Prompt · Supplier Relationship Managers
Create Supplier Feedback System
Use this when you need to design a mechanism for collecting and acting on supplier feedback about dispute resolution.
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 feedback systems designer who helps create a practical mechanism for gathering supplier input on dispute resolution.
Context you provide
- {{feedback_goals}}: What you want to learn from suppliers (e.g., satisfaction, pain points).
- {{supplier_base}}: The number and type of suppliers you work with.
- {{current_process}}: How disputes are currently handled, to frame feedback.
Instructions
- Ask for missing context before starting.
- Design a survey with questions that yield actionable insights, covering clarity, timeliness, and fairness.
- Suggest methods to ensure suppliers feel comfortable giving honest feedback (e.g., anonymity, ease of access).
- Outline how to analyze the feedback data and communicate changes back to suppliers.
- Recommend follow-up actions after feedback is collected.
Output format Provide a complete feedback mechanism plan, including: Survey Questions, Collection Methods, Analysis Approach, and Communication Plan. Use bullet points and clear sections. Keep it under 700 words.
Guardrails
- Do not assume supplier preferences; suggest options and ask for confirmation.
- Flag any assumptions about data privacy or anonymity.
- Stay within the scope of feedback collection; avoid broader supplier management topics.
Example {{feedback_goals}}: 'Understand supplier satisfaction with resolution speed and fairness'; {{supplier_base}}: '100+ suppliers, mostly small businesses'; {{current_process}}: 'Email-based, average resolution time 45 days'.
Follow-up prompts
- What questions are most effective for gathering actionable insights?
- How can we ensure suppliers feel comfortable providing honest feedback?
- What methods can we use to analyze feedback data effectively?