20252034 horizon (10y)
Module 1

Market Foundation

Editable source of truth for Chronic weight management in adults with obesity. Every edit flows into the forecast, scenarios, and snapshots downstream.

All values at seeded defaults. Click any cell to edit.
AI Foundation Review
Grades each row against 0 chunks across 0 documents + house view.
Grade every segment and channel against the pinned + uploaded evidence library. Returns supported / contradicted / stale / no-evidence per row, with verbatim citations. Upload at least one document in the Evidence Library to run this.

Patient segments

Sizing, share, persistence, and per-segment access friction (new vs continuing) — per brief §2.

Access impact sourceHeuristic— replace with claims-derived curves to anchor.
SegmentDiagnosed (M)Treatment rateMax shareAccess impact · newAccess impact · cont.New persistenceCont. persistence
BMI ≥30 w/ comorbidity
Obesity with T2D, HTN, dyslipidemia
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%
%
%
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BMI ≥30 uncomplicated
Obesity without qualifying comorbidity
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BMI 27–29.9 w/ comorbidity
Overweight with qualifying comorbidity
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%
Established CVD (SELECT)
Secondary CV risk reduction label
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%
Adolescent obesity
Ages 12–17 with BMI ≥95th %ile
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%
%
%
%
%
Manual rows give you full control. AI suggestions draft starter rows from your uploaded docs + House View — review and accept individually.

Payer channels

Channel mix, baseline access, GTN, WAC, and annual WAC/rebate drift over the horizon (brief §2).

ChannelMixBaseline accessGTNWAC ($/mo)WAC growth /yrRebate drift /yrPBM admin fee
Commercial
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Self-insured / carve-out
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Medicare Part D
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Medicare Advantage
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Medicaid (FFS+MCO)
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Cash / 340B
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Key business questions

The issue map. Every downstream driver and assumption ties back to one of these. Add custom KBQs below — they flow into the issue map and coverage-gap flag.

House view

The team's framing doc that's injected into every AI call. Lives with the rest of the grounding stack.

House view and source documents live in the Evidence Library — both are AI grounding context, not quant inputs. The Foundation Review above cites the relevant chunks per row.