Dror Helper shares from his experience implementing Agile practices in his team, outlining the do and don'ts that can make all the difference. He addresses teams working in a non-agile environment.
David Hussman advises on story mapping: pick an idea, choose someone that might be helped by that idea, build a story map as a way to explore that person’s experience, and start the customer journey.
Michael Sahota discusses top 10 Agile gotchas: when release is ready, sprint meetings take too long, no retrospectives, people aren’t working together, getting new stories, stand-ups are boring, etc.
Steffan Surdek introduces key Tribal Leadership models for Scrum Masters, Project Managers, Development managers or anyone else interested in a better understanding the teams they are working with.
Stefan Fochler shares best practices on using Ember.js to master the needs of real-world web applications, discussing what worked well and what didn't.
Zach Holman discusses the various stumbling blocks GitHub encountered as the company grew over the years.
Stephen Hardisty presents how Etsy delivers products without having project managers, business analysts, or testers.
Darius Silingas reviews multiple real-world MDA cases by presenting the problems faced, analyzing what went wrong, and suggesting how to address similar issues in your projects and organizations.
Paul deGrandis emphasizes the importance of using specification-as-a-value, a way of unifying core.contracts, test.generative, and external systems under a single common specification in Clojure.
Craig Tataryn shares some of the practices he's experienced in the realm of remote development over the last decade, Dos and Don'ts, how to monitor outsourced projects, tools and techniques.
Tony Willoughby discusses project manager’s role in an agile team focusing on resourcing, cost control, high-level scope management, risk management and wider communication with business stakeholders.
Karthikeyan Ponnalagu presents Estimation Key Map, an automated technique for software project estimation based on a parametric model using historical data.