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Self-Assessment · ~4 min

The AI Onboarding Audit

Evaluate your AI onboarding experience to accelerate user adoption.

12 clear questions to diagnose the friction points in your setup flow. Any answer that is not a strong yes will surface a clear, executable fix in your final result.

0 of 12 answered

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Expectation setting

Does onboarding accurately communicate what the AI can and cannot do?

  1. The first run names what the AI can do, in concrete tasks the user can act on.
  2. The first run names what the AI cannot do, in plain language.
  3. The first run shows an example of a real output, not a marketing screenshot.
  4. The first run sets a confidence range (e.g. "right about 80% of the time"), not a vague pitch.

Trust scaffolding

Does onboarding build confidence before asking for trust?

  1. The first task the user runs is one the AI can almost certainly do well.
  2. The first time the AI does something irreversible, it asks before acting.
  3. The product surfaces a "show me how" affordance at the moment of first use.
  4. After the user’s first action, the product shows what the AI did and why.

Recovery paths

Does onboarding prepare the user for errors and edge cases?

  1. The user can undo their first AI-driven action with one obvious affordance.
  2. When the AI fails the first time, the product explains the failure rather than hiding it.
  3. The first error state offers a path that does not require retrying the same prompt.
  4. The product surfaces a "stop" or "talk to a human" affordance from the first session.