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Workplace Allocation·

workplace allocate desks: convert forecast demand into fair, high-utilisation seating

Allocate desks dynamically using forecast demand, constraints, and team adjacency goals to reduce real-estate waste and improve day-to-day reliability.

the desk allocation problem in 2026

occupancy is concentrated midweek and inconsistent across teams.

kastle shows a strong tuesday-friday gap, while wfh research confirms hybrid behavior remains materially above pre-2019 levels. static seat maps and first-come-first-served booking do not manage that pattern well.

workplace.allocator.evolve (desk allocation mode) translates forecast outputs into constrained, explainable desk assignments.

what workplace allocate desks does

  • assigns desks by demand forecast, not guesswork
  • enforces policy constraints (team neighborhoods, accessibility, role priority)
  • optimizes for utilisation and co-attendance quality
  • automatically reserves desks from observed attendance patterns, so employees no longer need to manually book seats
  • tracks dcap and mcap metrics so allocations stay valid when capacity changes
  • publishes rationale and overrides for auditability

roi model example (capacity avoidance)

portfolio assumptions:

  • 2,000 hybrid employees
  • baseline plan would provision 1,400 desks for safety
  • forecast + allocation model shows p95 need at 1,130 desks with policy-safe buffers

capacity avoided:

  • 270 desks

at an assumed 8,500 dollars yearly cost per desk (rent, services, utilities, support):

  • modeled annual value: ~2.30m dollars

this can defer expansion and reduce capex tied to furniture and fit-out.

roi model example (time saved by planners and employees)

planning + workforce assumptions:

  • 6 major stack-plan cycles per year across a multi-site portfolio
  • baseline manual planning effort: ~540 hours per cycle (scenario building, constraints reconciliation, stakeholder revisions)
  • with gospace allocation engine: scenario solve in seconds, with ~36 hours per cycle for review and approvals
  • 2,000 employees, 2.5 in-office days per week, 2 minutes average manual desk-booking effort per in-office day

time impact:

  • building planner time saved: ~(540 - 36) x 6 = 3,024 hours yearly
  • employee time no longer spent booking desks: ~7,667 hours yearly
  • total time saved: ~10,691 hours yearly

illustrative labor-value impact:

  • planners at 80 dollars/hour: ~242k dollars yearly
  • employees at 55 dollars/hour: ~422k dollars yearly
  • modeled productivity value: ~664k dollars yearly

this is where the operational shift is most visible: building planners solve stack plans in seconds, not months, and employees receive desk reservations automatically based on real demand patterns.

where this module wins

  • HQs with strong midweek surges
  • organizations implementing neighborhood-based seating policies
  • portfolios balancing employee experience and footprint efficiency

ai race angle

microsoft reports 82% of leaders expect digital labor capacity to expand soon. desk allocation is a practical domain for agentic operations because constraints are explicit, measurable, and auditable.

gospace acts on what people actually do in attendance and usage data, not what they say they might do in static booking plans.

key kpis to track

  • desk utilisation by day and location
  • unserved desk demand events
  • team adjacency compliance
  • dcap-normalized utilisation trends
  • avoided seat capacity spend

sources

Real-World Benchmarks (2025-2026)

  • Peak-day demand concentration keeps desk allocation volatile even when weekly averages look stable.
  • JLL fit-out costs benchmark desk-capacity mistakes as high-cost capex decisions.
  • BLS compensation baseline used: $45.65/hour.

Monetized ROI Assessment (USD, 2026)

Conservative desk-program case:

  • Capex avoided: 150 desks x 10 sqm/desk x $1,950/sqm = $2,925,000.
  • Planning time recovered: 6 planners x 10 hours/week x 48 weeks = 2,880 hours x $45.65 = $131,472.
  • Escalation handling reduction: $180,000/year.
  • Total modeled first-year value: $3,236,472.

Executive story: avoid overbuilding, eliminate desk churn, and keep teams productive on peak days.

Benchmark Sources

workplace forecast people: individual demand forecasting for better space decisions

Forecast attendance at person level to improve desk and room allocation quality, reduce friction, and preserve flexibility in hybrid operations.

workplace allocate private offices: assign scarce enclosed space where it creates the most value

Use forecast-guided allocation to assign private offices by need, confidentiality, and policy while keeping utilisation and fairness transparent.