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1. What is your primary goal for using Wellround?
(e.g., Improve fitness, reduce stress, sleep better, maintain general health)
We should offer a multi-select format or a ranking system. Users could select and rank multiple goals, such as weight management, mental well-being, sleep improvement, etc. This could help the AI prioritize recommendations aligned with nuanced user aspirations.
2. How often do you engage in physical activity each week?
(Options: 0-1 times, 2-3 times, 4-5 times, 6+ times)
We could add context by specifying intensity. For instance, “How often do you engage in moderate to intense physical activity (e.g., brisk walking, running, strength training)?” would provide a better baseline of fitness.
3. What type of exercise or physical activity do you prefer?
(e.g., Cardiovascular, strength training, flexibility, balance-focused)
Knowing exercise preferences enables the AI to recommend activities users are likely to maintain, improving engagement.
4. Do you experience any chronic health issues or limitations?
(e.g., Back pain, heart condition, asthma, diabetes, or other conditions, also no current health issues)
Health limitations inform personalized adjustments in intensity and type of recommended activities.
5. On average, how many hours of sleep do you get each night?
(Options: Less than 5 hours, 5-6 hours, 6-7 hours, 7-8 hours, 8+ hours)
6. How would you describe your current diet?
(Options: Very balanced, moderately balanced, needs improvement, unsure)
7. What is your current stress level?
(Scale: Low, Moderate, High)
8. How often do you feel fatigued or low on energy?
(Options: Rarely, Sometimes, Often, Always)
9. Do you prefer daily check-ins, weekly summaries, or monthly progress updates?
This helps the app tailor feedback frequency to user preferences, keeping them engaged.
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