Sifting through hundreds of raw playtest comments to update your design doc and bug tracker is a soul-crushing time sink. It steals precious hours from development and crucial insights get lost in the noise. What if you could automate this drudgery? One Key Principle: The Categorize-Then-Prioritize Framework The core of effective automation isn't one magic prompt; it's a two-stage framework. First, you classify raw feedback into clear buckets. Second, you score it based on impact. This transforms chaotic comments into a structured, actionable queue. Categorize: Train an AI model to sort feedback into primary types like Bug Report , Feature Request , Balance Feedback , Aesthetic Feedback , or Performance . This is your essential first filter. Prioritize: Next, run the categorized items through a second AI process to score them. Build a simple prioritization matrix using axes like "Player Impact" (game-breaking vs. minor annoyance) and "Frequency" (how many reports mention it).…