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This is part of a series of articles on activation and making sure users experience and appreciate your product’s value.

In this article, we will discuss what is the “aha moment” and the conditions necessary to achieve it. We will also talk about why “aha moment” and the path to it should differ depending on the problem the user is trying to solve.

As more companies aspire to be data-driven, the role of the data analyst is becoming crucial both to the organization and to product managers themselves. In fact, the World Economic Forum found that the data analyst/scientist role had the most increase in demand in 2020. Clearly these positions are incredibly needed.

What does a data analyst do? A data analyst is responsible for gathering, organizing, and interpreting data to provide business insight. Typically this insight is used to solve an issue, make a decision, or determine performance. Simply put, a data analyst interprets data to drive better business outcomes, which is exactly why product managers must collaborate with them effectively.

Product/market fit is the make-or-break factor for a company. It helps businesses understand whether their product has market appeal and they can dive into the product growth stage with confidence.