Research archive · 2006 study
Pricing House Cleaning Assignments
House Cleaning Alliance’s Statistical Analysis & Practical Applications
By Supadej Ksrisuwan and Christopher R. Lude
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179cleaning assignments
3 monthsof observed work
87%within 25% predictive error
Model IIselected for the Pricer
Published research
The statistical foundation of the HCA Pricer
During 2006, the House Cleaning Alliance sponsored a statistical study to derive a formula for pricing recurring residential cleaning assignments. The model predicts the man-minutes required for a professional team to clean an occupied single-family home.
The 18 numbered sections at left preserve the published paper. They are intentionally locked against ordinary WordPress editing so the historical work is not silently rewritten. This overview, the authors’ biographies, and all other public website copy remain editable.
Man-minutes equal elapsed cleaning time in minutes multiplied by the number of people on the team. Travel time is excluded.
Practical application
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Research team
About the authors
The original study combined formal statistical analysis with operating experience from a large independent residential cleaning company.
Supadej Ksrisuwan
Statistical analysis
Supadej Ksrisuwan was born in Bangkok, Thailand, in 1981. After graduating from Assumption College, he earned a Bachelor of Engineering from Chulalongkorn University in 2003. He later changed fields from engineering to economics and finance and earned his master’s degree from the University of Colorado at Denver in 2006.
Drawing on two years of experience as a research assistant in microeconomics, he performed the statistical analysis for this study.
Christopher R. Lude
Industry analysis
Chris Lude earned his MBA from the Tuck School of Business in 1994. He previously worked as a CPA for Price Waterhouse and held management and finance positions including investment banking at Bear Stearns and fund management at AIG.
He founded Denver Concierge in 1999 and grew it into one of the nation’s largest independent house cleaning companies before selling it in 2006. His operating experience supplied the industry analysis and practical application in this study.