Abstract: Come learn how you can use the concepts of Minimum Viable Products (MVPs) and build-measure-learn feedback loops to focus your team’s continuous improvement efforts. Popularized by Lean Startup, an MVP is a version of a new product that uses the least amount of effort to gather a maximum amount of validated learning that can help with decisions about further investment. You’ll have a chance to establish continuous improvement backlog along with a tailored continuous improvement MVP that can potentially take your team from being “somewhat agile” to “agile with continuous deployment.”
This workshop begins with a quick overview of Lean Startup concepts and introduces the case study team that serves as the example referenced after each hands-on activity. Working as part of a small group, you will focus on a “Think Big, Start Small” strategy. You will establish a tailored full continuous deployment pipeline, identify desirable principles and practices for the different stages of the pipeline and identify the tooling required to support targeted practices. From there, you will create a rank-ordered backlog and establish an MVP. We will discuss setting up your Build-Measure-Learn loop, establishing your “value hypothesis,” defining your approach for baselining and measuring your experiment and, given examples, formulating decisions as to whether to “pivot or persevere.”
Learning Outcomes: - Establish a "to be" state for a continuous delivery pipeline, including stages, principles and practices and technology and tooling
- Create a rank-ordered continuous improvement backlog that can take your team from agile to continuous deployment
- Select a Minimum Viable Product from a rank-ordered continuous improvement backlog
- Baseline and measure improvements that serve as the MVP for your continuous improvement backlog
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