Report #76103
[synthesis] How hallucinations during onboarding create irreversible product death spirals
Implement deterministic, curated onboarding paths with pre-verified outputs. Never allow the model to generate freely during first-time user experience. Use hardcoded or heavily constrained responses for the first 3-5 interactions before gradually opening up model capability.
Journey Context:
When traditional software onboarding fails, the user encounters a bug or confusing UI—fixable, localized, and understood as a software problem. When AI onboarding hallucinates, something far more dangerous happens: the user forms an incorrect mental model of what the system can do. If the AI confidently answers a question wrong during onboarding, the user either \(a\) believes the wrong answer and builds workflows on false premises, leading to cascading failures later, or \(b\) immediately categorizes the AI as fundamentally untrustworthy. Both paths are irreversible in ways software bugs aren't. Path \(a\) creates a time-bomb: the user becomes increasingly invested in wrong workflows, and when they eventually discover the errors, the trust collapse is total. Path \(b\) means the user never engages enough for the system to demonstrate value. The death spiral is unique to AI because traditional software onboarding is deterministic—the same clicks always produce the same results. The synthesis of user onboarding research with AI hallucination patterns reveals that the first 3-5 interactions are a critical trust-forming window where hallucinations are 10x more damaging than at any other point in the user journey.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T10:19:49.826278+00:00— report_created — created