2020 – All Episodes

Spotify Model for Engineering Culture - Part 1/3

This week, Ricardo kicks off a series of 3 episodes about the engineering culture created by Spotify to manage and deliver projects. The Spotify model aims to shape a culture of self-organized, autonomous teams, where independence and alignment combined with a strong focus on people and motivation aim to bring agility at scale with fast decoupled releases and an incredible sense of mutual trust.

Let’s be Mindful: What really is a Distinct Mindset?

In this episode, Ricardo comments on a recent LinkedIn post comparing “Project Management Thinking” with “Scrum Master Thinking”. The post clearly presents one side as a controller, authoritarian, centralizer, etc. and the other as a team player and an enabler. On a rare reply to posts, Ricardo mentioned that this is not the right comparison. This is a comparison between competent and incompetent professionals.

Understanding Scope Statement, Statement of Work and Requirements

In this episode, Ricardo explains the fundamental difference between the scope you define for the project, the procurement documents you may use to source products and services, and the requirements you identify to set the boundaries of the work you need to do. It is essential to highlight that Ricardo does not restrict these documents to waterfall project management.

Agility and Agile are Not Necessarily the Same Thing

In this episode, Ricardo discusses the organizational and individual behaviour that shapes the concept of agility: rapid decision making, flat structure, decision close to the execution, adaptation to change. He also discusses the Agile methods or approaches that intends to help organizations embed the concept of agility inside their organizations. However, the problem goes above and beyond a technique.

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Section Statistics
599
Total Episodes
35
Published in 2020
11,712,726
views (All Episodes)
Last updated at: 30 Nov 2022
About the podcast statistics Starting in December 2020, the podcast total view count includes the views on the website plus the download statistics from Amazon's S3, where the files are hosted, and also statistics generated from applications including Spotify, Apple Podcasts, Soundcloud, etc. that consume the podcast RSS feeds.
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