This research identifies shared strengths of Scrum and Kanban, such as iterative and incremental work and effective workload management, which are particularly beneficial in startup contexts characterized by high uncertainty. By systematically comparing the fundamental elements of both methodologies, the study delineates key dimensions and components that inform the development of a hybrid approach. This study aimed to explore which components of Kanban and Scrum are best suited for navigating uncertainty and ambiguity in a fast-paced environment. To achieve this objective, our first research question delves into the productive attributes of both Scrum and Kanban methods, laying the groundwork for our investigation. Additionally, we sought to identify the key factors driving adaptations in the application of these methods within software startups, as well as pinpoint the highlighted concepts and elements that can be effectively utilized. This formed the basis of our second research question, with the ultimate aim of developing a hybrid model that integrates the most beneficial aspects of both methodologies, thus addressing the challenges posed by uncertainty and rapid change in the initial phase of the study. We employed a mixed-methods approach, utilizing a literature review, survey, and case study analysis. The theoretical foundation was established through a comprehensive review of existing literature on Scrum and Kanban, supported by the construction of a comparative mind map. Survey data was collected from industry professionals to gather insights into the practical application of these methodologies. Additionally, a case study was conducted to provide a deeper understanding of the challenges and successes in implementing agile practices within a startup environment. Through our research, we identified key dimensions and components of Scrum and Kanban relevant to software startups, including values, principles/practices, team structure, events/cadences, and artifacts. By analyzing survey responses and conducting in-depth interviews, we gained valuable insights into the strengths and limitations of each methodology. Moreover, our case study provided real-world examples of the challenges faced and strategies employed in a startup setting. The findings suggest that while Scrum and Kanban offer distinct strengths, a hybrid approach integrating both methodologies can better address the dynamic needs of software startups. The proposed hybrid model emphasizes flexibility and adaptability, allowing startups to tailor practices to their specific context while leveraging the strengths of Scrum and Kanban. Overall, this research contributes to a deeper understanding of how startups can navigate agile transformation and achieve success in a competitive market.