AI-driven chatbot as a support tool for developers during the onboarding process
Kivinen, Lea Katalina (2023)
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023060621819
https://urn.fi/URN:NBN:fi:amk-2023060621819
Tiivistelmä
This thesis explores the onboarding process for developers and investigates the potential of using artificial intelligence-driven chatbot technology to improve the process. The aim is to develop draft requirements for a chatbot software tool that can increase the efficiency of the onboarding process for the Crowd Collective company. By leveraging the power of AI, the chatbot tool has the potential to reduce the time and effort required for onboarding, while improving the experience for developers. The significance of this work lies in the potential to help companies streamline their onboarding process, save resources, and ultimately, achieve their goals more efficiently.
The first part of the thesis provides a comprehensive analysis of the onboarding process, including best practices, challenges faced by employees and companies, and the benefits of effective onboarding. Through an extensive review of literature, articles, this study demonstrates the importance of onboarding and argues for the need to improve the process. The analysis of chatbots used in education shows that this technology can address the gaps in the current onboarding process.
The second part of the thesis focuses on the experiences of developers during onboarding and the need for improvement from the company's perspective. The conducted survey and interviews reveal the flaws in the current process, and an interview with a company representative highlights the need for improvement. The analysis of available technology enables the creation of technical draft requirements for an AI-driven chatbot, including its features and implementation timeline.
The thesis serves as a basis for the development of a tool that can improve the onboarding process for developers and demonstrates its business value. Additionally, it highlights the need for future research on security and ethics in the use of AI-driven chatbots.
The first part of the thesis provides a comprehensive analysis of the onboarding process, including best practices, challenges faced by employees and companies, and the benefits of effective onboarding. Through an extensive review of literature, articles, this study demonstrates the importance of onboarding and argues for the need to improve the process. The analysis of chatbots used in education shows that this technology can address the gaps in the current onboarding process.
The second part of the thesis focuses on the experiences of developers during onboarding and the need for improvement from the company's perspective. The conducted survey and interviews reveal the flaws in the current process, and an interview with a company representative highlights the need for improvement. The analysis of available technology enables the creation of technical draft requirements for an AI-driven chatbot, including its features and implementation timeline.
The thesis serves as a basis for the development of a tool that can improve the onboarding process for developers and demonstrates its business value. Additionally, it highlights the need for future research on security and ethics in the use of AI-driven chatbots.