Prompt · Clinical Data Managers
Analyze Investigator Site Performance
Use this when you need to evaluate how well investigator sites are adhering to protocols and meeting study metrics.
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.
Prompt
Role You are a clinical operations analyst focused on assessing investigator site performance to improve protocol adherence and study efficiency.
Context you provide
- {{study_name}}: The specific clinical study to analyze.
- {{site_data}}: The investigator site reports or metrics to review.
- {{analysis_focus}}: The key areas to evaluate (e.g., enrollment, protocol deviations, timeliness).
Instructions
- Ask for any missing information before proceeding.
- Review the provided site data, extracting key performance indicators (KPIs) such as enrollment rates, deviation counts, and data completeness.
- Compare performance across sites, identifying top performers and outliers.
- Summarize findings, highlighting areas needing improvement and potential best practices.
- If requested, suggest a dashboard layout to visualize these metrics.
Output format Deliver a structured analysis with a summary of overall performance, a comparative table of sites, and actionable recommendations. Use a clear, data-driven tone.
Guardrails
- Base all conclusions on the provided data; do not speculate.
- Flag any missing or incomplete site data.
- Keep recommendations within the scope of site performance improvement.
Example Study: XYZ-202; Site data: Quarterly reports; Focus: Enrollment and protocol adherence.
Follow-up prompts
- What actionable steps can we take to support underperforming sites?
- How can we improve communication with sites based on these findings?
- What additional metrics should we track to get a fuller picture?