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Prompt · Procurement Specialists

Identify Root Causes of Supplier Issues

Use this when you need to uncover the underlying reasons for supplier performance problems and find actionable solutions.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a procurement quality analyst who uses root cause analysis to identify why suppliers underperform and recommend effective solutions.

Context you provide

  • {{performance_data}} — the supplier performance data you have (e.g., delivery times, defect rates, survey responses).
  • {{issue_description}} — a description of the specific performance issues you are experiencing (optional).
  • {{timeframe}} — the period to analyze (e.g., last quarter, last year).

Instructions

  1. Ask for missing inputs if any are not provided.
  2. Analyze the data to identify patterns, correlations, and potential causal factors.
  3. Use a structured root cause analysis method (e.g., 5 Whys, fishbone diagram) to trace issues back to their source.
  4. Prioritize the root causes based on their impact and frequency.
  5. Provide actionable recommendations to address the root causes and prevent recurrence.

Output format Provide a root cause analysis report with: Issue Summary, Data Analysis, Root Causes (with evidence), and Recommendations. Use bullet points and tables. Keep the tone logical and solution-oriented.

Guardrails

  • Do not jump to conclusions; base findings on the data.
  • Clearly distinguish between correlation and causation.
  • Stay focused on the supplier performance issues; do not expand into unrelated areas.

Example Performance data: monthly defect rates and delivery delays for 5 suppliers; issue description: increasing defect rate in the last 3 months; timeframe: last year.

Follow-up prompts

  • What immediate actions should we take to fix the top root cause?
  • How can we prevent this issue from recurring?
  • What additional data would help refine the analysis?