How can we design an intelligent matching concept that helps mobile professionals find not just available workspaces, but the right environment based on context, needs and professional relevance?

The way we work has fundamentally shifted. Startup founders, innovation teams, consultants and remote professionals increasingly move between cities and temporary working environments. When arriving in an unfamiliar place, finding a workspace often becomes a matter of trial and error.

Most existing tools focus on location, price and availability, but overlook deeper factors such as:

• professional context
• community relevance
• level of privacy vs. networking potential
• proximity to relevant ecosystem actors
• accessibility and urban infrastructure
• trust and quality signals

This challenge goes beyond desk-booking platforms. The team is encouraged to rethink how work environments are segmented, how “contextual fit” can be defined and measured, and how data can enable intelligent matching rather than simple filtering.

The project explores how workspace intelligence can become a new layer of decision support for mobile professionals. The goal is to transform structured workspace and ecosystem data into meaningful, user-centered intelligence.

The multidisciplinary team will develop a clear matching logic and demonstrate it through a clickable prototype or UX/UI concept. The outcome should combine user insight, data structuring and product thinking into a scalable and transferable solution.