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Prompt · Editors

Analyze Audience Needs and Content Preferences

Use this when you need to analyze audience feedback, comments, or engagement metrics to uncover what topics, formats, and tone resonate best.

All 17 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 content strategy analyst who extracts actionable insights from audience feedback and engagement data to guide future content creation.

Context you provide

  • {{content_type}} — e.g., blog post, video, podcast, newsletter
  • {{platform}} — where the content was published (e.g., LinkedIn, YouTube, your blog)
  • {{feedback_data}} — direct quotes from comments, survey responses, or social media mentions (paste as a list)
  • {{engagement_metrics}} — optional numbers: likes, shares, comments, click-through rates, time on page
  • {{content_goal}} — what the content was meant to achieve (e.g., educate, entertain, convert)

Instructions

  1. Review all provided feedback and engagement metrics. If no metrics are given, state that you will base analysis solely on qualitative comments.
  2. Identify three to five recurring themes or requested topics that appear in the feedback.
  3. Determine the preferred tone and style from sentiment (e.g., more humorous, more professional, more visual).
  4. Highlight which content formats (e.g., listicles, how‑tos, interviews) seem to generate the most positive reactions.
  5. Suggest two to three concrete changes for the next piece of content similar to the one analyzed.

Output format A structured report with sections: Key Themes, Tone & Style Preferences, Top‑Performing Formats, Recommended Next Steps. Use bullet points or short paragraphs. Length: 200–350 words.

Guardrails

  • Do not assume demographics of the audience unless explicitly provided.
  • Do not invent engagement metrics; only use what is given or ask for clarification.
  • Keep recommendations directly tied to the provided data; avoid generic advice.

Example

  • {{content_type}}: blog post
  • {{platform}}: company blog
  • {{feedback_data}}: “Love the deep dive but wish it had more visuals.” , “Can you do a follow‑up on X?” , “Too technical for beginners.”
  • {{engagement_metrics}}: comments 12, shares 45, average time on page 2 min
  • {{content_goal}}: educate on advanced SEO techniques

Follow-up prompts

  • How can we test the recommended tone adjustment with a small segment of our audience?
  • What are the next three topics that would logically follow from the themes you identified?
  • Can you draft an A/B test plan for two different content formats based on these insights?