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Data Driven Decision Making

As a product owner targeting recruiters and hiring managers, I implemented user feedback collection and data-driven decision-making to develop an effective website that showcases my team's Scrum expertise.

To collect user feedback, I actively sought surveys, interviews, and user testing sessions. Surveys provided insights into opinions, preferences, and pain points, while interviews allowed for in-depth conversations and a deeper understanding of needs. User testing sessions facilitated real-time feedback on our prototypes over our 3 sprints and identifed usability issues and uncovered new feature requests. We then utilized that feedback data and Google Analytics to guide our understanding of user behavior.

The qualitative feedback from surveys, recruiter interviews, and stakeholders was analyzed to identify recurring themes, pain points, and quality items related to proving if our team was capable of operating in a Nexus Scrum enviornment. This analysis informed prioritization of improvements, to make sure we were actually achieving our goal of becoming more marketable through the content of the website. The insights gained from data-driven decision-making were implemented through iterative improvements over our 3 sprints, such as optimizing user flows, redesigning pages based on preferences, and refining messaging.

By combining user feedback collection with data-driven decision-making, we created a user-centric website that addressed the needs and expectations of recruiters and hiring managers.


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