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This dataset provides an in-depth exploration of risk management practices within the software startup ecosystem, capturing the perspectives of 89 startups through a comprehensive survey of 72 questions. It investigates the prevalence and management of risks related to team dynamics, methodologies, and product development across various stages of startup growth. Key areas of focus include the identification, analysis, and mitigation of risks, alongside an examination of how these practices evolve as startups transition from early to later stages. Additionally, the dataset explores the correlation between risk management strategies, risk exposure, and project outcomes, offering insights into the effectiveness of informal and team-based risk management approaches.
This rich dataset not only sheds light on the critical risks that concern software startups but also highlights the relationship between diligent risk management and enhanced product satisfaction. It serves as a reference resource for startup founders, project managers, and researchers aiming to understand and improve risk management in the dynamic and uncertain environment of software startups.
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