L'université de Westcliff automatise les évaluations des enseignants afin d'améliorer les opérations académiques

Westcliff University, a higher education institution, faced significant operational inefficiencies with its manual faculty evaluation process. Academic operations staff spent considerable time copying, pasting, and formatting data from various systems into documents, then manually filing them. Sheetgo implemented an automated solution that seamlessly pulls evaluation data, generates formatted documents, and organizes them into faculty folders, drastically reducing manual effort and ensuring timely feedback for academic excellence.

The academic operations team at Westcliff University struggled with a highly time-consuming and error-prone manual process for faculty evaluations. This multi-step workflow involved extracting evaluation data from their learning management system, manually transferring it into a survey platform, then re-entering this information into document templates. These documents then required manual conversion to PDF format and tedious filing into individual faculty folders. This inefficient cycle consumed valuable staff time, delayed data analysis, and hindered the timely communication of crucial feedback to faculty members, ultimately impacting the efficiency of academic administration.

Sheetgo revolutionized Westcliff University's faculty evaluation process by implementing a fully automated workflow. The system was configured to automatically retrieve evaluation data collected from Google Forms, eliminating all manual data entry and transfer. From this imported data, Sheetgo then automatically generated structured Google Docs, which were effortlessly converted into PDF files. The automated process further ensured that these final PDF evaluations were delivered to the appropriate digital storage locations for each faculty member, saving substantial time and reducing the risk of errors. This seamless automation freed up academic operations staff from tedious administrative tasks, allowing for faster analysis of evaluation data and more efficient communication with faculty. The integration with existing Google services made the transition smooth and intuitive for the university team.