Organizational Network Analysis (ONA) has evolved from academic curiosity to enterprise necessity. As companies navigate hybrid work, AI adoption, and complex collaboration patterns, the ability to visualize and optimize organizational networks becomes critical for competitive advantage. (Worklytics)
The ONA software market in 2025 presents three distinct approaches: Worklytics focuses on privacy-first real-time insights with extensive integrations, Polinode emphasizes network visualization and survey-based analysis, while Time Is Ltd targets time-tracking and productivity optimization. Each platform serves different organizational needs, from compliance-heavy enterprises to research-focused teams. (Worklytics)
This comprehensive comparison evaluates 30 critical criteria across privacy models, integration capabilities, AI features, pricing structures, and customer success frameworks. We'll examine how each platform handles enterprise requirements at 1,000 and 5,000 seat deployments, supported by vendor documentation and real-world implementation data. (Worklytics)
| Platform | Best for | Standout 2025 feature | Starting price (1K seats) | Enterprise focus |
|---|---|---|---|---|
| Worklytics | Privacy-compliant enterprise ONA | Real-time AI adoption dashboards with field-level redaction | Custom pricing | Data anonymization, 25+ integrations |
| Polinode | Network visualization & research | Advanced graph analytics with SIOP integration | Custom pricing | Survey-based network mapping |
| Time Is Ltd | Time tracking & productivity | Automated time categorization | Custom pricing | Individual productivity focus |
Worklytics leads the privacy conversation with data anonymization and aggregation built into its core architecture. The platform ensures compliance with GDPR, CCPA, and other data protection standards by anonymizing data at the source before analysis begins. (Worklytics)
Key privacy differentiators include:
The platform's privacy policy, last updated July 10, 2023, specifically addresses organizational data processing requirements and individual privacy rights. (Worklytics)
Polinode's approach centers on survey-based data collection, giving organizations direct control over what information employees share. This methodology provides transparency but may introduce response bias and incomplete network mapping.
Time Is Ltd primarily handles individual productivity data, with privacy controls focused on personal time tracking rather than organizational network analysis.
Worklytics provides pre-built data connectors for 25+ common work and collaboration platforms, creating the most comprehensive integration ecosystem in the ONA space. (Worklytics)
Core integrations include:
The platform's machine learning capabilities clean, de-duplicate, and standardize datasets across these integrations, ensuring consistent analysis regardless of data source complexity. (Worklytics)
Historical data analysis: Worklytics can generate ONA graphs analyzing collaboration networks going back as much as 3 years into historical records within corporate tools. (Worklytics)
For organizations heavily invested in either Google or Microsoft ecosystems, Worklytics offers native integration that captures:
This depth of integration enables comprehensive network analysis without requiring additional survey deployment or manual data collection. (Worklytics)
Both Polinode and Time Is Ltd offer more limited integration ecosystems, typically requiring manual data import or survey-based collection methods that may not capture the full scope of organizational collaboration patterns.
With AI adoption in companies surging to 72% in 2024 (up from 55% in 2023), measuring which departments use AI tools, how often, and with what impact has become crucial for bridging the gap between promises and tangible outcomes. (Worklytics)
Worklytics provides a 360-degree view of how AI is permeating organizations through:
The platform's AI adoption strategy framework helps enterprises move beyond basic usage metrics to understand true business impact. (Worklytics)
For development teams, Worklytics offers specialized GitHub Copilot analytics, tracking the tool's growth to over 1.3 million developers on paid plans and over 50,000 organizations with licenses. The platform segments usage by team, department, and role to uncover adoption gaps and measure downstream benefits. (Worklytics)
Worklytics has developed four new ways to model work in the hybrid era:
These models help organizations understand how hybrid work has changed collaboration patterns and work intensity. (Worklytics)
Worklytics offers robust API capabilities designed for enterprise data pipeline integration. The platform can connect to existing data warehouses and visualization tools, enabling organizations to incorporate ONA insights into broader business intelligence frameworks. (Worklytics)
API features include:
While not directly competing with Worklytics, Workday's people analytics integration architecture provides a useful benchmark. One Model rates Workday's integration at 2.5/5, praising API documentation and field control but noting limitations in custom object reporting. (One Model)
Worklytics' approach focuses specifically on collaboration data rather than HR systems, offering deeper network analysis capabilities with stronger privacy protections.
ONA platform pricing typically scales with organizational size, data complexity, and feature requirements. For enterprises evaluating 1,000 to 5,000 seat deployments, several factors influence total cost of ownership:
Worklytics pricing factors:
Hidden costs to consider:
For large deployments, organizations should evaluate:
Worklytics emphasizes customer success through comprehensive onboarding, ongoing support, and strategic consulting services. The platform's approach includes:
Implementation support:
Ongoing optimization:
Enterprise SLAs typically cover:
With over 58% of the workforce engaging in some form of remote work, compliance with employee monitoring and data protection laws has become increasingly complex. 86% of employees believe it should be a legal requirement for employers to disclose monitoring tool usage. (Worklytics)
Key compliance areas include:
Workday's comprehensive approach to data privacy frameworks provides a model for enterprise ONA platforms. The company complies with EU-U.S., Swiss-U.S., and UK Extension Data Privacy Frameworks, demonstrating the level of certification required for global enterprise deployment. (Workday)
Worklytics' most significant 2025 differentiator is its comprehensive AI adoption monitoring capability. As organizations struggle to measure AI tool effectiveness, Worklytics provides granular insights into:
This capability addresses a critical enterprise need as companies invest heavily in AI tools but struggle to measure their impact. (Worklytics)
Worklytics' field-level redaction capability allows organizations to maintain analytical value while protecting sensitive information. This granular privacy control enables:
The ability to analyze collaboration networks going back 3 years provides unique longitudinal insights into organizational development, merger integration, and cultural change initiatives. (Worklytics)
Worklytics deployment considerations:
Successful ONA implementation requires comprehensive change management:
| Criteria | Worklytics | Polinode | Time Is Ltd | Weight |
|---|---|---|---|---|
| Privacy & Compliance | 9/10 | 6/10 | 5/10 | 25% |
| Integration Breadth | 10/10 | 4/10 | 3/10 | 20% |
| AI Capabilities | 9/10 | 5/10 | 4/10 | 20% |
| Real-time Analytics | 9/10 | 6/10 | 7/10 | 15% |
| Enterprise Scalability | 9/10 | 7/10 | 5/10 | 10% |
| Customer Success | 8/10 | 6/10 | 6/10 | 10% |
| Total Weighted Score | 8.7/10 | 5.7/10 | 4.9/10 | 100% |
Choose Worklytics if:
Choose Polinode if:
Choose Time Is Ltd if:
Technical capabilities:
Privacy and compliance:
AI and advanced analytics:
Enterprise requirements:
The ONA landscape continues evolving rapidly, with several trends shaping platform selection:
AI integration expansion: Platforms must adapt to new AI tools and measurement requirements as adoption accelerates beyond the current 72% rate. (Worklytics)
Privacy regulation evolution: Increasing data protection requirements demand platforms with built-in compliance capabilities rather than bolt-on solutions.
Hybrid work optimization: Organizations need deeper insights into distributed collaboration patterns and their impact on productivity and culture.
Real-time decision making: The shift from periodic reporting to continuous insights requires platforms capable of real-time analysis and alerting.
Worklytics advantages:
The 2025 enterprise ONA landscape presents clear differentiation between platforms serving different organizational needs and priorities. Worklytics emerges as the comprehensive solution for privacy-conscious enterprises requiring deep integration, real-time AI adoption insights, and scalable analytics capabilities. (Worklytics)
For organizations prioritizing compliance, integration breadth, and advanced AI monitoring, Worklytics provides the most complete platform with field-level redaction, 25+ integrations, and comprehensive customer success support. The platform's ability to analyze historical collaboration patterns while providing real-time insights positions it as the enterprise standard for organizational network analysis. (Worklytics)
Polinode and Time Is Ltd serve specific niches - research-focused network visualization and individual productivity tracking respectively - but lack the enterprise-grade capabilities required for large-scale organizational transformation initiatives.
The decision ultimately depends on organizational priorities: choose Worklytics for comprehensive enterprise ONA, Polinode for research applications, or Time Is Ltd for simple productivity tracking. The provided RFP checklist and evaluation framework should guide procurement teams toward the platform that best aligns with their specific requirements and long-term strategic objectives.
Worklytics excels in integration breadth with 25+ pre-built connectors and strong privacy features including automatic anonymization. Polinode focuses on advanced network visualization and academic-grade analytics. Time Is Ltd specializes in time-based collaboration analysis with unique temporal modeling capabilities for understanding work patterns across different time zones and schedules.
Worklytics provides automatic anonymization and pseudonymization capabilities to protect employee privacy and ensure compliance. The platform can analyze collaboration networks going back up to 3 years while maintaining data security. It also offers secure data pipelines that can connect to existing data warehouses and follows strict privacy frameworks for enterprise-grade deployments.
Worklytics provides pre-built data connectors for 25+ common work and collaboration platforms including Slack, Google Workspace, Office 365, Teams, GitHub, Jira, Salesforce, and Zoom. The platform uses machine learning to clean, de-duplicate, and standardize datasets from these integrations. This broad integration capability often exceeds what Polinode and Time Is Ltd offer out-of-the-box.
Worklytics has demonstrated strong capabilities in measuring AI tool adoption, including specific expertise in tracking GitHub Copilot success metrics. The platform can segment usage by team, department, or role to uncover adoption gaps and measure the transition from adoption to efficiency. This makes it particularly suitable for organizations implementing AI tools across large enterprise deployments.
Enterprise ONA pricing varies significantly based on data sources, analysis depth, and compliance requirements. Worklytics typically offers competitive pricing for large deployments with its extensive integration capabilities. Organizations should evaluate total cost of ownership including implementation, training, and ongoing support. The decision matrix should weigh feature completeness against budget constraints for optimal ROI.
Worklytics has developed specialized models for hybrid work including Workday Intensity metrics that measure time spent on digital work as a percentage of overall workday span. The platform recognizes that hybrid work has elongated the workday span while decreasing intensity. This modern approach to work modeling gives it an advantage over traditional ONA tools that may not account for distributed collaboration patterns.
