Leases on managed offices (self-contained offices that arenโ€™t centred around communal areas) are on the rise, which means there’s a greater need for segmentation to truly understand how this new flex product impacts the buying decision (and current rates).ย 

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Our recent data shows a pretty clear price differential between serviced offices and managed offices, so today’s data needs to highlight this difference.ย 

For instance, a serviced office in central London is currently an average of ยฃ682 per desk versus a managed at ยฃ814. And in Mayfair, managed offices are coming in at ยฃ1,200 against ยฃ988 for serviced.ย ย ย 

Beware oversimplificationย 

Without data sophistication, current flex space metrics can be misleading or incomplete.ย ย 

There are two main reasons for this:ย 

1.Offering oversimplified metrics

Flex data typically refers to a cost per desk with the only breakdown offered between a hot desk and a dedicated desk. This barely scratches the surface.ย 

2.Presenting misleading averages

These simplified metrics rarely reflect what businesses actually pay. A company needing 30 desks may see much higher rates per desk than a company looking for 3 desks, for instance, as the larger business may need more amenities.โ€ฏย 

Why we need to be more nuanced in flex space dataย 

Thereโ€™s a more nuanced approach needed surrounding flex space data; thereโ€™s a need to break down costs in ways that align with the size and needs of the business. Hereโ€™s my starter for what we need to work on first:ย 

1.Consider office density

Flex office space is sold by the desk instead of squareโ€ฏmetre in traditional commercial leasing. When much of the floor is given over to shared facilities, this approach makes sense, but customers should be mindful of office density, which is in itself anotherโ€ฏgood qualityโ€ฏmetric.โ€ฏย 

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2.Team size pricing tiers

Rather than simple desk rates, we need to analyse costs by office capacity ranges (1-4 desks, 5-10 desks, 16-25 desks, 50+ desks), revealing pricing patterns invisible in standard metrics.ย 

3.Market-specific insights

Our data reveals counterintuitive market differences. In London, larger offices (50+ desks) typically cost more per desk than smaller configurations, while in Sydney, Australia, smaller offices (1-4 desks) can be up to 40% more expensive per desk than larger spaces due to different demand patterns.ย 

4.True cost visibility

By segmenting data according to team sizes and location, we can provide transparency into the actual costs businesses will face based on their specific requirements.ย 

Our industry is changing, and our data needs to change to reflect this. By appreciating the importance of context, stakeholders can better handle the complexities of the commercial property market and make strategic, data-driven choices that fit their goals.ย 

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Tom Petryshen

Tom Petryshen

As Head of Growth & Analytics at Rubberdesk, Tom Petryshen leads on scalable growth initiatives whilst analyzing market trends. Prior to Rubberdesk, Tom managed global campaigns for the NBA and Dell as VP of Strategy and Analytics at Adacado. A former Olympic wrestler, Tom continues his involvement in sports as President of Obstacle Sports Canada and board member of Pentathlon Canada.

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