Different types of products have different Aha moments. We must first determine several important paths in the product according to the positioning of the product; for example, in the core path of facebook, there are adding friends and interacting Whatsapp Database with friends. The specific behaviors are: how many How many friends have Whatsapp Database been added during the day, how many friends have interacted with them, the frequency and number of interactions, etc. These behaviors may become the Aha moment of the product.
We need to roughly list these behaviors that may become the Aha moment, and revise and verify our assumptions based on user research and data feedback until we find the Aha moment. 2) User research User research methods can be divided into questionnaires, user interviews, field visits, focus groups, eye-tracking experiments, usability Whatsapp Database tests, A/B tests, etc.; we need to obtain users' perceptions of the product, and understand the user's operating paths and encounters on the product. , find the points in the product that make Whatsapp Database users happy and unhappy, and these users' cool points are likely to be the Aha moments we are looking for. Of course, we cannot fully trust user research. After all, users may be deceived.
We also need to combine data feedback to draw the final conclusion. 3) Data feedback The data can most intuitively show the user’s Whatsapp Database behavior path and retention situation. From the data, we can see which paths have been experienced, which functions have Whatsapp Database used users with higher retention rates, and which steps in the path have higher churn rates and retention rates. What are the characteristics of higher users; find out the behaviors that can improve user retention through data, and finally determine the Aha moment of the product. 2. Good onboarding When users first enter the product, they don't know anything about the product.