In agile, everything we do is an experiment. Product development is no different. We think we know what the customer wants, and the customer thinks they know what they want, but it turns out we're all wrong! To get to validated discoveries about our features, we must understand how to write a better hypothesis for our development experiments. This session focuses on challenging the mindset that we are validating options during our experiments. Natalie Warnert will show you how to eliminate options that don't work with data and feedback by looking at your product hypotheses as tests that cannot be proven. This way of testing your product design preserves options and helps to eliminate choosing the wrong thing because of your confirmation and customer biases. Natalie will present key metrics you can use to help guide your experiments and practical ways to look at your ideas as something to test, rather than validate. You will walk away with an understanding of what it means to value learning over output and how that shift can significantly improve your ability to delight customers with valuable software.