Privacy Review for Health Apps

This is for founders with a live or near-launch health app who need a hard look at where the product collects too much, assumes too much, or quietly routes intimate user data through the wrong systems.

Plain-English privacy review for health and health-adjacent apps before risky defaults, hidden collection, or trust-breaking flows reach users.

Get a 3-point risk read See service packages Inspect the PainTracker health workflow case study

Quick fit check

Paste the product URL and the one thing that feels risky.

That is enough for a first pass. I will tell you whether this looks like a teardown, a full review, or not a fit.

I reply with fit, the smallest useful starting point, and whether this looks like a teardown, full review, or fix sprint.

What usually triggers this review

• Health-adjacent data is being stored or transmitted by default without a clear reason.
• Core workflows depend on sign-up, centralization, or background sync even when they should not.
• Privacy language sounds safer than the actual product behavior.
• The team needs a concrete fix order before launch, not a vague policy rewrite.

What the review includes

• A plain-English read of what the product collects, stores, and assumes in the background.
• The high-risk defaults most likely to create launch friction or user distrust.
• Boundary and minimization corrections worth shipping first.
• A recommendation on whether the right next step is a teardown, full review, or fix sprint.

Best fit

• Health, wellness, disability, care coordination, or case-management products.
• Teams close to launch or already live with sensitive workflow exposure.
• Founders who want to reduce collection instead of decorating it.

Inspection path

Inspect the PainTracker health workflow case study Open the PainTracker architecture artifact Send your product URL for a fit check