Does a single drink-to-goal example improve understanding of WaterMinder’s tracking?
- Audience
- US English iPhone visitors seeking drink logging or reminders, with Watch owners and non-owners analysed separately.
- Control
- The captured sequence after misleading measurement language is corrected consistently across variants.
- Treatment
- Replace only frame two with one actual drink entry and resulting logged total against a user-selected goal. Keep reminder and history frames, metadata and offer fixed.
- Method
- Verify units, drink contribution, correction flow and device behaviour first. Run randomized comprehension research and eligible App Store product page optimization.
- Primary measure
- Correct understanding of recorded intake versus the chosen goal; platform-reported download conversion in the storefront test.
- Guardrails
- No increase in belief that the graphic measures the body, supplies an individual medical prescription or requires everyone to drink more. Verify trial and paid access before displaying advanced features.
- Decision rule
- Define a useful comprehension effect and sample requirement from baseline research. Reject a variant that increases medical misunderstanding even if downloads improve; retain control if inconclusive.
- What could muddy the result
- Device ownership, unit preference, notification settings, trial eligibility, seasonal weather and existing tracking habits can affect response.