Worklytics is a people analytics platform that collects, anonymizes, and aggregates work data from over 25 productivity tools to generate meaningful metrics and insights. It offers over 200 custom metrics related to employee experience, collaboration, productivity, and organizational health. The platform streams clean, privacy-protected data to dashboards or data warehouses, enabling organizations to make data-driven decisions about remote work, burnout, manager effectiveness, and more.

Key Features

Data Integration and Anonymization Worklytics connects to numerous workplace tools (e.g., Office 365, G Suite, Slack) to ingest transaction data, which it then anonymizes and cleans.

• Connectors for 25+ productivity and collaboration tools
• Anonymization proxy to protect employee privacy
• No analysis of actual work content, only metadata and logs

Extensive Metrics and Data Dictionary Generates over 200 custom metrics covering employee lifecycle, collaboration, productivity, and management effectiveness.

• Metrics on manager interactions, team changes, and leadership access
• Employee lifecycle metrics like tenure, onboarding, promotions
• Collaboration metrics such as peer networks and social influence

Real-Time Insights and Dashboards Delivers live dashboards and benchmarking to provide actionable insights into work patterns and organizational health.

• Real-time reporting on meetings, emails, online interactions
• Benchmarking against industry or internal standards
• Visual navigator to explore metrics

Data Pipeline and API (DataStream) Streams anonymized data to customer data warehouses or visualization tools for custom analysis and predictive modeling.

• Raw event streams and network graph data
• Behavioral metrics like time in meetings, workday length
• Predictive models linking behavior to business outcomes

Privacy and Compliance Ensures compliance with GDPR and CCPA, focusing on employee privacy by aggregating data and avoiding personal identification.

• Fully anonymous data processing
• No personal or content-level data stored
• Data processor role with privacy controls

Benefits

Improved Employee Experience Enables organizations to understand and enhance work-life quality using anonymous data.

• Identifies burnout and wellbeing trends
• Supports diversity, equity, and inclusion initiatives
• Enhances manager effectiveness and employee engagement

Time and Resource Savings Automates complex data engineering tasks, saving thousands of hours in data preparation and cleansing.

• Pre-built connectors reduce integration effort
• Clean, reliable data reduces manual validation
• Fast access to actionable metrics

Data-Driven Decision Making Provides comprehensive analytics to support strategic workforce and operational decisions.

• Real-time visibility into collaboration and productivity
• Supports remote and hybrid work optimization
• Enables predictive analytics for workforce planning