Case Study: Optimizing Workplace Effectiveness with Dwell Time Analytics

Challenge:

‍Beyond basic utilization

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Many organizations traditionally view occupancy intelligence through the narrow lens of space utilization, primarily focusing on understanding how many people utilize a space on average. While essential for basic space management, this approach often overlooks a critical dimension: workplace effectiveness. Understanding how employees interact with and experience their workspaces is paramount to fostering engagement, productivity, and overall satisfaction.

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Our customer, a forward-thinking corporate real estate leader in a Global 2000 technology company, recognized this gap. They sought to move beyond simply knowing "how many people are where" to understanding "how well their spaces truly serve their purpose."

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Solution:

‍Uncovering Insights with Dwell Time

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To address this, our client partnered with Occuspace to leverage AI enabled occupancy analytics, specifically focusing on the often-overlooked metric of dwell time. Dwell time measures the duration individuals spend in a particular space, offering a powerful proxy for:

• Engagement Levels: How long are employees actively using a space?
• Activity Patterns: Does the space facilitate its intended use?


• Team Productivity: Are teams able to focus and collaborate effectively in their assigned areas?

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By analyzing dwell time in conjunction with other metrics, our client aimed to gain a more holistic understanding of their workplace dynamics.

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The Problem Identified:

‍A Noisy Neighbor

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Occuspace's platform revealed a significant anomaly: Engineering Team A consistently exhibited 35% lower dwell time compared to other engineering teams within the same office building and across the broader portfolio. This stark difference immediately signaled a potential issue with the team's assigned workspace.

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Occupancy data shows that engineering Team A consistently exhibited 35% lower dwell time compared to other engineering teams within the same office building.

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Further investigation, guided by dwell time data, quickly pinpointed the root cause: Engineering Team A was uniquely situated adjacent to a highly active and, consequently, noisy marketing team.

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The low dwell time for the engineering team was a strong indicator that the excessive noise was creating a distracting and unproductive environment, directly impacting their ability to utilize their space effectively for focused work.

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The Intervention:

‍Creating a Conducive Environment

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Armed with this clear, data-driven insight, the workplace leader confidently initiated targeted interventions:
• Sound-Blocking Partition Walls: To mitigate noise bleed from the marketing area, sound-blocking partition walls were installed.
• Dedicated Focus Spaces: Within Engineering Team A's neighborhood, dedicated focus spaces were added, providing quiet zones for concentrated work.
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These changes were designed to directly address the identified distraction, allowing the engineering team to better utilize their workspace for its intended purpose.

The Impact:

‍A 40% Increase in Workplace Effectiveness
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The results of these strategic interventions were dramatic and immediate:
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Dwell time for Engineering Team A nearly doubled, indicating a significant improvement in their ability to use their workspace effectively.
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Employee sentiment scores for the team increased by 40%, reflecting a substantial boost in their satisfaction and perceived productivity.
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This case study powerfully demonstrates how moving beyond basic space utilization to incorporating metrics like dwell time can uncover hidden challenges and unlock significant improvements in workplace effectiveness.

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By leveraging data to understand the nuances of how employees interact with their environment, organizations can create spaces that truly support their workforce, leading to enhanced engagement and productivity.

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With data guiding strategic interventions, employee sentiment scores for the team increased by 40%.

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