Does a verified AI-result third frame improve rescheduling comprehension and qualified acquisition?
- Audience
- Eligible US English iPhone default-page visitors, with research among students, workers and people managing fixed appointments rather than only existing Structured users.
- Control
- The captured connected opening pair and AI-prompt third frame after verifying endorsement and feature-access claims.
- Treatment
- Keep the first two panels together and replace only the third with the current generated result and actual review or apply controls for the same rescheduling request.
- Method
- Verify the entire request-to-result flow, including conflicts and entitlement, before comprehension research and eligible randomized App Store product page optimization. If the required control is absent, revise the concept to the actual behaviour rather than fabricate it.
- Primary measure
- Platform-reported download conversion for eligible randomized visitors.
- Guardrails
- Participants must distinguish a generated proposal from accepted changes and understand treatment of fixed commitments. Do not imply therapeutic benefit, perfect schedules or universal free access.
- Decision rule
- Predefine the useful effect, sample requirement and analysis date from baseline traffic. Keep control if inconclusive or if a lift depends on stronger mistaken automation or calendar-permission expectations.
- What could muddy the result
- Academic terms, operating-system launches, AI changes, purchase offers and the balance of routine-versus-project planning intent may affect results.