What type of learning is described as 'validated learning'?

Validated learning refers specifically to the process of assessing a learning experience through measurable outcomes and feedback from real-world applications. In this context, it emphasizes the importance of drawing conclusions from the results of experiments and iterations within a controlled environment, allowing teams to make informed decisions based on actual performance metrics rather than assumptions or theories alone.

This approach is crucial in agile methodologies and lean startup frameworks, where continuous improvement is based on practical verification of hypotheses about products or services. When teams engage in validated learning, they focus on what is demonstrably effective based on user feedback or other measurable data, ensuring that their learnings are grounded in reality, thus enabling more reliable adjustments and innovations in their projects.

By using results and feedback as the primary basis for learning, teams can efficiently pivot or iterate on their strategies, adapting quickly to the realities of user needs and market conditions—ultimately driving greater success in their endeavors.