Hypothesis-Driven Development (HDD) is a method of product creation that centres around the concept of using a hypothesis to guide development. It’s a three-step process that starts with defining a hypothesis, which is a clearly articulated statement of what you believe will happen. This hypothesis is then tested through experiments, and the results are used to learn and adapt the product based on real-world feedback.
HDD is a shift from the traditional approach of product development, which typically involves producing a product based on a set of assumptions and only then testing its success in the market. The advantage of HDD is that it allows for continuous learning and adaptation, reducing the risk of failure and waste.
To implement HDD, one must first define a clear, testable hypothesis. This should be a prediction that can be proven or disproven through experimentation. The hypothesis should be specific, measurable, achievable, relevant, and time-bound (SMART).
Next, you must design an experiment to test your hypothesis. This could be a prototype, a minimum viable product (MVP), or a simple test to gather data. The goal is to learn as much as possible with the least amount of effort.
Lastly, you must measure the results of your experiment and use the data to learn and adapt. If the hypothesis is proven, the product can be scaled. If it’s disproven, the product should be adapted based on what was learned.
In conclusion, HDD is a process that encourages learning and adaptation, reducing the risk of failure and waste in product development.
Go to source article: https://barryoreilly.com/2013/10/21/how-to-implement-hypothesis-driven-development/