Monthly Archives: September 2022

Intelligent Backlogs revisited again (6) – Use of AI

So, to finish off this series of posts revisiting the idea of Intelligent Backlogs lets think about how AI can help us. My original post from 2019 (see here) concentrated on two aspects i) Intelligent interventions ii) Spot trends in data Remember that in this revisit we’re taking into account the idea that what we’re […]

Intelligent Backlogs revisited again! (5) – Making sure we have the right level of detail

Looking at this from a feature/flow perspective I think there’s only really one point to make here! We want features to be a manageable size so they flow and doing this should mean that our stories and defects contained with the feature should be sufficiently defined – the one point is that where we’re unsure […]

Intelligent Backlogs – revisited again! (4) – managing and tracking dependencies

Back in 2019 I wrote this – “Managing and tracking dependencies is another key aspect that an Intelligent Backlog should be able to help with. If there are several stories that are linked via a dependency then this should be made clearly visible and taken into account whenever the priorities of the stories is being assessed. The […]