Organizational Network Analysis (ONA): What It Is and How HR Uses It

Organizational Network Analysis (ONA) is a data-driven method that maps how people actually collaborate, communicate, and create value within an organization, independent of the formal org chart.

This guide explains what ONA is, how it works, and why it's increasingly considered the most effective tool for identifying true top performers and reducing bias in performance management.

What Is Organizational Network Analysis?

Organizational Network Analysis (ONA) is the systematic mapping and analysis of relationships, information flows, and collaboration patterns within an organization.

Rather than relying on org charts (which show who reports to whom), ONA reveals who people actually work with. It surfaces who they turn to for expertise, who drives critical decisions, who enables others to do their best work, and whose absence would most disrupt operations.

ONA was developed from decades of academic research in sociology and organizational behavior. Pioneering work by MIT Sloan professor Alex Pentland, Wharton professor Adam Grant, and David Krackhardt at Carnegie Mellon established the theoretical foundation. Today it is applied commercially in HR, organizational design, and talent intelligence.

Key distinction: ONA measures informal networks, the "shadow org chart" that actually drives how work gets done, rather than formal reporting structures.

How ONA Works: The Data Collection Process

There are two primary methods for collecting ONA data:

1. Survey-Based ONA (Passive Network Survey)

Employees answer a brief survey, typically 8-12 questions taking under 10 minutes, that asks about their collaboration patterns:

• "Who do you turn to most for advice and expertise?"
• "Who has most helped you accomplish your goals this year?"
• "Who do you collaborate with to drive important decisions?"
• "Who contributes most to your team's success beyond their formal role?"

Responses are aggregated and analyzed to create a network map showing influence patterns, collaboration clusters, and key connectors.

Strengths: Privacy-protective; employees have full control over what they share; produces high-quality relational data with clear career implications

2. Passive Data ONA (Digital Exhaust Analysis)

ONA data can also be derived passively from communication metadata: who emails whom, who attends meetings together, who collaborates in shared documents.

Strengths: No survey required; continuous real-time data

Weaknesses: Privacy concerns; metadata doesn't capture quality of interaction; can reinforce existing biases (e.g., proximity to physical location)

Confirm uses survey-based ONA because it produces higher-quality data and preserves employee privacy.

What ONA Reveals That Traditional Metrics Miss

Hidden High Performers

In every organization, some employees have outsized positive impact on others' productivity, knowledge sharing, and decision quality. This impact is invisible to their direct manager.

Research from Wharton found that in a typical organization, the top 20% of "hidden contributors" (those most cited as valuable collaborators) drive 80% of the informal value in the organization. Only 40% of these hidden contributors are in management roles. The other 60% are individual contributors whose impact is systematically missed by traditional performance reviews.

ONA identifies these individuals. When Nansen (150 employees) first ran ONA, they discovered that 30% of their highest-impact contributors were in non-engineering roles that leadership had overlooked for advancement.

Flight Risk Signals

Network disengagement typically precedes formal resignation by 3-6 months. Employees planning to leave begin withdrawing from collaboration networks before giving notice. They form fewer cross-team connections, reduce mentorship relationships, and decline participation in informal knowledge networks.

ONA captures these signals. ZGF Architects used Confirm's ONA data to identify 23 flight-risk high performers and intervene proactively, retaining 21 of them and saving an estimated $1.2M in replacement costs.

Collaboration Bottlenecks

Network analysis reveals when too much information or too many decisions flow through a single person (an "overloaded hub"). These individuals become single points of failure and often the first to leave, since bottleneck positions are exhausting.

ONA also reveals "collaboration deserts," which are teams that are siloed and not well-connected to the rest of the organization. These teams typically struggle with innovation and knowledge transfer.

Bias in Performance Ratings

Perhaps the most commercially significant application of ONA is eliminating proximity bias in performance management.

Traditional performance reviews favor employees who are most visible to their manager: those who sit nearby, attend the same meetings, or share cultural affinity. Remote workers, introverts, and employees from underrepresented groups are systematically underrated.

ONA provides a bias-resistant evidence base. Rather than rating how visible someone is, it measures how much their colleagues rely on and value them, regardless of physical proximity or demographic characteristics.

ONA Applications in HR

Performance Management

ONA data supplements traditional performance reviews with objective evidence of collaboration value. Instead of asking managers to recall a year of performance from memory, ONA surfaces network data showing who people actually turned to, who drove decisions, and who enabled others.

This is the core of how Confirm works. Every performance review cycle incorporates ONA data to give HR leaders and managers an objective foundation for ratings and calibration.

Promotion Decisions

ONA is particularly valuable for promotion decisions, where the stakes are high and bias is especially prevalent. Network data answers the question: "Not just did this person perform their job well, but did they elevate everyone around them?"

Research shows that employees promoted based on ONA data have a 42% higher success rate in new leadership roles compared to those promoted based on manager opinion alone (MIT Sloan Management Review, 2023).

Retention Strategy

By identifying flight risks 3-6 months in advance, HR teams can intervene with targeted retention strategies. Options include compensation adjustments, career development conversations, and role changes, all before the employee has already mentally checked out.

Organizational Design

When companies are restructuring, merging, or forming new teams, ONA data helps leaders understand which connections are critical to preserve. It also surfaces where collaboration gaps already exist and how to build effective new teams based on existing network relationships.

Onboarding Optimization

New hire network integration is one of the strongest predictors of first-year retention. ONA can measure how quickly new employees build connections across the organization and flag those at risk of poor integration before they disengage.

ONA vs. Traditional Performance Reviews

ONA Research and Evidence Base

ONA in organizational contexts is supported by decades of peer-reviewed research:

• Rob Cross (University of Virginia): Foundational research on how network position predicts performance, retention, and career advancement
• Alex Pentland (MIT): Studies using sociometric badges to measure how communication patterns predict team performance; found network behavior predicts productivity better than survey-based engagement metrics
• Adam Grant (Wharton): Research on "givers" in organizations, those who contribute to others without expectation of return; givers are typically underrated in traditional reviews
• Wharton and MIT joint study (2022): Found that ONA-informed performance ratings were 40-60% more accurate than manager-only ratings when validated against future performance outcomes

How to Implement ONA in Your Organization

Step 1: Define the Business Question

ONA answers specific questions. Be clear on what you're trying to learn: Who are your hidden high performers? Where are collaboration bottlenecks? Which teams are flight risks?

Step 2: Design the Survey

Survey questions should map to your business question. Confirm's ONA survey uses validated question sets developed with organizational psychology experts. You can use these as-is or customize them for your context.

Step 3: Communicate the Purpose

Employees participate more honestly when they understand how the data will be used and how their privacy is protected. Confirm anonymizes all ONA responses. No individual answers are visible to managers or HR; only aggregate network maps are reported.

Step 4: Run the Survey

Confirm's ONA survey takes 8-10 minutes and is completed entirely within Slack or Microsoft Teams. USANA achieved 93% participation, the highest in their company's history, by embedding the survey in employees' existing workflows.

Step 5: Analyze and Act

ONA data becomes useful when it informs decisions. Use the network maps to guide calibration conversations, identify employees for development programs, intervene with at-risk talent, and inform organizational design choices.

Frequently Asked Questions About ONA

Is ONA surveillance?

No. Survey-based ONA gives employees full control over what they share. Responses reflect employees' own perceptions of their most valued collaborators. There is no metadata mining of communication activity. Individual responses are never shown to managers or HR; only aggregate network patterns are reported.

How is ONA different from engagement surveys?

Engagement surveys measure how employees feel about their work. ONA measures how employees behave, specifically who they collaborate with and who they rely on. Both are valuable, but ONA is more predictive of performance outcomes and organizational effectiveness.

Can ONA be gamed?

Survey-based ONA is more resistant to gaming than traditional performance reviews. Managers can artificially inflate ratings in traditional reviews. They cannot control which of their peers name them as valuable collaborators. Network data comes from the crowd, making it structurally harder to manipulate.

Does ONA work for remote teams?

Yes, and it works especially well for remote teams, where proximity bias is most severe. Remote employees who are high performers often receive lower ratings from managers who see them less frequently. ONA surfaces remote employees' contribution through their peers' responses, providing an objective counter-balance to proximity bias.

The Bottom Line

Organizational Network Analysis represents a fundamental shift in how organizations can understand and measure performance. Rather than relying on what managers see and remember, ONA captures the invisible fabric of collaboration that actually determines organizational performance.

For HR leaders serious about fairness, retention, and promotion accuracy, ONA is no longer a research concept. It is a production tool, built into platforms like Confirm, that changes how performance management works in practice.

Want to see Confirm's ONA in action? Book a demo