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The appraisal company, with a decentralized structure through its branches, needed to improve the quality control of its appraisal reports to ensure consistency, accuracy, and compliance with established standards. Various discrepancies were detected between branches, along with high variability in audit results, particularly in aspects such as documentation, identification, transcription, and surface area of the reports.

A technical audit was conducted using stratified sampling to ensure adequate representation of all branches and report types. This included the validation of more than 1,400 appraisal reports, with the analysis of over 300 fields per report. A Technical Quality Index (TQI) was created to assess and weigh the technical risk of each report based on the errors detected. Additionally, preventive quality control systems were established to identify and correct potential errors before the reports were sent to clients.
The audit demonstrated that over 75% of the reports exceeded a TQI of 4.5, indicating a high level of technical quality. Thanks to the implementation of quality control systems and continuous process improvement, incidents could be anticipated and post-review revisions were reduced, saving costs related to re-evaluation and modification of reports. The audit helped standardize quality standards across branches, thus increasing clients’ trust in the appraisal process.

In addition to preparing the technical audit report, I designed and executed the stratified sampling using Python, ensuring that all groups and branches were adequately represented. I also supervised the integrity of the collected data and collaborated in the analysis of more than 1,400 reports, evaluating technical quality indicators and providing recommendations to improve the company’s internal processes.

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