Minds Study: Coworking vs. Long-Term Leases for Scaleups
Minds simulation shows how German tech scaleups (50-250 employees) in 2026 weigh long-term lease commitments against flexible coworking models.
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A clear majority of scaleup decision-makers view the risk of employee turnover and unpredictable growth as a critical factor against long-term leases.
- 15+ stats with cross-tabs by age, country, income
- 5 downloadable charts
- Raw response data (CSV)
- Ask your own questions in this Study
Methodology
An audience analysis of 500 German tech scaleups simulated by Minds shows that 74 percent of fast-growing technology companies prefer flexible coworking models over traditional long-term leases. Validated in alignment with data from the Statistisches Bundesamt, these results highlight that unpredictable headcount fluctuations and rigid lease liabilities are heavily driving the demand for flexible office space in major German cities.
Preference for flexible terms
Concern over long-term lease liabilities
Willingness to pay a premium for flex models
Based on a simulated Audience of 500 respondent. Benchmark agreement varies by audience, question, grounding, and reference study.
Audience composition
- 150-100 employees42%
- 2101-180 employees38%
- 3181-250 employees20%
- 1Berlin35%
- 2München25%
- 3Frankfurt15%
- 4Hamburg15%
- 5Other German tech hubs10%
The Dynamics of the German Office Market: Flexibility as a Strategic Necessity
The German commercial real estate market is undergoing a fundamental transformation in 2026. While established corporations are consolidating their space, fast-growing technology companies with 50 to 250 employees face a completely different challenge. In leading German tech hubs like Berlin, München, Frankfurt, and Hamburg, the competition for top-tier talent remains fierce. At the same time, the macroeconomic environment is forcing founders and CFOs to maintain strict cost control and minimize risk.
According to current market data from industry analysts such as Savills and the Workthere Flexmark Report, an increasingly large share of take-up is attributable to flexible office solutions. In cities like Berlin, flex office leases by larger companies and scaleups now account for more than half of the local market. This development is further accelerated by changing regulatory frameworks and new standards for hybrid work. For providers of flexible office space, this represents a historic opportunity: they must understand how decision-makers in these growth companies weigh the risk of long-term lease liabilities against the higher, but flexible, costs of premium coworking memberships.
The Minds simulation analyzed the attitudes and decision-making patterns of 500 CFOs, COOs, and founders in German tech hubs. The result is clear: the demand for flexibility is not a temporary trend, but a deeply rooted strategic necessity. Companies simply can no longer afford to tie up capital in rigid, long-term leases that allow for no adjustment to actual headcount development.
Risk Analysis: Why Long-Term Leases Become a Growth Barrier for Scaleups
For a typical scaleup with a workforce of 100 employees, predicting space requirements for the next five or even ten years is a mathematical impossibility. A successful funding round can double headcount within twelve months, while market consolidation or efficiency gains can lead to downsizing. In this scenario, a traditional commercial lease with a fixed five-year term acts as a brake on growth.
The Minds simulation shows that 68 percent of surveyed decision-makers rank long-term lease liabilities as one of the greatest financial risks to their business. If an office becomes too small, companies risk productivity losses and teams being split across different locations. If, on the other hand, the office is too large, the company pays for unused vacancy, unnecessarily driving up the burn rate.
Our headcount fluctuates heavily. In the current economic climate, a traditional 5-year lease in Berlin's CBD feels like a millstone around our neck.
This quote highlights the dilemma of modern financial decision-makers. The rigidity of the traditional real estate market no longer fits the agility of the digital economy. Scaleups need office space that can breathe and scale like cloud infrastructure. This is exactly where flexible coworking providers come in, offering short-term contracts and flexible adjustment options. The simulation shows that for the majority of respondents, this flexibility is the most important decision criterion.
The Role of Premium Amenities and Infrastructure in the Competition for Talent
Another critical factor revealed by the Minds simulation is the quality of the work environment. In the battle for the best software developers, product managers, and data scientists in Germany, a basic workstation is no longer enough. Physical presence in the office must offer real value to employees to boost employer attractiveness.
Companies are therefore specifically looking for premium coworking spaces that offer top-tier amenities. This includes not only prestigious reception areas and modern meeting rooms, but also high-quality coffee bars, fitness areas, rooftop terraces, and excellent IT infrastructure. Employee expectations of the office have fundamentally changed: it should be a place for connection, collaboration, and well-being.
We need premium infrastructure to attract talent, but we cannot afford unused space. Coworking offers us the scalability that traditional landlords refuse to provide.
For scaleups, building out such an infrastructure on their own involves massive capital expenditure. Converting a raw office building into a modern, prestigious workspace consumes significant financial resources that are diverted from core operations and product growth. Premium coworking providers absorb these capital investments and distribute them across membership fees. For the scaleup, unpredictable capital expenditures are transformed into predictable, monthly operating expenses.
Financial Trade-Off: Premium Surcharge vs. Unused Vacancy Costs
At first glance, the monthly cost per workstation in a premium coworking space seems significantly higher than the base rent per square meter of a traditional lease. However, a holistic view of the total cost of ownership quickly puts this into perspective.
With a traditional lease, companies must factor in not only the base rent but also operating costs, cleaning, internet, electricity, furniture, IT infrastructure, reception staff, and facility management. On top of that is the financial risk of unused space. If a company with 100 employees leases space for 150 employees to accommodate future growth, it pays for 50 empty desks from day one.
The Minds simulation shows that 59 percent of scaleup decision-makers are willing to pay a significant premium per workstation if, in return, they gain the flexibility to adjust their capacity on a monthly basis. They view avoiding vacancy costs and the off-balance-sheet nature of flexible contracts as far more valuable than the perceived savings of a long-term lease.
The operating costs and administrative overhead of traditional commercial leases tie up valuable resources. We would rather pay a premium for all-inclusive flexibility.
This financial flexibility is also reflected in accounting standards. While long-term leases must be recognized as lease liabilities on the balance sheet under IFRS 16, thereby optically increasing the debt-to-equity ratio, flexible coworking memberships can typically be expensed directly as operating expenses. This is particularly important for scaleups preparing for a subsequent funding round or an IPO that want to present as lean a balance sheet as possible.
Validation and Methodology: The Minds Infrastructure in Detail
The insights presented in this case study were generated using the Minds platform, a state-of-the-art infrastructure for audience simulations. Minds is not a simple chatbot, but a professional simulation platform based on a three-tier model:
- Data Grounding (Level 01): Every simulation is based on real data sources. This includes anonymized CRM data, internal surveys, and traditional market studies. No persona or target audience is created based on mere assumptions.
- Simulation Model (Level 02): The model leverages deep consumer insights, demographic anchors, and robust behavioral models to precisely map the decision-making processes of the target audience.
- Validation (Level 03): Simulation results are continuously validated against real-world responses, panel data, and established reference benchmarks such as the Statistisches Bundesamt, Eurostat, and Kantar. In doing so, Minds draws on validated demographic and psychographic models to ensure the highest possible representativeness.
Minds achieves an average alignment of 85 percent to 95 percent with traditional physical panels regarding preferences, linguistic nuances, and objection mapping. For specific questions and well-established B2B segments, this alignment can even reach up to 100 percent. The decisive advantage lies in speed and efficiency: while traditional market research sprints take several weeks and incur significant recruitment costs per participant, Minds delivers deep, data-driven insights in under an hour and at a fraction of the cost of a traditional panel.
The platform is fully hosted on EU servers and operates in 100 percent compliance with GDPR, as no personal data of real participants is processed. It is important to emphasize that Minds is not designed for clinical or regulatory studies, representative price elasticity analyses, or political polling. However, for the strategic alignment of marketing, insights, and innovation teams in the B2B and B2C sectors, Minds offers an unparalleled decision-making aid to validate concepts and positioning before committing actual budget.
For providers of flexible office space, this simulation delivers the perfect messaging foundation for B2B sales. It shows exactly which pain points and objections need to be addressed for scaleup decision-makers at the BOFU (Bottom of Funnel) stage to convince them of the benefits of a flexible premium solution.
Want to find out how your target audience reacts to new pricing models, campaign claims, or flexible contract structures? Book a detailed methodology call with our experts now or start a paid pilot to compare the Minds platform directly with your existing market research data.
Frequently asked questions
How accurately does Minds simulate the preferences of German scaleup decision-makers?
Minds achieves an average alignment of 85% to 95% with physical panels regarding preferences, linguistic nuances, and objection mapping. For highly specific questions and well-established B2B segments, this alignment can even reach up to 100%.
How quickly does Minds deliver results for the commercial real estate market?
Instead of expensive market research sprints lasting several weeks, the Minds platform delivers deep, data-driven audience simulations in under an hour. All data is hosted on EU servers in compliance with GDPR.
How does Minds compare in cost to traditional B2B panels?
Minds offers deep qualitative and quantitative insights at a fraction of the cost of a traditional panel, completely eliminating high recruitment costs per participant.
How does this simulation help flexible office space providers in B2B sales?
With this simulation, flexible office space (flex office) providers can understand the exact objections and drivers of scaleup decision-makers at the BOFU stage, allowing them to tailor their messaging specifically to lease liabilities and scalability risks.
About Minds
Minds is an AI research lab building synthetic focus groups and studies. It helps go-to-market and product teams understand their target audiences in minutes, not months.


