Acceptance Criteria are an effective way to bake quality into User Stories and Features by asking ourselves “how this is going to actually behave?”. But it takes time to create good acceptance criteria, and therefore it is often not done in a way which extracts all of its potential value, or skipped altogether.
During the last few years, we have seen that nearly all technology based products and services must learn to leverage AI in order to compete effectively in the marketplace. We recommend adopting Lean/Agile principles and practices for this purpose. In this manner, organizations can continuously improve time to market and realize exceptional value early and often. In this post we’ll describe the top challenges that we see in the field as well as tips and tricks for applying Agile to get the best of AI. These are all patterns that we’ve applied successfully at AgileSparks in our work with a diverse set of clients. What are the top challenges that we’ve seen in the field regarding AI in the organization?
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