Security, privacy & ethics

Better insights.
Built on trust.

Understand how work happens while respecting the people doing it. Privacy and security are built into the way Network Perspective processes collaboration data.

See how we protect data Our approach to ethics

Privacy at every step

01
Only the metadata
Interaction patterns. No communication content.
02
Protected identities
Identifiers are hashed before analysis.
03
A team-level perspective
Insights for groups of at least five people.

Privacy by design

See the patterns.
Respect the people.

Network Perspective helps teams improve how they collaborate. Its technical safeguards start with the data it collects and continue through to the insights people see.

01 / DATA MINIMIZATION

Metadata, without the content

NP_Sync reads interaction metadata from collaboration tools. The content of messages, emails, and conversations is never processed.

02 / IDENTITY PROTECTION

Identifiers are pseudonymized

Direct identifiers are hashed using HMAC. In a hybrid deployment, the hashing key stays in your possession, inside your infrastructure.

03 / TEAM-LEVEL INSIGHTS

Collective ways of working

Results are aggregated for teams or groups of at least five people. Access to the insights is secured with single sign-on.

5+people per reporting group

Read-onlyaccess to collaboration APIs

HMAChashing of identifiers

SSOaccess to team insights

From interactions to insights

A clear boundary.
A transparent data flow.

In the hybrid model, NP_Sync runs in your environment. Sensitive data is processed there before a pseudonymized interaction graph is sent to Network Perspective.

Your infrastructure

Your collaboration tools

Read-only API access

SECURITY & COMPLIANCE LAYER

NP_Sync

Read metadata · remove PII · hash identifiers

Key VaultAPI keys + your hashing key

Behind your firewall. No inbound access required.

Pseudonymized
interaction graph

Network Perspective infrastructure

Network Perspective

Collaboration analysis

Meeting loadDeep workTeam connections

Team-level insightsGroups of 5+ people · SSO access

01
Connect securely
NP_Sync retrieves API credentials and the hashing key from Key Vault, then reads collaboration metadata.
02
Protect before transfer
Direct personal information is removed and identifiers are hashed before the interaction graph leaves your environment.
03
Turn patterns into action
Network Perspective computes collaboration metrics and presents aggregated insights through a web interface secured with SSO.

Explore supported integrations

Deployment that fits your organization

Your environment.
Your choice.

Keep the security-critical layer in your own infrastructure, or choose a fully managed deployment.

CONTROL WITHIN YOUR INFRASTRUCTURE

Hybrid deployment

Host NP_Sync yourself. Network Perspective runs the analytics layer using the pseudonymized interaction graph.

Direct access to source data stays in your environment
API secrets and hashing keys are stored in your Key Vault
One container, behind your firewall
Open-source code that your team can audit

Azure · AWS · GCP · Kubernetes · Docker

MANAGED BY NETWORK PERSPECTIVE

SaaS deployment

Let our team manage every part of the solution, with minimal setup and infrastructure involvement on your side.

All solution components managed by the vendor
Authorize read-only access to your collaboration tools
No NP_Sync container for your team to operate
Team-level insights through the Network Perspective interface

A fully managed path to collaboration insights

Reviewing your deployment requirements?
Walk through the architecture with our team.

Schedule a conversation

Ethics in collaboration analytics

Employee trust
comes first.

Workplace analytics brings responsibility. Understanding how people work should help them thrive, with clear boundaries around what data is collected and how it is used.

These practices help organizations turn insights into better working conditions and informed leadership decisions.

Explore the research

Start with a positive purpose

Define how your analytics program will benefit employees. Focus on reducing friction, supporting teams, and improving the experience of work.

Use insights to support people and improve retention.
Avoid using analytics to target people for removal or withdraw support based on predicted behavior.
Document which insights managers can see and how they may use them in a management disclosure agreement.

Be transparent with employees

Explain what you collect, why you collect it, who can access it, and how the results will be used.

Co-create a code of practice with employees and make it available to everyone.
Set clear guidelines for collecting, analyzing, and sharing data.
Address consent and available opt-out choices with employees and your legal team.
Create a clear process for communication, feedback, and acting on concerns.

Collect less. Protect what you use.

Keep a clear distinction between professional and personal data. Use only what is necessary for your stated purpose.

Limit access to people who need the data for their work.
Remove data when it is no longer needed.
Work with your technical team on hashing, aggregation, and access controls.
Assess data protection and run security audits before putting a system into operation.

Question bias and assumptions

Data and algorithms can reflect existing bias. Treat recommendations as inputs to human judgment and regularly review their accuracy.

Make assumptions and AI guidelines transparent and auditable.
Establish data quality guidelines and gather employee feedback on accuracy.
Evaluate tools for detecting bias and define what happens when it is found.
Record decisions informed by algorithms and validate trends across representative data collected over time.

Make responsible use a shared practice

Ethical analytics needs continuing oversight, beyond the initial technical setup.

Create a governance council to review projects and data quality.
Involve legal specialists and set clear responsibilities.
Make management commitments to positive use explicit.
Listen for emerging concerns and review the program with the people it affects.

Research & perspectives

Build your approach
on shared knowledge.

Explore the research we developed with more than 20 workplace analytics experts on active and passive employee listening.

EMPLOYEE EXPERIENCE RESEARCH

How to measure employee experience in remote workplaces?

Best practices for listening to employees and understanding their experience of work.

Explore the research

Put trust into practice

Better ways of working.
A responsible place to start.

See how Network Perspective can help your teams.

Schedule a demo

Better insights.
Built on trust.

Only the metadata

Protected identities

A team-level perspective