Worklytics provides real-time workforce analytics that utilize data pipelines to deliver over 200 actionable metrics on productivity and collaboration while ensuring employee privacy through anonymization techniques. The platform enables organizations to gain visibility into work processes, helping to identify inefficiencies and improve employee experiences without compromising sensitive information.
Funding
$120K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many organizations lack clear visibility into how their teams collaborate and allocate time, making it difficult to identify inefficiencies, optimize workflows, and prevent employee burnout. Traditional methods of measuring productivity often rely on intrusive monitoring techniques that can compromise employee privacy and erode trust.
Solution
Worklytics provides a workforce analytics platform that uses metadata from existing collaboration tools to deliver actionable insights into team productivity and work patterns, without analyzing the content of employee work. The platform aggregates and anonymizes data from sources like email, calendar, and communication platforms to generate over 200 metrics related to collaboration, communication, and time allocation. These metrics are presented in real-time dashboards, enabling managers and leaders to identify bottlenecks, understand how work is getting done, benchmark team performance, and promote a better employee experience. Worklytics prioritizes employee privacy by using a Pseudonymization Proxy and aggregating metrics at the group level, ensuring compliance with GDPR and CCPA regulations.
Target Audience
Worklytics targets enterprise companies seeking to improve team productivity, optimize workflows, and enhance employee experience while maintaining a strong commitment to data privacy.
Features
- Real-time dashboards providing visibility into collaboration patterns and productivity metrics
- Over 200 actionable metrics designed to model work and collaboration across various industries and functions
- Data pipelines that save data engineering time by cleaning and preparing data from multiple sources
- Anonymization techniques using a Pseudonymization Proxy to protect employee privacy
- Aggregated metrics at the group level to prevent identification of individual employees
- Compliance with GDPR and CCPA regulations
- Benchmarking capabilities to compare team performance against industry standards