The Cummulative Flow Chart That Was Still Telling the Truth
A CTO’s old chart still looked fine to him. What had actually changed wasn’t the chart — it was what it was counting.
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A CTO’s old chart still looked fine to him. What had actually changed wasn’t the chart — it was what it was counting.

She mapped the problem, built the solution, engaged the team. Then nothing moved. Here’s what nobody told her about her organisation.

You tightened AI adoption. Delivery didn’t move. Maybe the lever you pulled was never connected to your organisation’s real constraint.

Your team’s “10x” AI-accelerated capacity isn’t stable — it fluctuates unpredictably. Is your planning accounting for that?

Are AI coding assistants reducing variation in your team — or just making it invisible? The evidence cycle is younger than you think.

Knowing there’s a better way isn’t enough. What stops teams from changing — even when the cost of staying stuck is obvious?

Why do teams cling to broken processes? A UCL study explains more about software delivery than you might expect.

Two years of agile transformation delivers the structure. Lasting change requires building the capability to keep improving. Here’s the difference.

Momentum Lag occurs when framework adoption is treated as destination rather than foundation, causing productivity gains to erode without continued systematic improvement.

Over the past two weeks, I’ve explored patterns that signal agile transformations have plateaued. Week 1 introduc…