Run experiments to address complex challenges, so that you learn how to move closer to where you want to be.
Essential patterns to help you achieve this:
- Describe Organizational Drivers – Building a shared mental model of the situation you want to address, is essential for successfully designing, running and later on, evaluating experiments.
- Clarify Intended Outcome – A clear description of the intended outcome of an experiment is essential for understanding whether or not an experiment produced the intended result.
- Evaluation Criteria – Defining clear criteria for determining success before the start of an experiment, helps to reveal flaws in its design and supports effective evaluation of outcomes.
- Consent Decision Making – An effective group process for viewing a proposition from a diversity of perspectives and testing whether or not an experiment is good enough and safe enough to run.
- Evaluate and Evolve Agreements – An experiment needs to be regularly reviewed to determine what outcomes it achieves, and as a consequence, potentially adapted or even stopped.
- Limit Work in Progress – Limit the number of concurrent experiments to avoid overwhelm and maintain a steady flow of value.
- Create A Pull-System for Organizational Change – Inviting and enabling people to run experiments when they discover organizational needs allows for effective and decentralized adaption of the organization.