# Product Testing Use Cases | 100 Users Official Website

100 Users applies one evidence model across shopping journeys, pricing decisions, SaaS onboarding, loyalty enrollment, lifecycle email, bookings, merchant activation, subscriptions, media discovery, and seasonal retail. Each use case begins with a real artifact or public product surface, a defined audience, a task, and a success event. Synthetic personas and autonomous agents interact with the experience while comments, clicks, attention changes, abandonments, and screenshots remain attached to their original locations. The system then separates strengths, objections, areas for improvement, and recommended interventions. Important findings can progress into implementation tasks and matched before-and-after retests. Modeled lift remains explicitly labeled until production analytics or independently reviewed evidence supports it. This lets teams explore how 100 Users works without confusing a demonstration with a live customer study, and it makes every use case answer the same practical question: what should the product team change next?