Work intelligence glossary

AI adoption is the process of using and integrating AI tools into daily work, and includes three stages: research and exploration, workflow integrations and full-blown transformation.

AI impact is the measurable effect AI tool usage has on employee productivity and business performance, showing whether AI improves outcomes like focus and efficiency.

AI measurement is the process of tracking and quantifying AI tool usage across an organization, and connecting that data to outcomes like productivity, utilization and business performance.

Employee productivity measures the value employees create relative to the time, effort and resources invested.

Privacy-first is a business technology strategy that prioritizes employee privacy, trust and transparency as foundational to data collection and analysis.

Productivity analytics is the use of data to measure, analyze and improve how work gets done within an organization.

Productivity optimization is the practice of analyzing work patterns and removing friction so employees can focus on work that drives results.

Workforce analytics is the practice of collecting and analyzing digital employee activity data to understand how work happens across an organization.

Workforce intelligence is the use of data, AI and analytics to gain actionable insights into employee performance, team productivity, workforce capacity and organizational health.

Workforce management is a set of strategies — employee activity tracking, and compliance monitoring and more — designed to make the most of an organization’s workforce investments.

Workforce optimization is the practice of aligning people, processes and technology to boost productivity, reduce costs and improve business outcomes.

Workforce planning is a set of steps organizations take to ensure the right people are in the right roles and, focused on the right activities, to achieve business objectives.