Strategic Services Team

Capabilities/User Goals This seems to be the most obvious approach to story splitting. If you’re just starting out with a vision or big ideas, then you need to figure out a way to make them smaller and more approachable so you can further decompose them into user stories that can be completed within a sprint. What …

Agile User Story Splitting: Capabilities / User Goals & Workflow Steps Read More »

What Makes a Good User Story? The most common checklist that is applied to identify a GOOD user story was coined by Bill Wake, and it is the acronym INVEST. It stands for: I – independentN – negotiableV – valuableE- estimableS – smallT – testable Let me briefly explain each of these, and how it relates to the …

How to Identify Good and Bad Agile User Stories Read More »

Story splitting is one of the most deceptively difficult skills to master in agile. It sounds so easy, “Let’s just a break a big story part into smaller pieces.” But as easy as it sounds, I struggled with it when I first transitioned to agile. I have since seen many other teams and individuals struggle with the …

What are Agile User Stories and Why Should You Split Them? Read More »

I've seen teams struggle with how to manage work when transitioning to agile. But if your team can address these pain points, you will succeed early and often.

As a BA, I see how everyone in an organization handles agile transformation, including the unique challenges faced by leaders that impact their direct reports.

Process modeling is very flexible, can help you better understand current processes, and can help you document desired future states of processes.

Metrics and KPIs are among the primary techniques for anything related to BI. If you can measure it, you can report on it. The key is picking the right ones.

As it applies to Business Intelligence, decision modeling can be used to build out the repeatable decision logic for what to show on reports and dashboards.

Data modeling discovers your scope, identifies gaps, and is easily understood. But it doesn’t dig into the details so it must be supplemented with other models.

Data dictionaries are great tools for any data project, but they must be maintained to continue being useful. Here's how to get the most out of them.