The program is organized around academic research followed by extensive hands-on work on fictive cases or the participant’s own company. All theory and material is extensively illustrated with industrial cases and real-world experience.
Day 1 AM:
Trends, Digitalization and Techniques. We discuss trends in the software intensive industry as well as digitalization and present a set of techniques to act on these. Also, the case used throughout the course is introduced.
Day 1 PM:
Speed Dimension. We present and work with techniques to get software out to market faster and to shorten feedback loops between R&D and customers. We cover and work with topics such as continuous integration & deployment, architecture management and organizing for speed.
Day 2 AM:
Data Dimension. We discuss how to make effective use of all the available data and focus on strategies for collecting and using the data you need for increasing the effectiveness of R&D. We work with data-driven and evidence-based development, the HYPEX model, value modeling and combining qualitative and quantitative data.
Day 2 PM:
Ecosystem Dimension. No company is an island and strategic engagement with and use of the available ecosystems is of critical importance to long term success. In this session, we work with the Three Layer Product Model, strategies for ecosystem engagement, hypothesis testing for value exchange between ecosystem partners as well as understanding evolving structures in industry.