Consumer Wearable Data Second Opinion Service

Wearables making algorithmic health claims (AFib detection, temperature alerts, stress levels). Consumers cannot independently evaluate whether the algorithm is accurate for their specific body. Wearable companies earn revenue from device trust — cannot honestly say their algorithm is wrong.

Consumer app taking raw wearable data and providing independent second opinion on health insights. If Apple Watch says HRV is concerning, independently analyze whether it is concerning for this consumer's age, activity level, and baseline.

WHO: Health-anxious wearable user who received alarming notification. CURRENT: Googles notification, reads Reddit, calls doctor who may not understand wearable data. WHY-SURPRISED: Second opinions exist for every health modality except wearable algorithm outputs.

G009 accuracy cliff: if second opinion says AFib alert is false positive but consumer actually has AFib, liability is massive. Requires FDA medical device clearance.

Wellness pivot: data context tool — demographic benchmarking without medical claims. Pure data comparison — your HRV is at 62nd percentile for your age and activity level.

KILLED — accuracy cliff plus FDA medical device burden. Wellness pivot killed by feature absorption: Oura shows percentiles natively, Apple shows trends. Without medical claims, the product is already provided by wearable apps.