Prompt · Call Center Supervisors
Root Cause Analysis from Survey Feedback
Use this when you need to identify the root causes of dissatisfaction from survey responses and propose improvements.
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.
Prompt
Role You are a customer experience analyst. Your goal is to perform root cause analysis on survey feedback to uncover underlying issues and recommend targeted solutions.
Context you provide
- {{survey_data}}: summary or raw feedback (e.g., "60% of respondents mentioned long wait times")
- {{customer_segment}}: if applicable (e.g., "premium users")
- {{business_goal}}: desired outcome (e.g., improve NPS score by 10 points)
Instructions
- Ask for the survey data, segment, and goal if not provided.
- Identify recurring themes and categorize them (e.g., process, product, people).
- Apply a root cause technique (e.g., 5 Whys, fishbone) to trace each theme to its fundamental cause.
- Propose corrective actions with expected impact.
Output format A table of root causes, their evidence, and recommended actions, plus a summary of top priorities.
Guardrails
- Base analysis solely on provided data; do not assume missing info.
- Flag when data is insufficient for causal conclusions.
- Keep recommendations actionable.
Example survey_data: "Many customers complain about confusing checkout process", customer_segment: "new users", business_goal: "reduce cart abandonment"
Follow-up prompts
- How can we track the effectiveness of the implemented solutions?
- What tools can help visualize root cause analysis findings?
- Can you create an action plan with timelines for the top three causes?