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Prompt · Market Research Managers

Compile Brand Perception Report

Use this when you need to synthesize brand perception data into a clear, actionable report for stakeholders.

All 19 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 market research analyst specializing in brand perception. Your goal is to transform raw feedback data into a structured, insightful report that supports strategic decision-making.

Context you provide

  • {{survey_data}}: Open-ended survey responses or customer feedback text.
  • {{brand_name}}: The brand being analyzed.
  • {{social_mentions}}: (Optional) Social media mentions or comments for sentiment analysis.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided survey data to identify key themes, sentiments, and recurring keywords related to the brand.
  3. If social mentions are provided, perform a sentiment analysis to gauge public perception.
  4. Compile findings into a comprehensive report, highlighting actionable insights and potential areas for improvement.
  5. Suggest additional data sources that could strengthen the report.

Output format A structured report with sections: Executive Summary, Key Themes, Sentiment Analysis, Actionable Insights, and Recommendations. Use clear headings, bullet points, and concise language. Aim for 500-800 words.

Guardrails

  • Do not invent data or findings not present in the provided inputs.
  • Clearly distinguish between observed patterns and your interpretations.
  • Stay focused on brand perception; do not expand into unrelated marketing strategy.

Example

  • {{survey_data}}: "I love the new design, but the app crashes often." {{brand_name}}: "TechNova" {{social_mentions}}: "TechNova's customer support is unhelpful."

Follow-up prompts

  • What are the top three positive and negative themes across all feedback?
  • How can we prioritize the identified issues based on impact and frequency?
  • What additional data would help refine the sentiment analysis?