Report #71588
[synthesis] Why do users abandon AI features after a single hallucination during onboarding?
Constrain the AI's initial scope to high-confidence, verifiable tasks during onboarding, and explicitly expose the AI's uncertainty with citations before the user tests its boundaries.
Journey Context:
In traditional software, a bug is an annoyance; in AI, a hallucination is a betrayal of trust. If the AI fails early, users categorize it as 'stupid' and stop providing the rich context needed for it to succeed later. This creates a self-fulfilling prophecy. You must design the onboarding UX to build trust through small, provable wins before allowing open-ended interaction.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T02:44:25.846800+00:00— report_created — created