I have been interested in how artificial intelligence as an emerging technology may shape our work since the advent of ChatGPT; see my various articles on the topic. As you may imagine, when OpenAI’s Deep Research became available to me last week, I had to test-drive it.
I asked it to investigate how AI-driven approaches enable agile product teams to gain deeper customer insights and deliver more innovative solutions. The results were enlightening, and I’m excited to share both my experience with this research approach and the key insights that emerged. (Download the complete report here: AI in Agile Product Teams: Insights from Deep Research and What It Means for Your Practice.)
TL; DR: Psychological Safety as a Competitive Edge
Psychological safety isn’t about fluffy “niceness”—it is the foundation of agile teams that innovate, adapt, and deliver.
When teams fearlessly debate ideas, admit mistakes, challenge norms, and find ways to make progress, they can outperform most competitors. Yet, many organizations knowingly or unknowingly sabotage psychological safety—a short-sighted and dangerous attitude in a time when knowledge is no longer the moat it used to be. Read on to learn how to keep your competitive edge.
The Forensic Product Backlog Analysis: A 60-minute team exercise to fix your Backlog. Identify what’s broken, find out why, and agree on practical fixes—all in five quick steps. There is no fluff, just results.
Want technical excellence and solve customer problems? Start with a solid Product Backlog.
TL; DR: Three Data Points Pointing to the Decline of the Scrum Master’s Role
If you hang out in the “Agile” bubble on LinkedIn, the dice have already been cast: Scrum is out (and the Scrum Master), and the new kid on the block is [insert your preferred successor framework choice here.] I’m not entirely certain about that, but several data points on my side suggest a decline in the role of the Scrum Master.
Read on and learn more about whether the Scrum Master is a role at risk.
Can you rely on pure Scrum to transform your organization and deliver value? Not always. While Scrum excels in simplicity and flexibility, applying it “out of the box” often falls short in corporate contexts due to limitations in product discovery, scaling, and portfolio management.
This article explores the conditions under which pure Scrum thrives, the organizational DNA required to support it, and practical scenarios where it works best—along with a candid look at where it struggles. Discover whether pure Scrum is a realistic approach for your team and how thoughtful adaptation can unlock its true potential.
Leadership anti-patterns often undermine product team empowerment — an essential success factor in Marty Cagan’s product operating model. These failures include micromanagement, overly rigid constraints, conflicting stakeholder demands, informal power struggles, and inadequate tools.
Learn more about addressing these challenges by redefining success, aligning incentives, fostering alignment, and balancing autonomy with standardization.
