Claude Skill: A set of guardrails for trusting AI-feedback (synthetic users)

Everyone seems to want to use AI simulated user feedback (AKA synthetic users) because it can accelerate research. However, based on recent academic and rigorous industry research studies, when this feedback is applied to the wrong decisions, it can create feedback loops that distort product metrics, may inflate conversion assumptions, and mislead roadmap cycles. The question to use synthetic vs human feedback is common now, and most product teams don't know where to draw the line. So, they end up either completely trusting AI, or completely dismissing AI. Based on published research studies and expert assessments, I created a framework that helps as a gut-check / rules of thumb to initiate and trust AI feedback loop, and when to bring in real humans. This practice is a lens and reality check for synthetic users feedback within the product design cycle.

Prompt / skill content

Skills at: https://github.com/vivistar/synth/tree/main/.claude/skills
Open Framework and research references: https://synth-5qo9.vercel.app/landing.html

Article: https://vivistar.substack.com/p/when-ai-builds-at-full-speed-who?r=3s8k&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

Where to get it

Read the original resource.