From the course: Learning Digital Business Analysis
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Experiments and hypothesis
From the course: Learning Digital Business Analysis
Experiments and hypothesis
- Remember in high school science class when you had to form hypotheses and conduct experiments to learn, today customer demands are moving us to learn quickly to create complex and innovative technology and learning is no different, we need to experiment. With many digital transformation capabilities, there's an increased complexity and uncertainty. It requires the minds of the entire team to solve. Exact solutions and answers are not known up front and this requires us to work with experiments and hypotheses. Even with agile approaches when we use user stories, we often fall short of creating meaningful learnings. It takes more to get to desired outcomes and to determine the indicators that will tell us we're on track to get to these outcomes. This is why experiments and hypotheses are so important, they help us learn while developing. Let's look at an example. A call center is working to make the caller's experience better and the team has the following hypothesis. "We believe that…
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