What problem does it solve? Product teams often frame features as gains when loss framing would motivate users more strongly, and they risk using manipulative dark patterns without an ethical framework. This Skill provides a structured method for applying loss aversion—the cognitive bias where losses feel roughly twice as strong as equivalent gains—to product design and messaging decisions. ## Core Features & Use Cases - Analysis Framework: A three-step process to identify loss opportunities across the user journey, choose between loss and gain framing, and implement changes ethically. - Output Template: A ready-to-use markdown template for documenting current framing, proposed loss-frame alternatives, ethical checks, and implementation plans. - Real-World Examples: Annotated cases from Duolingo streaks, LinkedIn profile completion, and trial expiration messaging showing concrete loss-frame applications. - Use Case: When designing a trial expiration email, use the framework to convert a weak "Your trial ends tomorrow" message into a specific loss frame listing exactly what the user will lose, then validate it against the ethics checklist. ## Quick Start Ask the AI to analyze your retention email or pricing page using the loss aversion framework and propose an ethical loss-framed alternative.
