Hypothesis testing

A pitfall is that an experiment never really ends and continues unnoticed without necessarily learning from it. A fear for some is that it becomes reality without a decision being made about it. To prevent this, it is useful to agree on a period in which the experiment takes place, giving it a fixed end date and a clear evaluation moment. When designing the experiment, it is important to formulate a hypothesis. A hypothesis describes the expected result. For example: “We will include an Information Analyst in our development team so that we can work together on the desired changes early on through implementation. We expect that this will result in better alignment with what the customer needs and a shorter turnaround time because we work together directly and get it right the first time.” During the evaluation, we test whether this has been achieved and what we have learned from it. This determines how we proceed. The result may have been unsatisfactory, but that is also valuable information to determine what works and what doesn’t and why.

What experiment have you recently started or want to start? Can you formulate a hypothesis for it?