Raphael has been a guest on our regular show, and in those episodes, we approached the topic of Agile applied to Business Intelligence projects. In this episode, we dive deeper into the concepts and ideas that Raphael mentioned earlier, and we learn how Business Intelligence projects can be delivered incrementally, and in an agile manner.
Slicing User Stories to enable incremental delivery
We start this episode with a practice that is critical for Agile teams: how to slice User Stories to enable the delivery of incremental value to customers. We discuss several strategies that Raphael uses to be able to deliver valuable functionality even in the first week of a project.
Taking into account that usually, BI projects are executed by larger, and more traditional firms, his approach brings clarity and ensures that the team and the customer are able to evaluate the product from the first week. This practice is critical in collecting feedback from customers early on and avoiding producing products (dashboards, in this case) that no one will use.
In this segment, we refer to a blog post by Raphael where he describes his User Story slicing approach in more detail.
#NoEstimates in BI projects
One of the inspirations for Raphael’s work on slicing User Stories was the #NoEstimates book and a few conversations that he and Vasco Duarte had in the early stages of Agile adoption at IT-LOGIX, Raphael’s company.
In Raphael’s perspective, the focus should shift from “sizing” stories to understanding what might be a good experience for the customer: customer delight; and then validating those assumptions directly with customers by delivering possible solutions very early on.
As a way to apply #NoEstimates, Raphael started to apply the concept of “timebox” (limited time) to each of the User Stories being developed. His own rule is that a User Story should be developed within 1 or 2 days at the most, which pushes the teams to focus on what is critical to provide value to the customer.
Timeboxing User Stories to validate assumptions
In this episode, we also explore how Raphael came to the realization that User Stories need to be timeboxed, rather than estimated. He shares a story of a project where the team produced a dashboard that did not get used by the customer (they had metrics). That was a transformative point in Raphael’s approach, leading him to focus on early and often delivery. Which led to the #NoEstimates heuristic that a User Story should be given a timebox.
In this segment, we refer to the episode about a team that Runtastic that is using #NoEstimates, and how that has helped the team focus, and provide value faster.
About Raphael Branger
Raphael Branger is a Certified Disciplined Agile Practitioner and a pioneer in adapting agile methods in the context of data and analytics projects. He works as a Principal Consultant Data & Analytics at IT-Logix in Switzerland with more than seventeen years of experience in business intelligence and data warehousing.