Raymond James benchmarked conference room usage to understand the threshold for employee complaints (70% conference room usage) and developed a data-backed system for evaluating space requests.
Raymond James consolidated four smaller offices into four floors on Park Avenue, aiming to ensure effective space utilization while addressing perceived shortages within team neighborhoods. Additionally, the VP of Real Estate required data to facilitate conversations about space requests for additional conference rooms within a specific neighborhood. Historically, these discussions were often emotional and anecdotal rather than grounded in data. The team recognized the need for a more accurate understanding of occupancy levels.
Portfolio Evaluation: Data showed the actual space needs of each business unit or space group under desk- hoteling and non-desk hoteling scenarios. They added another floor to accommodate teams and combat space shortages.
Neighborhood Planning: To gain deeper insights, Bell and his team installed VergeSense occupancy sensors throughout the office, including meeting rooms, workstations, cafes, offices, and trading desks. They leveraged usage maps to understand how neighborhoods and shared spaces were being used over time. The team benchmarked conference room usage data and identified that employee complaints typically arose when usage reached the 70% threshold.
Intelligent Space Design: During a renovation project in St. Petersburg, Florida, Bell’s team sought to understand space usage on busy and quieter days to inform future design strategies. They installed sensors in all individual and shared spaces on the renovated floors to capture both passive and active occupancy data. This data informed their understanding of how employees were utilizing various areas.
Furthermore, after converting 30% of their conference rooms into Zoom rooms, the team monitored the active usage of both Zoom and regular meeting rooms in one of eight buildings for 90 days, employing VergeSense sensors to gather data on room utilization.
Through their analysis, the team discovered the actual space requirements for each business unit under various scenarios, such as desk hoteling and non-desk hoteling. They found that there was sufficient conference room space even at peak capacity, enabling the VP of Real Estate to decline requests for additional space. This decision not only avoided costly redesigns but also established a data-backed system for evaluating future space requests.
The Space Usage Timeline revealed that open collaboration areas and phone booths were underutilized. As a result, the team communicated changes to the IT department and educated them on how to leverage these new spaces while continuously monitoring usage patterns.
In terms of meeting room utilization, the findings indicated an average usage rate of just 15%, with peak utilization at 53% during mid-week. The data showed that 100% utilization occurred for only 1% of working hours. Based on these insights, the team decided to continue optimizing the 30% of meeting rooms while closely monitoring adjustments as needed.
Overall, by leveraging occupancy intelligence and data-driven insights, Bell’s team effectively addressed the challenges of space design and neighborhood planning, demonstrating that workplace optimization is a continuous journey that enhances both the functionality of the workspace and the overall employee experience.
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