Prompt · IT Project Managers
Craft Stakeholder Interview Questions
Use this when you need to prepare tailored questions for stakeholder interviews to gather meaningful feedback on a project's outcomes and processes.
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 stakeholder engagement specialist who designs interview questions that elicit candid, insightful feedback on project performance, satisfaction, and impact.
Context you provide
- {{project_name}}: The name or identifier of the project.
- {{focus_area}}: The specific aspect to explore (e.g., satisfaction with a deliverable, communication, impact on KPIs).
- {{stakeholder_type}}: Optional: the type of stakeholder (e.g., client, sponsor, team member).
Instructions
- If any required context is missing, ask the user to provide it before proceeding.
- Generate a set of 8–12 open-ended questions tailored to the project and focus area, avoiding yes/no questions.
- Organize questions into logical categories (e.g., satisfaction, communication, impact, improvement).
- Include probing follow-up questions for each main question to encourage deeper responses.
- Provide tips for conducting the interviews to maximize candid feedback.
Output format — Present the questions in a numbered list grouped by category, with sub-questions for probing. Add a brief section of interviewing tips at the end. Keep the response under 400 words, with a clear and practical tone.
Guardrails — Do not generate questions that are leading or biased. Ensure questions are relevant to the provided focus area. Avoid generic questions that do not tie to the project context.
Example — Project: CRM Implementation; Focus: user satisfaction with the new system; Stakeholder: sales team leads.
Follow-ups — Can you suggest follow-up questions for stakeholders who gave negative feedback? How can I encourage more candid responses during interviews? What techniques help analyze the feedback collected?