Hypothesis-driven development is thinking about the development of new ideas, products and services - even organisational change - as a series of experiments to determine whether an expected outcome will be achieved, so we need to know how to design and run experiments properly.

This session helps participants understand the importance of using experiments to help teams and organisations learn and improve, while giving hands-on practice in designing experiments to yield measurable evidence for that learning.

Agile Transformations are often treated as projects, with grand plans to implement new ways of working, with ambitious deadlines.

This approach assumes that the result of an Agile Transformation can be knowable in advance and that all the information and expertise is already in place.

However, an organisational transformation is a process of knowledge discovery and learning, where we need to make small changes, sense and respond.

Thus rather than looking into the future to make our plans, we should look to the present, understand the current situation and explore adjacent possibilities.

Concepts covered will include: 

• Cynefin
• Wardley Mapping
• Directed Opportunism
• Backbriefing
• Catchball
• Agendashift
• Katas and OKRs

What does it mean for an agile team to be predictable? How could you tell how predictable an agile team is or whether they are becoming more or less predictable? Is improving predictability even desirable for an agile team? This talk will explore these questions and more and introduce some different ways of answering them. Attendees will go away with some new approaches and techniques that they might use as part of an agile transformation to assess how successful they are being.

This talk will be based on, and expand on this blog post: https://availagility.co.uk/2021/12/24/how-to-measure-the-predictability-of-agile/