Data Glossary

This glossary explains the key data terms used throughout the Trebellar platform. These definitions are intended for business users and describe how Trebellar understands your organization, people, and spaces.

As Trebellar AI continues to learn about your organization’s data and use cases, you can use your own lexicon when prompting our agents. For example, our database uses “People Group” to define what most people call department, team, or business unit. While you can use your own unique lexicon, you can always reference this glossary to provide greater specificity when prompting Trebellar AI.

A Structure represents a physical building or office location that Trebellar tracks.

Examples:

Structures are the foundation of the Trebellar platform. All attendance, utilization, and portfolio analytics roll up to one or more structures.

Common attributes

A Floor represents a level within a building.

Floors help organize spaces and enable more detailed analysis within a structure. If no floors are provided, information will be aggregated at the building level.

Examples:

A Space represents an individual area within a floor.

Spaces are typically shared or functional areas rather than assigned desks.

Examples:

Spaces can be marked as bookable or non-bookable and may have an assigned capacity. Additionally, you can associate any number of metadata fields to a Space. For example, a meeting room might have attributes pertaining to AV kit (e.g., Zoom vs. Cisco conferencing), whiteboard (“yes/no”), natural light (“yes/no/partial”), and other dimensions. Your Trebellar Account Manager can assist you when configuring and updating your Trebellar instance.

A Workstation represents an individual desk or seat where a person sits.

Workstations are often associated with:

Workstation data enables more granular planning and utilization analysis but is optional depending on your use case.

A Neighborhood represents a defined grouping of workstations within a space, typically used to organize seating by team, function, or work style.

Neighborhoods are commonly used to:

A Neighborhood is typically associated with:

Neighborhoods provide an intermediate level of structure between individual workstations and broader spaces, supporting planning, allocation, and utilization analysis without requiring seat-level assignment.

A People Group is Trebellar’s generic term for a group of people within your organization.

In practice, this usually maps to:

Examples:

You may see the term People Group in the platform even if your organization typically uses “department” or “team.”

A Person represents an individual worker in your organization.

Each person is identified using a unique, anonymized ID (not a name or email) and may be associated with:

Trebellar does not require personally identifiable information (PII), though having a unique identifier for employees greatly enhances the analytical power of the Trebellar platform. (These IDs may be hashed or otherwise encrypted for added security. Please see this article for more details.)

A Badge Event represents a person entering a building (or space) on a given day.

Badge data is the primary signal Trebellar uses to understand attendance patterns.

Badge data can be:

Multiple badge events by the same person on the same day are automatically de-duplicated.

Attendance reflects how many people are physically present at a location over time.

Attendance is typically measured:

Attendance is distinct from utilization, which considers space capacity.

Capacity represents how many people a space, floor, or building is designed to support.

Examples:

Capacity is used as the denominator in basic utilization calculations.

Utilization measures how much of a space or building’s capacity is actually being used.

In simple terms:

Utilization = People present ÷ Available capacity

Utilization helps identify underused or overcrowded spaces and supports scenario planning and cost optimization.

An External ID is an alternate identifier used to match Trebellar data with data from other systems (e.g., badge systems, HR systems, booking tools).

External IDs allow you to:

Lease Data provides financial context for locations.

It may include:

Lease data enables cost-based analysis and more informed AI recommendations.

Data on operating expenses (OPEX) enables Trebellar users to analyze spending trends, identify cost over runs or opportunities to reduce costs, and connect spend to other data sources, such as sentiment or attendance.

OPEX data includes:

Room Booking Data represents scheduled meetings or reservations for bookable spaces.

This data is commonly used to:

Sensor Data includes real-time or historical measurements from physical sensors.

Examples:

Sensor data enhances utilization accuracy and enables deeper operational insights.

Sentiment Data captures general employee feedback and/or feedback about workplaces.

This is often provided as:

Sentiment data helps connect how people feel about spaces with how those spaces are actually used.

At a high level:

Together, this unified data model allows Trebellar to deliver accurate analytics, trusted AI insights, and actionable recommendations.