Feature Prioritization: Methods, Frameworks, and Best Practices

Feature prioritization is crucial for product managers when creating a new product or updating an existing one. Several strategies can be used to prioritize features, including the MoSCoW method, RICE score, Impact vs Effort matrix, Priority Scorecard, and Opportunity Scoring. The Kano Model classifies customer preferences into categories such as threshold attributes, performance attributes, excitement attributes, indifferent attributes, and reverse attributes. Product analysis is also essential for understanding the target audience's primary needs and prioritizing features accordingly. Effective communication within the product team and with customers can help in making informed decisions about feature prioritization.