Work / Carefully
From a booking app to trust infrastructure.
Phase 1 proved patients wanted Carefully. It also proved I had built the wrong product. Carefully was a booking app, but the value lived in the trust layer that comes before booking. Phase 2 rebuilds it as trust infrastructure and tests one question: do structured trust signals change which provider a patient picks, or only how they feel?
The problem
Millions of patients with chronic pain delay or avoid care because they cannot find providers who will take them seriously. A 4.6-star average says nothing about whether you will be interrupted, rushed, or dismissed.
Carefully surfaces the pattern instead of the score, so the people most likely to be dismissed can see it coming.
Built for patients with chronic pain, and bias-aware providersWho it's for
In despair over finding a provider who fits their needs. In constant pain, and powerless to change it.
They can see how a provider actually treats patients before they book, walk in with their concerns already organized, and finally feel heard and in control.
Demoralized by defensive, distrustful encounters, with their relational skill going unseen and their idealism wearing thin.
Patients arrive pre-matched and prepared, so visits start from trust instead of suspicion, and the relational work that drew them to medicine is what gets them chosen.
The pivot
Phase 1 testing (n=6, SUS 81.5) showed the trust idea landed, and exposed three failures: dead navigation, low-fidelity visuals that cost credibility, and too few real options. The fix was not a polish pass. Carefully stopped being a booking app and became a layer patients use before they book elsewhere.
The build
Behavioral patterns like "listens well" and "rushed visits noted" replace stars, so patients know what to expect before they book.
Patients log their concerns and get a clinically legible summary plus questions to ask, so they walk in prepared, not surprised.
A private care record that, with per-entry opt-in, feeds the trust layer, turning one patient's experience into the next patient's signal.
The demo
The test
Phase 1 asked whether people liked the idea. Phase 2 asks whether it changes how they choose. A randomized, unmoderated A/B study (n=30, standard listing versus trust-signal listing) measures whether patients switch providers when the signals appear, not just how they feel about them.
The behavioral results come next. If you have ever felt dismissed at a doctor's visit and want to help shape this, I am recruiting Philadelphia-area participants.