← Resources

Free white paper · Part 4 · with spreadsheet

The Contact Centre Forecasting Masterclass

From the three building blocks to a defensible, accurate forecast — the complete craft, honestly explained.

Most of what separates an accurate forecast from a poor one is not the sophistication of the method — it is the discipline applied to the basics. This paper walks the whole craft in order: the three building blocks, getting the data right, choosing a method that fits, capturing every demand pattern, translating volume into a staffing requirement, and measuring accuracy honestly enough to improve. Written for the planner or analyst who does the forecasting.

Cover of the ccplanning.net white paper: The Contact Centre Forecasting Masterclass

Get the paper by email

Enter your email and we’ll send you the PDF — and add you to the fortnightly ccplanning newsletter. Unsubscribe any time.

Delivered via Buttondown. We’ll never share your address. By subscribing you join the ccplanning newsletter.

What’s inside

  • The three building blocks — volume, AHT, shrinkage — and why forecasting all three matters
  • Getting the data right: granularity, channel separation, clean actuals, event flags
  • The method ladder — from naive to machine learning, and how to pick the right rung
  • The demand patterns you must capture: trend, seasonality, day-of-week, intraday, events
  • Forecasting beyond voice: chat concurrency, email backlog, and new operations
  • From volume to staffing through Erlang and shrinkage — the full chain
  • Measuring accuracy honestly: WAPE, MAPE, and bias, by horizon, against a baseline
  • The forecasting cadence, common mistakes, the AI-era place for ML, and a practical workflow

Includes free companion tools. A worked forecasting methods spreadsheet — sample data with four methods and an accuracy comparison, all live formulas — plus the volume forecaster, Erlang C, Erlang A, and shrinkage calculators that run the whole volume-to-staffing chain. No sign-up needed for the tools themselves.

Fourth in a series. See also AI and the Workforce Planner, The Business Case for Workforce Planning, and Building a Workforce Planning Function.