Calculate workload
Convert contacts and handle minutes into consistent hours.
Business and customer analytics · EDITION 1.0.0
Create a transparent workload model, stress its demand and availability assumptions and distinguish planning headcount from queueing and scheduling guarantees.
By Sanjaay Gowda T S · For support operations analysts, team leads and workforce planning beginners.
Runtime and hardware details
Python 3.10 or later and a terminal. The supplied project runs locally and uses the Python standard library.
No model, API key, cloud account or network calls are used by the companion.
Basic spreadsheet arithmetic and familiarity with the topic; Python 3.10+ and a terminal for the optional companion project.
Full setup and scope ↓$2.99USD · one-time purchase
Prepared with AI assistance. Independent human technical, editorial and assistive-technology reader review remains pending. Automated checks and agent review are not certification.
PDF + EPUB + companion project. Any applicable tax is shown at checkout. Single-reader ebook terms; companion code is MIT licensed.

TRY THE FREE SAMPLE
Read 6 sample pages to explore the introduction, first chapter and teaching approach before you choose the complete edition.
WHAT YOU WILL LEARN
Convert contacts and handle minutes into consistent hours.
Apply occupancy and shrinkage without double counting.
Distinguish a workload requirement from an SLA or staffed schedule.
INSIDE THE BOOK
Python 3.10 or later and a terminal. The supplied project runs locally and uses the Python standard library.
No model, API key, cloud account or network calls are used by the companion.
Learning prerequisites: Basic spreadsheet arithmetic and familiarity with the topic; Python 3.10+ and a terminal for the optional companion project.
Prepared with AI assistance. Independent human technical, editorial and assistive-technology reader review is pending.
The included examples are synthetic teaching material. Model access, software subscriptions, hosting, ongoing updates and consulting are not included.
CLEAR EXPECTATIONS
Create a transparent workload model, stress its demand and availability assumptions and distinguish planning headcount from queueing and scheduling guarantees. The local companion uses fictional teaching fixtures. Project limits: No Erlang C, abandonment, queueing or interval scheduling model is implemented. Occupancy and shrinkage are planning inputs, not recommended universal targets. FTE is a period-normalized unit, not a count of scheduled people.
The 10 companion tests passed on the packaged project. The supplied fictional fixture produced its recorded expected JSON output. EPUBCheck reported no errors or warnings; DAISY Ace and PDF/UA automated checks passed. These local teaching checks are not production accuracy claims or certification. Independent human technical, editorial and assistive-technology reader review remains pending.
Complete the secure Lemon Squeezy checkout to access the PDF, EPUB and companion ZIP. Keep your receipt and download access private. This is a one-time purchase of edition 1.0.0; ongoing updates and consulting are not included.
The full ebook is licensed to one reader. The labelled free sample may be shared unchanged. The companion project is MIT licensed and may be adapted or shared with its licence notice. See the exact ebook terms.
One book. A complete learning project. Evidence you can inspect.
AI-assisted · Independent human review pending