Brief · Use case · Brand & Marketing
Launch Uptake Shortfall Diagnosis.
LiveDiagnosisFind out why a launch is behind its uptake forecast: access, awareness, patient identification or the forecast itself.
Launch Uptake Shortfall Diagnosis is a ready-made use case for Brand & Marketing. It ships under the Diagnosis template.
For brand and commercial leads two quarters into a launch. You get the shortfall by segment and channel, explanations weighed against the evidence including whether the forecast was sound, the likely cause with a confidence level and what to rule out. Claims are cited or marked as gaps.
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The decision
Why is a newly launched specialty medicine running well below its uptake forecast two quarters after launch: payer access, prescriber awareness, patient identification, or the forecast itself?
The explanations weighed
The diagnosis restates the shortfall by segment and channel first: patients, prescribers and regions, against the forecast and against the access timeline.
| Explanation | What it would look like | What would confirm or refute it |
|---|---|---|
| Payer access | Patients cannot get the product reimbursed on the timeline the forecast assumed. The EFPIA Patients W.A.I.T. Indicator measures the days from marketing authorization to availability, which for most countries means listing for reimbursement, and shows large differences between countries.1 | Confirmed by listing dates and restrictions that explain the shortfall by region. Refuted if the shortfall is the same where access is open. |
| Prescriber awareness | Prescribers who could use the product do not yet know of it or do not trust it. | Confirmed by prescriber survey or call data showing low awareness. Refuted if awareness is high and prescribing is still low. |
| Patient identification | Eligible patients are not being found, for example because diagnosis is late or testing is not routine. | Confirmed by data on diagnosis and testing in the eligible population. Refuted if identified patients are not starting. |
| The forecast itself | The forecast assumed a faster ramp than a comparable launch achieved. A forecast is a model with assumptions, and its error can be measured.2 | Confirmed by comparison with the ramp of analogous launches and by an error analysis of the forecast. Refuted if the forecast matches comparable launches. |
What the diagnosis does
Access is not the same as approval. The W.A.I.T. Indicator measures time to availability from marketing authorization, and for most countries availability means reimbursement listing. The diagnosis separates the date a product could be prescribed from the date it could be reimbursed, by region.1
The forecast is a suspect too. A shortfall is measured against a forecast, so a wrong forecast produces a shortfall with nothing wrong in the market. The diagnosis checks the forecast’s assumptions and compares its ramp with analogous launches.2
Segments tell causes apart. An access problem varies by region, an awareness problem by prescriber type, and an identification problem by diagnosis pathway. The diagnosis cuts the shortfall by each and says which cut separates the explanations.
How it could be wrong. The likely cause rests on an assumption, such as that the data by segment are complete. The diagnosis names it and the check that would break it.
Recommended length
Comprehensive
The question asks you to weigh at least three explanations. The matrix that does that, and the Pareto view of where the effect sits, are in the Comprehensive length. Standard names a cause without the side-by-side.
You can pick another length on the form. The other two stay available.
Assumptions the diagnosis checks
The diagnosis states the assumptions its likely cause rests on and sets what would break each one. Examples for this problem:
- Sales and prescription data are available by region and by prescriber type.
- The forecast and its assumptions are on file and not reconstructed.
- The analogous launches used for comparison match the product’s indication and price.
Standards, guidance and sources
Access
- EFPIA Patients W.A.I.T. Indicator: days from marketing authorization to availability, by country.1
Forecast error
- Forecasting: Principles and Practice (Hyndman and Athanasopoulos), on measuring and comparing forecast accuracy.2
The decision practice behind the memo itself is on the template page.
What gets flagged
Any segment whose data are missing, any assumption in the forecast the company cannot document, and any region where access dates are unknown.
What arrives
- The problem as stated
- What is actually happening
- Competing explanations
- The likely cause
- What would confirm it
- Where the effect concentrates
- What to rule out
What it will not do
It does not decide what to do about the cause. A Decision Memo takes the diagnosis as its starting point.
It does not revise the forecast or the launch plan.
It does not prove the cause. It names the most likely cause, says how sure it is, and says what would show it to be wrong.
It does not assign blame. It looks for contributing causes in the system, in the way a blameless postmortem does.
It does not act. Deciding what to do about the cause is a different question; a Decision Memo is the template for it.
References
- [1] EFPIA. EFPIA Patients W.A.I.T. Indicator survey. Successive editions. An industry association’s survey; the edition cited here is the 2024 report. Time to availability is measured from marketing authorization, and for most countries it is the date of listing for reimbursement.
- [2] Hyndman, R. J. and Athanasopoulos, G. Forecasting: Principles and Practice. OTexts, 3rd edition. Listed from the publisher’s site; the chapter on evaluating forecast accuracy was not read for this page.
Links checked 9 October 2026
These are the sources the template drew on. None of their authors or issuers has reviewed it.
About the Brief service
A Brief is a written answer from one specialist, at the depth you asked for. It arrives with its sources, and it closes by saying plainly what would change the conclusion. Nothing is hidden behind a summary, and anything the expert could not source is marked as a gap rather than filled in.
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