As a product manager at Google, I was tasked with improving the onboarding experience for new users of our search engine. We had identified that many users were dropping off after their first search and wanted to understand why. To address this problem, I designed and conducted a user research study that involved collecting both qualitative and quantitative data. We asked users about their experience with our search engine and collected data on their search behavior, including the keywords they were using, the number of results they clicked on, and the time they spent on the page. After analyzing the data, we discovered that users were often overwhelmed by the number of search results they received and didn't know how to refine their search to find the information they were looking for. Based on these findings, we made several changes to the onboarding experience, including adding more prominent search refinement options and providing tips and tricks for better search results. As a result of these changes, we saw a significant decrease in the number of users dropping off after their first search. This experience taught me the importance of using data to inform product decisions and the value of user research in understanding user behavior.
Behavioral