Does replacing the statistics frame with a schedule example improve understanding of flexible habits?
- Audience
- US English iPhone prospects seeking a personal habit tracker, with prior Streaks users separated from newcomers.
- Control
- The captured dashboard, statistics and note-editor sequence with current task limits verified.
- Treatment
- Replace only frame two with the actual schedule for one habit already visible in frame one. Keep the other frames, price and metadata fixed.
- Method
- Verify frequency rules and persistence first. Run randomized store-sized comprehension research; use a paid-download storefront experiment only after confirming platform eligibility.
- Primary measure
- Correct understanding of a non-daily schedule and what counts toward that habit; paid conversion only in an eligible randomized store test.
- Guardrails
- No belief that all tasks are automatic, habits are unlimited or tracking guarantees health outcomes. Check the perceived ease of the dashboard alongside schedule clarity.
- Decision rule
- Predefine a useful comprehension effect and required sample from baseline data. Keep control if inconclusive or if scheduling detail makes the core task harder to understand.
- What could muddy the result
- Existing habit systems, Watch ownership, selected habit type, seasonal resolutions and paid-app promotions can affect response.