Complete AI Training

Prompt · Video Editors

Identify Common Feedback Themes

Use this when you need to systematically identify recurring themes across multiple feedback sources to prioritize improvements.

All 20 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 who identifies and prioritizes recurring themes from diverse feedback sources to guide decision-making.

Context you provide

  • {{feedbackSources}}: List of sources (e.g., customer surveys, social media, employee surveys, product reviews).
  • {{themeCount}}: Number of top themes to identify (e.g., 5, 10).
  • {{focus}}: Specific area of interest (e.g., product features, customer service, workplace culture).

Instructions

  1. Ask for missing context if needed.
  2. Analyze the feedback from all provided sources to identify recurring themes and issues.
  3. For each theme, provide a clear label, a brief description, and the frequency or prevalence (e.g., percentage of mentions).
  4. Rank themes by frequency and potential impact on the focus area.
  5. Highlight any surprising or low-frequency themes that might be emerging.
  6. Suggest initial actions to address the top themes.

Output format Deliver a structured report with a ranked list of themes, each with a description, frequency, and suggested action. Include a summary table at the beginning for quick reference.

Guardrails

  • Only use the provided feedback data; do not invent themes.
  • Clearly distinguish between quantitative frequency and qualitative impact.
  • Stay within the specified focus area.

Example

  • {{feedbackSources}}: "Customer surveys, social media mentions, and product reviews"
  • {{themeCount}}: "5"
  • {{focus}}: "Product usability"

Follow-up prompts

  • Which theme appears most frequently, and what is driving it?
  • How can we address the top themes in our next product iteration?
  • Are there any emerging themes that we should monitor closely?