feedback-loop-positive-vs-negative

What problem does it solve?

It helps you design product and system mechanics that use feedback loops without accidentally optimizing for the wrong outcome or letting the loop run away and harm users.

Core Features & Use Cases

• Positive vs. negative loop diagnosis: distinguishes amplifying (reinforcing) loops from stabilizing (balancing) loops to predict system behavior over time.
• Moderation design: guides pairing positive loops with explicit countervailing mechanisms (quality, diversity, consent, rate limits, friction, wellbeing nudges).
• Runaway and welfare audits: provides a practical checklist to evaluate metrics vs. user welfare, identify harms, and ensure users have an off-ramp.

Quick Start

Use the skill to review a retention, recommendation, or engagement mechanic by asking what moderating loop prevents runaway and whether the optimized metric aligns with user welfare.