A workflow tool for test–treat–re-test care looks obvious until you see what's actually in the way.
There's a Reddit thread from a non-new-grad PT asking, basically, whether they're a bad clinician for not consistently measuring outcomes. It got 27 upvotes and 20 comments of people saying "same." That's not a feature request. That's a professional identity crisis.
That's the real insight behind Test–Treat–Re-Test Coach + Measurement Library. And it's why, when I first read the idea, I thought: this is either genuinely obvious or obviously doomed.
The gap it targets is real. Every PT knows they're supposed to run structured test–treat–re-test workflows. They learned it in school, APTA has been pushing measurement-based care since 2015, and the reimbursement environment is slowly moving in that direction. But in a packed outpatient schedule, between the prior auth calls and the manual documentation, the formal measurement step is the one that gets dropped.
Existing tools don't help. WebPT handles documentation. Rehab My Patient has outcome measure libraries. FOTO gives you population-level reporting. None of them close the in-session loop: pick a test, record a pre-value, treat, record a post-value, and get an instant read on whether the change crossed the minimal detectable change threshold. That specific moment, the moment of real-time clinical decision-making, is genuinely unaddressed.
The business case is modest but legible. About 150,000 licensed outpatient PTs in the US. If 10% are outcomes-motivated and working in settings where they control their own workflow, that's 15,000 people. At $29/month, 3% capture in year three is $156K ARR for a solo bootstrapped product. That's not a venture story. It's a real, sustainable indie SaaS number.
The aha moment the idea describes is also genuinely good product thinking: PT finishes their first session, sees "Improved vs MDC" in green, pastes a one-line note into their EMR in under 15 seconds, and realizes they just documented evidence-based care faster than their old method. That's the kind of first-use experience that actually changes behavior.
Here's the thing I keep coming back to: the product's core enemy is a 40-minute patient visit.
When a PT is mid-session, with a patient on the table and two more in the waiting room, the activation cliff for any new tool is almost vertical. The moment this app introduces one confusing screen, one loading delay, one moment of "wait, how do I get back to the session flow," the PT will revert to their existing habit. Which, for most of them, is either a paper form or skipping measurement entirely. Unlike B2B software where a manager can mandate adoption, this is a solo clinician choosing to change a clinical habit with a real human waiting in the room.
The idea acknowledges this and suggests designing onboarding around a single 90-second first win. That's the right instinct. But instinct isn't enough here. You'd need to obsess over session flow timing the way a payments company obsesses over checkout conversion. One extra tap at the wrong moment kills the product.
The EMR integration problem is structural, not fixable with better UX. Right now, the workflow is: use the app to run the session, generate a one-line note, copy it, paste it into your EMR. That's two documentation steps where there used to be one (or zero, if the PT was skipping measurement). The "companion app" positioning makes early distribution easier because you're not threatening anyone's EMR relationship. But it also makes the product permanently disposable. The day WebPT ships even a mediocre built-in outcomes coaching feature, the friction of switching to it is essentially zero. PTs already live in their EMR. A companion app with no EMR integration is one product update away from irrelevance.
I don't know how to feel about the MDC/MCID content risk. On one hand, it sounds like a solvable problem: hire a clinical advisor, cite your sources, add disclaimers. On the other hand, the PT community is small and credentialed, and a single loud voice on r/physicaltherapy pointing out that your MDC threshold for the PSFS is based on a 2003 study with a 40-person sample could do real damage before you have the trust to survive it. Clinical accuracy in a clinician-buyer market isn't optional polish. It's the foundation.
The burnout angle is the hidden risk nobody talks about. PT burnout post-COVID is high. A tool that faithfully surfaces "Unchanged" results session after session, for patients who aren't responding, might amplify clinical self-doubt more than it builds confidence. The product's honesty could become emotionally aversive. That's a weird churn driver to design around, but it's real.
The "measurement-based care" movement has been a "why now" argument in PT for a decade. APTA has pushed it since 2015. It's still a minority practice. If tooling were the barrier, the problem would have shifted by now. It's possible the real barrier is cognitive load during visits, and no app can solve that.
Every successful PT software company either became the EMR or got acquired by one. There's no durable standalone middle layer in clinical settings. That's not a cynical take, it's just the observable pattern. The companion app approach might be the right MVP strategy while also being the wrong long-term position.
Build it, but not as a standalone product. Build it as a wedge.
The validation test described here is genuinely good: a Google Form that simulates the session flow, posted to r/physicaltherapy with honest framing. Do that first. If five PTs complete it and say they'd pay $29/month, you have enough signal to build a four-week MVP. If they don't, you've saved months.
If you do build it, design the note export around the EMR your first ten customers actually use. Don't make it generic clipboard copy. If half your beta users are on WebPT, figure out if WebPT has any API surface, even a basic one, and build for that. The "works with any EMR" positioning is honest but fragile.
Get a clinical advisor before you ship the test library. Not as a credibility signal in your marketing. As a genuine check on the MDC values. Pay them. It's cheaper than rebuilding trust after a public callout.
And think hard about the burnout problem before you design the interpretation layer. "Unchanged vs MDC" is accurate. It might also be demoralizing at scale. There's probably a framing that's honest without being punishing, but you have to find it.
The data moat argument is real, eventually. After 50,000 sessions you have something EMRs genuinely can't replicate. But "eventually" is doing a lot of work in that sentence. You need to survive long enough for the data to matter, which means surviving the EMR commoditization window and the activation cliff and the content credibility risk all at once.
This is a 7/10 idea for a reason. It's not a moonshot. It's a focused, buildable tool with a real wedge and a modest but real market. The risks are structural, not imaginary. Whether it's worth building depends entirely on whether you can get into the room with ten PTs and watch them use it. That's the only thing that resolves the behavior-change question, and you can't think your way to the answer.