Hot desking is a workspace model where desks aren’t assigned to any individuals. Instead, employees pick an available desk whenever they come into the office, use it for the day, and leave it free for someone else the next day. It’s also called desk sharing or free seating, and it’s become standard practice in hybrid workplaces where only a fraction of the workforce is in the office on any given day.

Why organizations adopt it

In a traditional office, every employee has a dedicated desk whether they use it or not. When teams shift to two or three days in the office per week, that means a large share of desks sit empty most of the time while the company keeps paying rent on all of them. Hot desking lets an organization support, say, 500 employees with just 300 desks, matching the space it maintains to the space it actually uses.

How it works in practice

Most hot desking setups run on a booking system. Employees reserve a desk in advance from an app or web portal, usually choosing from an interactive floor plan that shows which seats are free. Filters help them find what they need, whether that’s a standing desk, or a seat near their team. On arrival, they check in to confirm the booking, and unclaimed desks are automatically released back to the pool so nothing is wasted.

The alternative is a walk-in approach with no bookings at all, but this tends to break down beyond a small team. Without visibility into availability, employees arrive uncertain whether they’ll find a seat, which is the single fastest way to lose their trust in the model.

Common variations

• Hoteling: desks are booked in advance for a set period, sometimes days or weeks at a time.
• Neighbourhoods: teams are assigned a zone, and members hot desk freely within it. This preserves proximity for collaboration while keeping desks shared.
• Activity-based working: the office offers different settings for different tasks, and employees move between focus pods, collaboration tables, and quiet rooms throughout the day.

What makes it work

Hot desking succeeds or fails on three things: employees can reliably find a seat, teams that need to sit together can do so, and the office has enough desks for peak days rather than average ones. Utilization data matters here, because it tells you what your real peak looks like instead of guessing. Add secure storage for personal items and a clear desk policy so nobody inherits yesterday’s mess, and the model largely runs itself.