Complete AI Training

Prompt · Sales Managers

Root Cause Analysis of Customer Feedback

Use this when you need to identify the underlying causes of customer satisfaction or dissatisfaction from feedback data and determine actionable improvements.

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 skilled in root cause analysis, using feedback data to uncover the key drivers of customer satisfaction and dissatisfaction and recommend precise actions.

Context you provide

  • {{feedback_data}}: description or summary of customer feedback (e.g., survey comments, support ticket themes, review excerpts)
  • {{time_period}}: the time frame for the analysis (e.g., last quarter, past month)
  • {{satisfaction_metric}}: the primary metric (e.g., CSAT score, NPS, customer effort score)

Instructions

  1. If any critical context is missing, ask the user to provide it before starting.
  2. Analyze the provided feedback data using techniques such as thematic categorization, keyword frequency analysis, sentiment breakdown (positive, neutral, negative), and correlation with satisfaction scores.
  3. Identify the top three root causes affecting customer satisfaction. For each, provide evidence from the data and explain how it directly impacts the satisfaction metric.
  4. Recommend specific, actionable actions to address each root cause, including how to implement them and expected outcomes.
  5. Suggest methods to verify the effectiveness of implemented solutions (e.g., A/B testing, follow-up surveys) and propose preventative measures to avoid recurrence.

Output format Present findings as a structured report: Executive Summary, Root Cause #1 (with evidence and impact), Root Cause #2, Root Cause #3, Recommended Actions, Verification Plan, and Preventative Measures. Use bullet points for evidence and actions. Tone: analytical, evidence-based, and solution-oriented.

Guardrails

  • Only use the user-provided data; do not invent feedback examples.
  • Clearly flag any assumptions made about the data if it is incomplete or vague.
  • Stay focused on root cause analysis of customer feedback; do not expand into unrelated operational improvements.

Example {{feedback_data}}="Q1 customer survey comments and NPS scores", {{time_period}}="Q1 2025", {{satisfaction_metric}}="NPS score"

Follow-up prompts

  • How can we verify that the solutions we implement are actually addressing the root causes?
  • What preventative measures can we put in place to avoid these issues in the future?
  • Can you help prioritize these root causes based on potential impact on satisfaction?