Full-stack experimentation serves not just marketers but developers and product managers seeking deep insights by comparing fully realized alternatives.
Full-stack experimentation adds missing elements to agile, DevOps, and CI/CD to allow those practices to move from the world of development to the world of data-based product development. It is not only about evolving software faster by putting up new features; rather, full-stack experimentation seeks to fully understand the impact of those features. A fast cycle time is great, but it does not provide the visibility needed in an experiment to assess causality and the why behind an outcome. The missing elements needed to round out a complete approach to experimentation include:
- Support to change and run experiments on substantial elements of the application — not just the UI, but also code that implements features and controls process flows.
- Support for experiments that change code in services implemented in different languages and distributed across containers or other methods of distributed computing.
- Support for collecting and analyzing data from all available sources so that the comprehensive impact of changes and individual features can be measured and incorporated into product and operational metrics.
This white paper examines how businesses can embrace a culture of experimentation and make it part of their product development DNA. The paper will address the following questions:
- Why is full-stack experimentation crucial to sustaining effective innovation?
- What benefits come from full-stack experimentation?
- How can full-stack experimentation be adopted broadly in an affordable manner?
Click here to download the white paper.
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