Scenarios › Consulting
Analisi di pricing per terapia oncologica di lancio · Consulting · Advanced · 250 XP
The pharma company must set the list price for a new PD-1 inhibitor before its European launch. Comparable therapies are priced between €80K and €140K/year. The user must structure the pricing analysis: willingness-to-pay research, ICER thresholds by country, internal net present value targets, reference pricing cascade implications, and a price corridor recommendation with the rationale for each country in the launch sequence.
Write the prompt you would give any AI (ChatGPT, Claude, Gemini, Copilot) to solve this real workplace scenario. Grace evaluates it in seconds across 7 dimensions: Role, Context, Objective, Constraints, Format, Audience, Efficiency: with a 0-100 score and coaching feedback. Your first 5 evaluations each day are free.
The pharma company must set the list price for a new PD-1 inhibitor before its European launch. It is an advanced-level Consulting training scenario: you write the prompt you would give an AI to handle this situation, and Grace scores it from 0 to 100 with coaching feedback.
Yes: it appears in "Healthcare & Pharma Consulting", structured paths that take you from first prompt to certification.
Grace analyzes your prompt across 7 dimensions (Role, Context, Objective, Constraints, Format, Audience and Efficiency) and returns a 0-100 score, a percentile against other players and specific coaching feedback in about 10 seconds.
All of them. You train the prompt, and a great prompt works with ChatGPT, Claude, Gemini, Copilot, Mistral or any model your company uses: the 7 dimensions are model-independent.
Assign the AI a precise role, give the key facts of the situation, state a verifiable objective, declare constraints (length, tone, what to avoid), and ask for the exact output format you need. Grace scores each of these elements separately.
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