What frameworks or methodologies do you find most effective for prioritizing product features?

During my final year at university, I worked on a capstone project where we had to develop a mobile application for a local non-profit. We conducted user surveys to gather feature requests but quickly realized we had limited time and resources. To prioritize, we used the MoSCoW framework, categorizing features into Must-haves, Should-haves, Could-haves, and Won't-haves. This helped our team focus on essential features that would deliver the most value to users while still allowing for a few enhancements. As a result, we launched the app on schedule and received positive feedback from the non-profit, who appreciated the targeted functionalities we delivered.

In my role as a volunteer coordinator for a university club, I often had to prioritize various event features with limited resources. For our big annual event, we used a simple priority matrix to evaluate each potential feature based on impact and effort. We listed out all the activities we wanted to include and assessed them together with the team. This method allowed us to focus on high-impact activities like guest speakers and workshops while postponing less critical features, such as swag bags. Ultimately, the event was a success, attracting a larger audience than previous years, which boosted our club's visibility and engagement.

In my first job as a product assistant, I was part of a team launching a new feature for our software product. We utilized the RICE scoring model, which stands for Reach, Impact, Confidence, and Effort, to evaluate each proposed feature. My role involved researching user feedback and estimating the potential reach of each feature. By presenting our findings to the product manager, we were able to prioritize features that would most benefit our users and align with our business objectives. This experience taught me the importance of data-driven decision-making and how effective prioritization can significantly influence product success.