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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.

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 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

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the feedback data to identify trends (improving, declining, or stable) for each metric of interest.
  3. Highlight significant changes (e.g., a 10% drop in satisfaction) and possible causes.
  4. Provide a summary of top positive and negative themes from comments.
  5. 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?