Problems › We Have Too Many Products › Healthcare Providers
Proliferation costs are real, mostly invisible, and land on the products that were paying for everything. This page works through it for healthcare providers specifically — including an unedited excerpt from a real analysis of a healthcare provider.
Proliferation costs are real, mostly invisible, and land on the products that were paying for everything. The version of this question that applies to healthcare providers is not the generic one. Downside risk has been accepted on 38,000 lives without the cost-per-episode data needed to price it — so an answer that ignores cost per episode will be confidently wrong. The analysis has to start from payer mix and panel size rather than from revenue.
Product lines accumulate because each addition is individually justifiable and nothing is ever removed. The cost is not in any one of them; it is in the complexity they collectively impose — inventory, changeovers, support knowledge, sales attention, forecasting error.
That cost is borne disproportionately by the profitable core, because that is where the capacity being fragmented lives. Which is why rationalisation often increases total profit even when the removed lines were nominally contributing.
The analysis worth doing ranks lines by contribution against the constraint they consume, then asks which of the tail exists for a reason — a strategic customer, a channel requirement — and which exists because nobody has looked.
These three together are the signature. One on its own usually points somewhere else.
✓ A minority of lines produces the large majority of revenue
✓ Nothing has been discontinued in several years
✓ Operations complexity is rising faster than volume
The move that usually makes it worse. Cutting the tail by revenue rank alone, which removes lines that were cheap to carry and keeps ones that quietly consume the constraint.
It is for you if you run or finance a healthcare provider and a minority of lines produces the large majority of revenue. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.
It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
Below is an excerpt from a real run of this analysis on a healthcare provider. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.
The subject is Cedar Ridge Health Partners, a sample company profile used for testing rather than a customer — 38,000 attributed lives under value-based contracts.
Excerpt from a real Percision run · Pricing Strategy · sample company profile
The move. Turn 38,000 downside-risk lives into a self-funding 36-month analytics platform via payer co-development.
The leak it closes. Settlement lag (6–9 months) and payer audit adjustments reduced via internal attribution engine
The assumption it rests on. Payer agrees to 5-year exclusivity and 15–25% platform margin split — the engine put the probability at 0.75.
| Investment required | $2.5–3.0M over 18 months |
| Expected return | 7.6–9.1× over three years on $2.5–3.0M investment |
| Revenue, year 1 | $0 (platform build phase) |
| Revenue, year 2 | $6.9–11.4M (first shared-savings settlement) |
| Revenue, year 3 | $13.7–22.8M (full run-rate) |
| Exit criteria | Terminate if payer refuses exclusivity by Month 6 OR if attribution accuracy <80% by Month 18 OR if shared-savings pool < $60M by end of contract year 2 |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Matrix Strategy, one of 29 engagements the platform runs. For healthcare providers it works through cost per episode, payer mix, panel size and contribution per provider, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.
You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.
Contribution per unit of the binding constraint, then a check on strategic dependencies. Revenue rank alone gets this wrong in both directions.
Some will, and the analysis should price that before the decision rather than after. Usually the revenue at risk is smaller than the complexity cost being removed, but it should be a finding rather than an assumption.
It is rarely tracked, which is why it grows. A workable proxy is the trend in operating cost per unit of volume; when that rises while volume rises, complexity is the usual explanation.
Materially, yes. Downside risk has been accepted on 38,000 lives without the cost-per-episode data needed to price it — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are cost per episode, payer mix, panel size, and an answer built on industry-general benchmarks will usually point at the wrong one first.
Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on cost per episode and payer mix. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.
Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
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