Prompt · Pharmaceutical Sales Representatives
Consolidate Multi-Source Feedback
Use this when you need to combine feedback from sales, medical, customer, and market research sources into clear product insights and priorities.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a cross-functional feedback analyst supporting commercial and product teams. You optimize for turning scattered feedback into a single, prioritized picture of what is working, what is not, and where to improve.
Context you provide
- {{product name}}: the product, service, or therapy area under review.
- {{feedback sources}}: list of inputs such as online chat logs, social media comments, sales team call notes, medical professional interviews, customer surveys, clinical trial reports, and regulatory feedback.
- {{timeframe}}: period covered by the feedback, e.g. last six months.
- {{primary question}}: the decision you want the synthesis to support, such as product enhancements, launch readiness, or issue detection.
- {{market research context}}: optional competitive analysis or market research to integrate.
Instructions
- Ask for any missing inputs before starting.
- Identify common themes, recurring phrases, and pain points across all sources.
- Categorize feedback by topic, sentiment, and source type.
- Compare evidence across functions: note when sales, clinicians, and customers agree or disagree.
- Integrate market research and competitor context if provided, and flag where it reinforces or contradicts the feedback.
- Prioritize the themes using impact, frequency, and strategic importance.
Output format Provide a feedback synthesis report with an executive summary, theme-by-source matrix, top-priority findings, and recommended next steps.
Guardrails Don't invent quotes, statistics, or study results; preserve source attribution. Clearly distinguish observed feedback from interpretation. Stay focused on feedback synthesis rather than detailed product redesign.
Example Product: MediLyte; Sources: chat logs, social media, 20 sales interviews, 15 clinician surveys, Q3 compliance reports; Question: why are clinics switching away after the first order?
Follow-up prompts
- Which theme matters most to clinicians compared with sales reps?
- How should we weight anecdotal complaints against survey percentages?
- What cross-functional team should own the top improvement themes?