Data-Driven Innovation in Startups: Discovering Insights in Contexts of Uncertainty
This survey is part of the Final Project (TCC) of the MBA in Digital Business Management and Artificial Intelligence (USP/ESALQ), conducted by researcher Diego Brasil, under the supervision of Prof. Jorge Tadeu Brettas De Godoy.
The goal is to understand how data-driven startups extract valuable insights to drive innovation in contexts of uncertainty.
Confidentiality: The identity of the organization and respondent will be preserved. Data will be used exclusively for academic purposes.
• Answer based on your real experience. There are no right or wrong answers.
• Concrete examples are very valuable for the research.
• Feel free to expand your answers as much as you wish.
• Estimated completion time: 15 minutes.