AI prompt pack analyzing downstream consequences of feature additions. Predictive modeling for technical debt, support costs, UI complexity, and maintenance burdens.

Key Benefits:

• Quantify hidden maintenance costs that represent 80-90% of a feature's lifetime expense

• Predict support ticket creation with accuracy based on complexity and user behavior models

• Calculate UI complexity increases and cognitive load impacts before implementation

• Model technical debt accumulation with compounding interest calculations

• Develop feature sunsetting strategies and removal cost analyses upfront

• Create comparative frameworks for evaluating multiple feature options objectively

Requirements: Access to an advanced AI platform (Claude 3.5 Sonnet, GPT-4,or similar)

Tags: product management, software development, UX strategy, tech debt, SaaS roadmap, feature prioritization, technical debt, support operations, user experience, product strategy, agile development, software architecture, product roadmap, feature evaluation