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Dr. Max — Engaged Target (M6)

Elevation install · GroupWide · multi-market
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Concierge adoption reinforcing loop

Forrester system-dynamics model of the concierge adoption loop: R1 reinforcing (trained pharmacists → accuracy → onboarding → users) with balancing loops B1 (eval failures depress accuracy) and B2 (consult time drives churn).

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Concierge adoption reinforcing loop Forrester system-dynamics model of the concierge adoption loop: R1 reinforcing (trained pharmacists → accuracy → onboarding → users) with balancing loops B1 (eval failures depress accuracy) and B2 (consult time drives churn). + + + + + - + + - onboarding rate churn rate training rate detection rate resolution rate Prospective users Active concierge users users Churned users Recommendation accuracy Disclosure compliance rate Pharmacist pool Trained pharmacists pharmacists Avg time per consult Field signal Logged eval failures failures Eval coverage % Resolved failures R1 — reinforcing: a growing user base justifies training → accuracy rises → onboarding climbs → the base compounds. B1 / B2 — balancing: more users surface eval failures that depress accuracy until resolved; more users raise consult time → churn, until training catches up. Reinforcing loop R1 (active users justify training → accuracy → onboarding → more users). Balancing loops B1 (more users surface eval failures that depress accuracy until resolved) and B2 (more users raise consult time → churn; training compresses it).
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Add flowmaterial flow between stock/source/sink
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Add info linkinfluence arrow with polarity
+ same direction, − opposite, blank = neutral
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