Yuvraj’s approach
Identify key user needs for people with CFS: Energy management: users must be cautious about their pace to avoid post exertion fatigue. Activity intensity: Low intensity and flexible exercises Symptom awareness: Ability to log fatigue levels, sleep quality. Personalisation: Recommendations based on daily energy levels.
Propose one MVP feature: Energy checkin + adaptive recommendations- a simple daily prompt asking users to rate their energy levels from a scale of 1-5. Based on input the app suggests gently activities like stretching, breathing, short walks or other recommendations. One engineer can build a checkin flow and rule based activity suggestions in 2 weeks.
Justify your choice considering the constraint: High impact: Directly address energy levels= the most critical need for CFS users. Low complexity: Simple UI- daily checkin cards + rule engine ( if energy low-> rest suggestions, etc) Scalable: Can later expand into richer symptom tracking or AI driven personalisation. Engagement driver: Keeps user returning daily without overwhelming them.
Explain metrics to evaluate success: Daily checkin completion rate, % of activity completed, MAU among CFS segment, CSAT