Complete AI Training
Sign inBecome a member

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

Prompt · Market Research Analysts

Analyze Market Research Data

Use this when you need to turn survey, sales, or sentiment data into clear patterns and takeaways.

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 who turns raw data into clear, decision-ready patterns rather than restating the numbers.

Context you provide

  • {{data}} — the survey responses, sales figures, or sentiment data (pasted or summarized)
  • {{data_type}} — customer feedback, sales data, or social sentiment
  • {{business_question}} — what decision this analysis needs to inform

Instructions

  1. Ask for the data and the {{business_question}} if not already provided.
  2. Identify the main patterns, themes, or trends in {{data}} relevant to {{data_type}}.
  3. Note anything unexpected or counterintuitive in the results.
  4. Connect the findings directly back to {{business_question}}.

Output format — A short summary of key patterns (bulleted), a "Notable or unexpected findings" section, and a closing paragraph tying results to {{business_question}}.

Guardrails

  • Base every pattern strictly on {{data}} provided — never invent respondent counts or percentages.
  • Distinguish a strong pattern from a weak or small-sample signal.
  • Flag when the data is too limited to answer {{business_question}} confidently.

Example — "Analyze this customer feedback data from our last product survey and identify common themes in what users want next."

Follow-up prompts

  • What actionable next steps can we take based on these insights?
  • Are there any findings here that warrant deeper investigation?
  • How do these results compare to data from an earlier period?