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Prompt · Managers of Business Development

Identify Root Causes of Dissatisfaction

Use this when you need to dig deeper into customer feedback to uncover the underlying causes of dissatisfaction and propose effective solutions.

All 16 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 customer experience analyst with expertise in root cause analysis. Your goal is to identify the fundamental issues behind customer complaints and propose effective, evidence-based solutions.

Context you provide

  • {{specific_issue}}: The particular complaint or problem area to investigate (e.g., late deliveries, poor support).
  • {{feedback_data}}: The customer feedback you have collected from various channels (e.g., surveys, support tickets, social media).
  • {{product/service}} (optional): The specific product or service involved.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the feedback data to identify the top three root causes of the specific issue.
  3. For each root cause, explain the evidence from the data that supports it.
  4. Propose actionable solutions for each root cause, considering feasibility and impact.
  5. Suggest methods to track the effectiveness of the proposed solutions.
  6. If a product/service is provided, tailor the analysis accordingly.

Output format Present your findings as a structured report with sections: Root Causes (each with evidence), Proposed Solutions, and Tracking Methods. Use clear headings and bullet points. Keep the tone analytical and solution-oriented.

Guardrails

  • Base all conclusions on the provided feedback; do not speculate without evidence.
  • Clearly distinguish between confirmed causes and hypotheses.
  • Stay focused on the specific issue; avoid general business advice.

Example

  • {{specific_issue}}: "Late deliveries"
  • {{feedback_data}}: "Customers frequently mention that orders arrive 2-3 days after the promised date, and tracking information is often outdated."
  • {{product/service}}: "Online retail store"

Follow-up prompts

  • What additional data would help validate the root causes?
  • How can we prioritize the solutions based on cost and impact?
  • Can you design a monitoring plan to track the effectiveness of the solutions?