Workforce Engagement Management: 2026-27

Summary

Authors: Layne Haaksma, Senior Research Analyst

Workforce engagement management (WEM) remains critical for supporting agent engagement, supervisor effectiveness, and customer experience. As WEM suites evolve with AI, digital twins, and advanced analytics, organizations can now proactively optimize workforce performance in real-time. This study explores how AI-enabled WEM tools, combined with predictive and prescriptive analytics and digital twins, enhance operational efficiency, boost employee engagement, and deliver measurable ROI. Key topics will include:

  • Intelligent scheduling
  • Real-time feedback
  • AI-powered virtual assistants
  • Quality management
  • Characteristics of high-impact WEM initiatives—highlighting where technology drives value and where gaps remain

Table of Contents

  • About Metrigy & the Study
  • Key Findings
  • Business & Agent Metrics
  • WEM Apps & Buying
  • Customer Feedback in WEM
  • AI & Agentic AI for WEM
  • AI Pricing & Budgeting
  • Supervisor Experience
  • Agent Experience & Coaching
  • Automated Quality Management (QM)
  • Managing AI Agents
  • Demographics

Author(s)

Layne Haaksma

Layne Haaksma

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