Philip Arkcoll

Philip Arkcoll works on making work actually work better. At Worklytics, he combines data, technology, and a deep interest in organizational behavior to help companies see how their teams collaborate—and where they can improve. His focus is on turning workplace data into practical insight that drives more effective, healthier ways of working.

Stacked area chart of the share of personnel working remotely 0 to 2, 2 to 3, 3 to 4 and 4 to 5 days per week across a year, with a marker where hybrid work began (demo data)

Metrics for Remote Work Effectiveness

January 23, 2026

Metrics play a key role in measuring performance and understanding which metrics directly impact effectiveness, efficiency, and informed decision making.

Measuring Knowledge Sharing and Innovation via ONA

January 23, 2026

By analyzing collaboration networks, ONA reveals how knowledge sharing fuels innovation and where organizations can intervene for better results.

Using Predictive Analytics to Predict Employee Turnover

January 23, 2026

Predictive analytics identifies patterns behind employee turnover, enabling leaders to anticipate risk and take action before attrition occurs.

Accelerating New Hire Onboarding with ONA

January 22, 2026

Accelerate new hire onboarding using Organizational Network Analysis to identify key connections, improve collaboration, and reduce time to productivity.

Measuring Organizational Agility via ONA

January 22, 2026

Organizational agility depends on how information moves, not just outcomes. ONA makes collaboration visible so leaders can understand where agility accelerates or breaks down.

How to Improve Workflow Productivity

January 14, 2026

Improve workflow productivity by removing bottlenecks, reducing meetings, protecting focus time, and using data to refine how work actually flows.

Illustration of a team analyzing enterprise productivity with charts, a target and a light bulb

How to Measure Enterprise Productivity

January 14, 2026

Understand how to measure enterprise productivity using modern analytics, productivity frameworks, and real world performance indicators.

What Is AI Governance and Why It Matters

January 14, 2026

AI governance defines the policies, frameworks, and controls that ensure responsible, ethical, and compliant AI use in organizations. Learn why it matters

Illustration of a team celebrating with a trophy surrounded by AI, brain, network and chart icons

What Are AI Champions & Why Your Organization Needs Them in 2026

January 14, 2026

AI Champions bridge the gap between experimentation and real business impact. Learn why every organization needs them to stay relevant in 2026.