Return-to-Office: What the Occupancy Data Actually Shows

A high-angle photorealistic photograph of a modern corporate office showing a contrast in space utilization. In the foreground, a diverse group of nine professionals in business casual attire sit together on gray sofas around a low coffee table, actively collaborating with laptops, tablets, and coffee cups. In the background, rows of traditional office desks with monitors and rolling chairs sit completely empty and unused. Warm, natural lighting streams through large windows, casting a soft glow over the scene.

Return-to-office mandates have dominated corporate headlines since 2024. Companies from Amazon to JPMC have issued increasingly firm directives to bring workers back. But mandate and compliance are different things — and occupancy sensor data tells a more nuanced story than badge swipe counts.

The Gap Between Mandate and Reality

Organizations that have deployed occupancy sensors alongside RTO mandates consistently find a 15-25% gap between mandated attendance and actual desk utilization. Employees badge in, but they spend time in common areas, meeting rooms, and social spaces rather than at workstations. This is not noncompliance — it reflects how modern work actually happens.

Badge data shows building entry. Occupancy data shows how the space is actually used. The gap between these two data sets is where the real optimization opportunities hide.

What 2025-2026 Occupancy Data Reveals

Across enterprise deployments, several patterns have emerged that should inform every organization’s RTO strategy.

Tuesday through Thursday remain the peak days, with Wednesday typically the single busiest day. Monday and Friday attendance runs 30-50% lower than midweek peaks. This is not changing despite mandates — it reflects employee preference that has proven remarkably sticky.

Meeting rooms are the bottleneck, not desks. On peak days, meeting rooms hit 80-90% booking rates while desk utilization remains at 50-65%. The problem is not that people need more desks — they need more places to meet and collaborate. Afternoon utilization drops sharply. Most offices see peak utilization between 10am and 2pm, with significant drops after 3pm. This has implications for energy, cleaning, and space planning.

Small spaces are underserved. The demand for 2-4 person meeting spaces and phone booths consistently exceeds supply, while large conference rooms (10+ seats) are underutilized or hosting meetings with 2-3 attendees. This behavior is triggered by the comfort of the home desk and the expected quiet time, as well as the growth in on-line meetings while at the desk.

From Data to Strategy

This data points to several strategic shifts that forward-thinking organizations are implementing.

  • Redesign the room mix. Converting large conference rooms into multiple smaller collaboration spaces. The data consistently shows demand has shifted from big meetings to small team huddles.
  • Embrace day-of-week variation. Instead of fighting the Tuesday-Thursday pattern, design for it. Variable cleaning schedules, flexible catering orders, and day-specific programming can reduce costs while improving the experience on busy days.
  • Initiate “sub policies”. Such as single occupants’ slots or capacity mismatch which might be due to abuse or simply lack of attention to the meeting participants’ location (on-site or on-line).
  • Measure outcomes, not attendance. Track collaboration density, meeting room utilization, and space utilization and satisfaction rather than badge counts. Organizations focused on experience metrics see better voluntary attendance than those focused on compliance metrics.

The Sensor Advantage in RTO

Occupancy sensors provide the objective, continuous data that turns RTO from a mandate into a strategy. Over desks, in meeting rooms and in collab spaces, instead of arguing about whether the office is full enough, you can show exactly how the space is used and make evidence-based decisions about space design, facility operational management, and employee experience.

PointGrab’s edge AI sensors capture this data at any space — desk, room, and zone level. It gives workplace leaders the granular picture they need to optimize for how people actually work, not how they are supposed to work.

 

Know what your RTO data really says. PointGrab sensors can show you actual workplace utilization, before and after the RTO mandate, not just badge swipes. Get the full picture.

Frequently Asked Questions

What is RTO?

RTO (Return to Office) refers to strategies and timelines for bringing employees back to physical offices after remote or hybrid work.

How does occupancy data inform RTO planning?

Real occupancy data shows current usage patterns, helping organizations achieve RTO targets and identify barriers to in-office work.

What metrics matter for RTO success?

Key metrics include average occupancy rate, peak occupancy times, claimed desks, departmental/neighborhood level attendance, and space utilization by space type.

How can occupancy data reduce RTO friction?

By showing actual vs. planned attendance, organizations can adjust office layouts, policies, and support to match real behaviors.

What do occupancy patterns reveal about RTO readiness?

While RTO policies are now common, usage patterns show which teams are already returning, supply/demand realities in terms of spaces, and facilities management that can be optimized to support the new occupancy.

How does occupancy data help justify RTO investments?

Data demonstrating utilization and ROI helps justify investments in office amenities, upgrades, and support programs needed for successful RTO.