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Welcome to WFM Labs
WFM Labs is an organization formed by workforce management professionals reinventing the next-generation approach to operating contact centers and the broader workforce. The wiki is the practitioner reference: methods, frameworks, calculators, and operating practices that turn the WFM Labs thesis into something a working WFM team can adopt, adapt, and extend.
This site is an extension of three connected properties:
- Kyōdō Solutions — workforce strategy consulting
- WFM Labs — the organization
- community.wfmlabs.org — the discussion forum and member registration
Our Principles
- Collaboration — WFM Labs is a collection of workforce management projects developed by members of WFM Labs.
- Adoption and remixing — WFM Labs tests new ideas, processes, and creative approaches to be used by anyone seeking to improve their workforce management practices. Most organizations have unique requirements; remixing is encouraged.
- Transparency — Anyone can inspect this wiki for errors or inconsistencies. Transparency matters for our community.
Featured Today
Forecasting Methods
Master reference for forecasting techniques used in WFM. Decision tree by data shape, family-at-a-glance, benchmark imperative, and links into the full forecasting curriculum — from naive baselines through ARIMA to intermittent demand and probabilistic forecasting.
A different page is featured each day. Visit a random page for serendipitous browsing.
Featured Frameworks
WFM Labs publishes branded frameworks that have anchored practice across many organizations. Each is documented in depth with practitioner guidance.
| Framework | What it does |
|---|---|
| WFM Labs Maturity Model™ | Five-level assessment of WFM operating maturity, from Initial through Pioneering. The benchmark for "where are we now and what comes next." |
| WFM Labs Erlang-O™ | WFM Labs' branded Erlang variant, applied to modern multi-channel contact center workforce planning. |
| WFM Labs Risk Score™ | Risk-rating methodology for capacity planning and service-level scenarios. Pairs with probabilistic forecasting and resilient capacity plans. |
| Future WFM Operating Standard | The thesis: the next-generation WFM playbook, organized around the GRPI-T framework. |
| WFM Ecosystem Architecture | The four-pillar reference architecture: Core, Automation, Capacity Planning, Analytics, connected by open APIs. |
| WFM Assessment | Quick assessment tool to plot your operation on the Maturity Curve. |
Browse the Wiki
Forecasting
Comprehensive curriculum on time-series forecasting methods applied to WFM, anchored in Hyndman's Forecasting: Principles and Practice.
- Forecasting Methods — overview and decision tree
- Naive and Seasonal Naive Forecasting — the baseline
- Exponential Smoothing — ETS family
- ARIMA Models — AR, MA, ARIMA, SARIMA, ARIMAX
- Regression for Forecasting — with explanatory variables
- Time Series Decomposition — STL and the diagnostic step
- Hierarchical Forecasting — multi-level reconciliation
- Forecast Accuracy Metrics — MAE, RMSE, MASE, CRPS
- Intermittent Demand Forecasting — Croston, SBA, TSB
- Probabilistic Forecasting — prediction intervals and quantile forecasts
- Forecast Combination — ensembling methods
- Judgmental Forecasting — disciplined SME judgment
Operations & Real-Time
- Resource Optimization Center (ROC) — the operational hub
- Daily ROC Routine — the procedural manual
- Variance Harvesting — Level 3 operating principle
- Event Management — incident response framework
- Real-Time Cause and Effect Fishbone — root cause analysis
- Next Generation Routing — advanced routing capabilities
Capacity Planning & Calculators
- Demand calculation — the foundational supply-demand math
- Power of One — interval-level service-level sensitivity
- Speed to proficiency curve — new hire ramp modeling
- Annual Attrition, Training Attrition, Onboarding Costs, Length of Training, Annual Salary — workforce cost calculators
- Dynamic Calculators — interactive calculator catalog
AI & Automation
- Intelligent Automation — RPA and IA in WFM contexts
- AI Scaffolding Framework — 7-layer infrastructure model
- Multi-Objective Optimization in Contact Center — Pareto-efficient WFM optimization
- Discrete-Event vs. Monte Carlo Simulation Models — comparison
Workforce Strategy
- Workforce Management Standard Introduction — traditional WFM context
- Changes to the Future of Workforce Management — drivers behind the change
- WFM Goals, WFM Roles, WFM Processes — the operating standard's pillars
- Interpersonal Relationships — WFM relationships across the organization
- Technology — technology categories and the modern ecosystem
- Intelligence-Driven Recruiting — outbound talent sourcing for WFM
- Level 1 Process Templates — process templates from Adaptive
Get Started
Different visitors come to the wiki for different reasons:
- New to WFM? Start with Workforce Management Standard Introduction to understand traditional WFM, then Changes to the Future of Workforce Management for the drivers reshaping the field.
- Running a WFM team? Take the WFM Assessment to plot your operation on the Maturity Curve, then read the Future WFM Operating Standard for what comes next.
- Looking for a specific calculator? Dynamic Calculators indexes them all.
- Investigating a method? Forecasting Methods is the entry point for forecasting; WFM Processes covers operational methods more broadly.
- Building autonomous operations? AI Scaffolding Framework walks the seven-layer infrastructure assessment; WFM Ecosystem Architecture frames the four-pillar approach.
Connect
The wiki is the practitioner-facing layer. The conversation and the consulting happen elsewhere:
- community.wfmlabs.org — discussion, member registration, and the broader WFM Labs community. Anyone can read this wiki; contributing requires registration through the community.
- Kyōdō Solutions — the consulting firm extension of WFM Labs principles into client engagements.
- WFM Labs — the organization site.
Suggest an edit, flag an error, or recommend a new topic via the WFM Labs Community.
