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Tutor recruitment optimisation for the unicorn ed-tech startup GoStudent

Gabriele Vaudano

Tutor recruitment optimisation for the unicorn ed-tech startup GoStudent.

Rel. Maurizio Galetto. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale, 2023

Abstract:

This work presents a comprehensive study on the redesign of tutor selection and interviewing processes as part of change management and business process optimization. The objective was to improve the effectiveness and efficiency of the existing processes, enhance the quality of tutor selection, and align them with the organization’s strategic goals. The study followed a structured approach, starting with process identification to understand the current state of the tutor selection and interviewing processes. This involved analyzing the workflow, identifying bottlenecks, and assessing the effec??tiveness of the evaluation criteria and methods used. The findings from this phase served as a baseline for the subsequent phases of the study. Next, the process discovery phase involved in-depth analysis of the as-is processes across different markets. This allowed for a better understanding of the unique requirements, challenges, and opportunities in each market. It provided valuable insights into the variations and specific needs of tutor selection and interviewing processes, which were crucial for the redesign phase. The process redesign phase focused on optimizing the processes based on best practices, literature review, and market analysis. The SERVQUAL methodology was utilized to develop a standardized scoring sheet that encompassed multiple dimen??sions relevant to tutor selection, such as reliability, assurance, tangibles, empathy, and responsiveness. The scoring sheet provided a structured framework for evaluating tutor candidates and ensuring consistency across markets. Throughout the implementation of the redesigned processes, change management principles were applied. This involved effective communication, stakeholder engagement, and training programs to ensure smooth adoption and acceptance of the changes. Business process optimization techniques were employed to streamline the workflow, eliminate redundancies, and improve overall efficiency. The study highlighted the importance of ongoing monitoring and evaluation to gauge the effectiveness of the redesigned processes. Key performance indicators were es??tablished to measure the success of the new processes, such as the quality of selected tutors, efficiency of the selection process, and customer satisfaction. Regular feed??back and data analysis allowed for continuous improvement and refinement of the processes. In conclusion, this study demonstrates the significance of change management and business process optimization in the redesign of tutor selection and interviewing pro??cesses. By adopting a systematic approach, organizations can align their processes with strategic objectives, enhance the quality of tutor selection, and improve overall operational efficiency. The findings from this study provide valuable insights for or??ganizations seeking to optimize their business processes, improve talent acquisition, and deliver high-quality tutoring services

Relatori: Maurizio Galetto
Anno accademico: 2022/23
Tipo di pubblicazione: Elettronica
Numero di pagine: 135
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ingegneria Gestionale
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-31 - INGEGNERIA GESTIONALE
Aziende collaboratrici: GOSTUDENT ITALY S.R.L.
URI: http://webthesis.biblio.polito.it/id/eprint/27567
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