Contact Center WFM Maturity Model

The Contact Center Workforce Management (WFM) Maturity Model outlines various stages of workforce management, providing a framework for organizations to assess and enhance their WFM practices. Here’s a concise overview of each maturity phase:

Note: These are key points for assessing WFM in a contact center. Additional observations may be needed, and these may not apply to all centers.


𝗖𝗿𝗮𝘄𝗹 (𝗕𝗮𝘀𝗶𝗰): Focuses on establishing fundamental WFM elements.

  • Forecasting: Minimal or no internal forecasting.
  • Planning: Basic capacity planning with no standardization or governance. 
  • Scheduling: 
    • Schedules are released 1-2 weeks ahead. 
    • High schedule inflexibility (inconsistent staffing at the interval level, periods of Overstaffing & Understaffing due to shift constraints like consecutive offs, limited hours of operation, etc. ).
  • Real-time management: RTM is mostly reactive, and focused on end-of-day KPI delivery. 
  • Agent productivity: Low agent productivity and adherence.


Walk (Intermediate): Introduction of WFM software and refinement of processes.

  • Forecasting: Long-term and short-term forecasts with ±10% accuracy (Week-to-Date/Month-to-Date).
  • Capacity Planning: Standardized inputs and outputs.
  • Scheduling:

        o Schedules are released 3-4 weeks ahead with quarterly bids.

        o Lower inflex with varied schedule types.

  • Real-time management: RTA manages the day with predefined alert mechanisms.
  • Agent productivity: Improved agent productivity and adherence with defined targets.


Run (Advanced): WFM focused on optimized processes & strategic decision-making

Fully integrated WFM software with ACD (Automatic Call Distributor), reporting, and BI (Business Intelligence) systems.

  • Forecasting: Long-term and short-term forecasts with ±10% accuracy (Day/Interval level).
  • Capacity Planning: Enterprise Global/regional operational unit (O/U) strategies.
  • Scheduling:
    • Schedule changes are limited to quarterly bids.
    • Employees hired in flexible/part-time schedules to create best-fit schedules.
    • Greater employee empowerment with self-service options (e.g., shift trades/bidding).
  • Real-time management: RTA predicts staffing shortages and re-forecasts as needed.
  • Agent productivity: Daily rigor on financial tracking (Bill to Pay) and schedule adherence.


Fly (Predictive): WFM focused on AI-driven automation, predictive analytics

  • Forecasting: AI-driven forecasting, data preparation, anomaly Handling, and predictive Modeling
  • Planning: Dynamic Capacity planning with scenario modeling and what-if analysis.
  • Scheduling:
    • AI-driven scheduling, automated staffing alerts, and proactive agent reallocation
    • Personalized, AI-generated schedules based on individual preferences, work-life balance, and productivity patterns.
  • Real-time management: AI-driven RTM, intelligent call volume monitoring & skill-based agent movement
  • Agent productivity: 
    • Predictive cost analytics for labor budget optimization.
    • Real-time workforce profitability tracking linked to revenue impact.


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Ritesh Parswani
Seasoned WFM professional