Hot desking cost savings.

Hot desking reduces office space by having fewer desks than employees. With hybrid working, typically only 60-75% of employees in office any given day. Setting desk ratio at 70% (7 desks per 10 employees) matches the actual attendance pattern while keeping small buffer for busy days.

200 employees × 70% ratio = 140 desks needed vs 200 in traditional layout. 60 desks eliminated × 5,000/desk/year (mid-tier) = 300,000 annual saving. Same space can now support 285 employees at 70% ratio, giving 40% workforce capacity growth in current space. Major savings for growing companies.

Hot desking rarely implemented cleanly. Common issues: booking system complexity, desk hoarding (leaving personal items to 'claim' a spot), tech setup overhead (docking stations, monitors), political resistance (senior staff expecting fixed desks). Successful implementations pair physical change with policy change and leadership commitment.

Run it with sensible defaults

Using employees of 200, days in office per week of 3, desk ratio of 70%, cost per desk annual of 5,000, the calculation works out to 300,000.00. Nudge the inputs toward your own situation and the output recalculates instantly. The defaults are meant as a starting point, not a recommendation.

The levers in this calculation

The inputs — Employees, Days in Office per Week, Desk Ratio %, and Cost per Desk Annual — do not pull with equal force. Not every input has equal weight. Flip one at a time toward extreme values to feel which ones move the needle most for your situation.

How the math works

Desk reduction = employees - ceil(employees × desk ratio). Annual savings = reduction × cost per desk. The working is transparent — you can verify every step yourself in the formula section below. No black box, no opaque "proprietary model".

What to do with a low result

A disappointing result is information, not a judgement. Pick the single input that dragged the figure down most and focus the next quarter on that one factor. Breadth-first improvement rarely works; depth-first on the worst input usually does.

What this doesn't capture

The score is a composite of the inputs you provide. Life context — job security, family obligations, health, housing — doesn't appear in the math but shapes the real picture. Use the number as a prompt, not a verdict.