Tools
Interactive calculators, planning tools, and analytical utilities for WFM practitioners.
🔥 All Tools
13 ToolsABA Curve Generator
Visualize and analyze abandonment rate curves. Model the relationship between wait time and caller patience.
WFM Variance Analyzer
Interval-level variance decomposition for contact center operations. Identify the true drivers of forecast variance.
Value-Based Planning Model
Interactive three-pool staffing model based on the Future of Work value thesis. Routes work by value score and AI capability. The thesis in calculator form.
Erlang Suite (B/C/A)
Comprehensive side-by-side comparison of Erlang B, C, and A models. Understand when each model applies and how they differ in practice.
Monte Carlo Staffing Simulator
Advanced stochastic capacity planning with configurable distributions, scenario comparison, and export. The most sophisticated staffing model in the WFM Labs toolkit.
Call Center Forecasting Demo
Demo forecasting toolkit showing how to build interval-level demand forecasts from historical data. Covers decomposition, trend, and seasonality.
Service Level Calculator
Calculate service level targets given agents, call volume, and handle time. The bread-and-butter WFM calculation.
Erlang-C Power of One
Simplified Erlang C model demonstrating how adding one agent impacts service levels. The most intuitive introduction to staffing math.
Erlang-O Calculator
Single-channel Erlang model for basic queueing calculations. The foundation of contact center capacity math.
MIV Abandon Rate Calculator
Minimal Interval Variance abandon rate calculations. Apply the MIV methodology to understand abandonment patterns at granular intervals.
Occupancy Variance Analysis
Occupancy-focused variance analysis tool. Decompose the gap between planned and actual occupancy at the interval level.
Spot Capacity Calculator
Real-time capacity planning for intraday staffing adjustments. Calculate how many agents you need right now based on current conditions.
Staffing Gap Optimizer
Multi-objective optimization for staffing decisions. Balance service levels, cost, and employee satisfaction simultaneously.