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Data Driven

Dave Wentzel on the Importance of Design Thinking

Nov 9, 2021
The podcast discusses the importance of design thinking in data and software projects. It explores challenges in requirements gathering and project management. They emphasize the value of empathetic design and conducting mini design thinking sessions. The speakers also discuss estimating work in Kanban, slack time in improving throughput, and the significance of data analysis and collaboration in design thinking. The chapter concludes with a discussion on writing a book and the benefits of design thinking in the discovery phase.
01:09:24

Podcast summary created with Snipd AI

Quick takeaways

  • Design thinking focuses on users, prototypes, and continuous learning, allowing project teams to align solutions with user requirements.
  • Fixed fee/fixed scope projects face challenges in accurately estimating work and hinder effective collaboration, while design thinking offers transparency and flexibility.

Deep dives

Applying Design Thinking to Data and Software Projects

Design thinking is highlighted as an effective approach for managing data and software projects. Unlike traditional methodologies such as agile or scrum, design thinking focuses on users, ideas, building prototypes, failing fast, trying out solutions, and continuous learning. This approach recognizes the importance of understanding the real requirements and the users' perspectives, rather than relying solely on preconceived notions. By using rapid prototyping and iterations, design thinking enables project teams to continuously refine their solution and align it with the problem at hand. This approach also encourages adaptability to change, as it does not rely on fixed sprints or rigid scopes, but rather emphasizes flexibility and collaboration throughout the project.

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