Are Healthcare Providers Underpricing? Using the Kano Model to Find Money Left on the Table

Direct answer: Most healthcare providers underprice not because their rates are low, but because they bundle high-value services with commodity ones and never charge separately for the "delighters" patients would gladly pay for. The Kano Model helps you sort your services into must-haves, performance features, and delighters — revealing where you can raise prices, where you can't, and where an unmonetized delighter is quietly subsidizing your competitors' reputations.

A quick disclosure: I work on content for Percision, an AI strategic-intelligence platform. This article uses the Kano Model as the lens, and I'll be honest about when you need software, a consultant, or just a spreadsheet.

Why healthcare pricing hides money in plain sight

Provider pricing is unusually opaque. Payer contracts, fee schedules, cash-pay rates, and bundled episodes all collide, so leadership rarely sees a clean picture of what a patient — or a payer — actually values. The result is a common pattern: you compete hard on the things patients take for granted and give away the things that actually differentiate you.

The Kano Model, developed by Noriaki Kano, is built exactly for this problem. It separates what you offer into categories based on how satisfaction changes as you invest more:

• Must-be (basic) attributes — expected. Absence causes anger; presence causes nothing. (Clean facility, accurate billing, licensed clinicians.)
• Performance (one-dimensional) attributes — more is better, linearly. Patients notice and will pay for improvement. (Shorter wait times, appointment availability, results turnaround.)
• Attractive (delighter) attributes — unexpected value. Presence delights; absence isn't penalized. (Same-day virtual follow-up, a care coordinator who calls proactively, transparent all-in cash pricing.)

Underpricing usually lives in two places: you over-invest in must-be attributes that no one will pay a premium for, and you under-monetize delighters that patients would happily pay for if you packaged and named them.

A Kano walkthrough for a healthcare provider

Here's a concrete sequence you can run in a planning session.

Step 1 — List your services and service attributes separately. Don't just list "physical therapy." List the attributes that surround it: scheduling speed, evening hours, home exercise app, insurance-handling done for the patient, direct-message access to the therapist. Attributes, not service lines, are where Kano earns its keep.

Step 2 — Ask the paired Kano questions for each attribute. For every attribute, ask a functional and a dysfunctional version:

• Functional: "How do you feel if we offer same-day telehealth follow-up?"
• Dysfunctional: "How do you feel if we do NOT offer it?"

Answer choices run from "I like it" to "I dislike it," with "expect it," "neutral," and "can tolerate it" in between. The combination of the two answers classifies the attribute as must-be, performance, attractive, indifferent, or reverse.

Step 3 — Survey real patients and referrers, not just your leadership team. Clinicians consistently overrate clinical attributes and underrate convenience attributes. Referring physicians value different things (turnaround, communication) than patients (access, cost clarity). Segment your responses.

Step 4 — Map results to pricing decisions.

• Must-be attributes: meet them reliably, but stop over-investing. You cannot charge a premium for table stakes.
• Performance attributes: these justify tiered pricing and premium positioning. If patients pay linearly for shorter waits, a "priority scheduling" tier is defensible.
• Attractive attributes: these are your pricing upside. A named, packaged delighter — "concierge care coordination," "transparent cash-pay bundles" — can command margin because competitors don't offer it and patients don't expect it.

What "good" looks like: you end with a short list of unmonetized delighters, a defensible tiering logic for performance attributes, and a clear list of must-be attributes where you can stop spending without hurting satisfaction. That last one funds the first.

Turning the analysis into a pricing move

Classification is diagnosis; the money comes from execution. Three concrete moves usually follow a Kano exercise:

1. Package delighters into a named tier or membership. Cash-pay and direct-care models especially benefit — you convert a scattered set of nice-to-haves into a sellable product.
2. Reprice performance attributes with a ladder. Standard vs. expedited turnaround, standard vs. extended-access appointments.
3. Reallocate spend away from over-served must-be attributes. This protects margin and often improves the very satisfaction scores you were worried about.

Then pressure-test the financials: what happens to volume if you introduce a premium tier? What's the revenue at risk if you reprice a payer-mix-sensitive service? This is where a Kano diagnosis meets a financial model.

Where Percision fits — and where it doesn't

If you want the Kano diagnosis structured and then connected to a financial and scenario model quickly, this is what Percision is built for. You feed in your business context; it runs a structured reasoning process across frameworks (Kano among 27+), produces board-ready recommendations, and can generate scenario analyses and Excel-exportable financial models with audit trails — in minutes rather than weeks. It's a co-pilot: your leadership stays in control of every pricing decision.

When you don't need it: If you have five services and a strong intuition about your patient base, a spreadsheet and a well-designed survey will get you most of the way. The Kano questionnaire itself is free to run. And if your pricing is dominated by a handful of complex payer contracts, an experienced healthcare pricing consultant who knows your regional payer landscape may matter more than any framework or platform. Percision helps you reason and model faster — it doesn't replace clinical judgment, regulatory review, or payer-specific negotiation expertise.

Honest rule of thumb: use the framework always, use software when speed and repeatability matter, and use a specialist when the constraint is contract-specific or regulatory.

FAQ

Does the Kano Model work for insurance-based providers, or only cash-pay? Both, but the lever differs. Cash-pay providers can reprice directly. Insurance-based providers use Kano to guide service design and where to introduce cash-pay add-ons or premium tiers alongside covered care.

How many patients do I need to survey for reliable Kano results? There's no fixed number, but segment meaningfully — patients vs. referrers, new vs. returning. Directional patterns emerge faster than you'd expect; the goal is decision-quality signal, not academic precision.

Can Kano tell me my exact price? No. It tells you what is worth paying for and in which category. You still need a financial model and market context — payer mix, local competition, elasticity — to set the actual number.

Disclosure: This article was produced by the Percision content team. Percision is one option among several for running this kind of analysis.