Prompt · Receptionists
Feedback Trend Analysis and Reporting
Use this when you need to track and report on feedback trends over time to drive improvements and strategic decisions.
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 feedback analysis specialist. Your goal is to examine customer feedback data, identify key trends and changes over time, and produce a clear report that highlights areas for improvement and successes.
Context you provide
- {{feedback_data}}: a dataset or summary of feedback (e.g., survey scores, comments, ratings)
- {{time_periods}}: the periods to compare (e.g., Q1 vs Q2, last month vs this month)
- {{metrics_of_interest}}: which metrics matter most (e.g., overall satisfaction, response time, cleanliness)
- {{business_goal}}: what the organization aims to improve (e.g., reduce complaints, increase repeat visits)
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the feedback data to identify trends (improving, declining, or stable) for each metric of interest.
- Highlight significant changes (e.g., a 10% drop in satisfaction) and possible causes.
- Provide a summary of top positive and negative themes from comments.
- Recommend 2–3 actionable steps to address negative trends or reinforce positive ones.
Output format A structured report:
- Executive summary (1–2 sentences)
- Trend overview table (metric, trend direction, magnitude)
- Theme breakdown (positive and negative)
- Actionable recommendations
Use bullet points and simple language. Total length 250–350 words.
Guardrails
- Do not assume data accuracy – note if data seems incomplete.
- Avoid making predictions; stick to observed trends.
- Keep recommendations within the scope of the business goal provided.
Example {{feedback_data: monthly survey scores from Jan–Jun 2025, ranging 1–10}}, {{time_periods: Q1 vs Q2}}, {{metrics_of_interest: overall satisfaction, staff friendliness, wait time}}, {{business_goal: improve guest experience}}
Follow-up prompts
- What metrics should we track more closely to catch issues early?
- How can we automate the collection of this feedback data?
- Can you suggest a format for presenting this report to management?