Workforce Personas
The Workforce Personas feature is designed to group users with similar application usage patterns into meaningful work personas. It helps users understand how work is performed across the organization by identifying common application combinations, user populations, activity patterns, and characteristics such as confidence, risk, manual work, and recurrence.
Once Workforce Personas are generated, users can analyze the identified personas, review the applications associated with each persona, and understand the usage patterns that contribute to the persona.
How Does Workforce Personas Work
Workforce Personas analyzes application usage patterns across users and identifies groups of users who demonstrate similar patterns of application usage.
The system evaluates the applications used by users and the relationship between those applications to identify common work patterns.
Based on these patterns, the system generates a business-oriented persona name representing the type of work associated with the group.
For each persona, the system provides additional metrics that help users understand the strength and characteristics of the identified pattern.

Persona: Name of the identified work persona.
Users: Total number of users associated with the persona.
Activity Time: Average activity time associated with the persona.
Active Days: Number of active days associated with the observed pattern.
Confidence: Confidence level of the identified persona.
Risk: Risk level associated with the persona.
Manual Work: Level of manual activity associated with the persona.
Recurrence: Level of recurrence observed for the work pattern.
Persona Analytics
Users can select a persona from the Workforce Personas table to open its detailed analytics.
The persona analytics page provides additional information about the selected work pattern.

Following information is available:
Confidence
The Confidence score indicates how strongly the observed application usage supports the identified persona.
The score is displayed on a scale from 0 to 100.
Confidence is represented using the following levels:
| Level | Description |
|---|---|
| High | Strong evidence supports the identified work pattern. |
| Medium | The available evidence provides a moderate indication of the work pattern. |
| Low | The available evidence provides limited support for the identified work pattern. |
Risk
The Risk score indicates the potential risk associated with the applications and data usage observed for the persona.
The risk is represented using:
Low
Medium
High
Risk may be influenced by observed sensitive-data activity and the types of applications used by the persona.
Users
The Users metric displays the total number of users associated with the selected persona.
For example:
Users: 937
This indicates that 937 users are associated with the identified application-usage pattern.
Ø Activity Time
The Ø Activity Time displays the average activity time associated with the selected persona.
The value can be displayed in minutes or hours depending on the calculated activity duration.
Active Days
The Active Days metric displays the number of days on which activity associated with the persona was observed.
For example:
Active Days: 90
indicates that activity was observed across 90 days within the available data range.
Manual Work
The Manual Work score provides an indication of the level of manual activity associated with the identified work pattern.
The score helps users identify personas where work involves significant manual interaction between applications.
A higher Manual Work score can indicate a work pattern that may be suitable for further process investigation.
Manual Work should be evaluated together with:
Application usage
Activity time
Recurrence
Confidence
Note: A high Manual Work score does not automatically indicate that a process can or should be automated.
Recurrence
The Recurrence score indicates how consistently the identified application-usage pattern occurs.
A high recurrence indicates that the same or similar application pattern is observed repeatedly.
This can help users distinguish recurring work patterns from occasional application usage.
Recurring patterns can be further investigated for:
- Process optimization
- Workflow improvements
- Standardization
- Automation opportunities
- Applications Used By Persona
The Apps Used By Persona section displays the applications contributing to the selected persona.
The table provides detailed information about each application.
The table contains the following columns:
| Column | Description |
|---|---|
| App | Name of the application. |
| URL | URL or domain associated with the application. |
| Cluster Usage | Percentage contribution of the application to the identified usage cluster. |
| Explanation | Description of the application and its role within the work pattern. |
| Ø Activity Time | Average activity time associated with the application. |
Cluster Usage
Cluster Usage
Cluster Usage represents the contribution of an application to the application-usage cluster associated with the persona.
For example:
| Application | Cluster Usage |
|---|---|
| Google Docs | 20.45% |
| Google Gemini | 20.40% |
| Microsoft Word Online | 20.34% |
| SAP CEP Cloud | 18.24% |
The values help users understand which applications contribute most strongly to the identified usage pattern.
The persona should be interpreted using the combination of applications, rather than using a single application as the basis for determining the persona.
Application Explanation
The Explanation field provides a business-oriented description of the application.
It helps users understand the role an application plays within the identified persona.
For example, an application used for:
- Customer relationship management
- Contact research
- Scheduling
- Project management
may collectively provide evidence for a sales-oriented work pattern.
Persona Name
The Persona name provides a business-friendly representation of the identified application-usage pattern.
Examples include:
- Business Analyst
- Marketing Specialist
- Operations Manager
- Project Coordinator
- Customer Support Specialist
- Learning and Development Specialist
- Financial Controller
The persona name is derived from the observed usage pattern and should be interpreted together with the applications and analytics shown for the persona.
Note: The persona name does not necessarily represent the user's official organizational job title.
Understanding Workforce Persona Data
Workforce Personas allows users to analyze a work pattern using multiple indicators.
For example, a persona with:
- High Confidence
- High Recurrence
- High Manual Work
- Large number of Users
may represent a well-established work pattern that could be investigated further for process improvement.
Users should review the applications associated with the persona before drawing conclusions about the type of work being performed.
Updated about 16 hours ago