The Missing 'So That': A Case Study in Distance
AI can write a user story. It can’t have the conversation that makes it mean something. A case study in distance.
Faster Delivery Doesn't Fix an Unclear Backlog
AI makes your team faster. It won’t tell you what’s worth building. Here’s why the backlog question still comes first
Two conversations, one question: what matters more than speed
Two client conversations, one lesson: no AI model or management conviction replaces listening before deciding how fast to move.
10x Productivity: What the Promise Leaves Unaccounted For
Your team’s “10x” AI-accelerated capacity isn’t stable — it fluctuates unpredictably. Is your planning accounting for that?
The Bottleneck Was Never in the Coding
AI coding assistants promise faster delivery. But what if coding was never the bottleneck? A queueing theory perspective.
The Variation You Know vs. The Variation You Don't
Are AI coding assistants reducing variation in your team — or just making it invisible? The evidence cycle is younger than you think.
No time to change: When Knowing There's a Better Way Isn't Enough
Knowing there’s a better way isn’t enough. What stops teams from changing — even when the cost of staying stuck is obvious?
The Comfort of a Bad Outcome
Why do teams cling to broken processes? A UCL study explains more about software delivery than you might expect.
What 'Done' Really Means: The Definition That Changes Everything
A static Definition of Done produces static results. An evolving one creates productive crises that force teams to improve sustainably.
What Happens After Your Two-Year Agile Transformation (And Why Lasting Change Takes Longer Than You Think)
Two years of agile transformation delivers the structure. Lasting change requires building the capability to keep improving. Here’s the difference.