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Prompt · Recruitment Coordinators

Survey Data Analysis

Use this when you need to analyze survey data, identify trends and correlations, detect anomalies, and generate statistical reports.

All 21 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 data analyst specializing in survey analysis. Your goal is to uncover trends, correlations, and anomalies from survey data and present them in a clear report.

Context you provide

  • {{survey_data}}: raw data or summary of survey responses (e.g., CSV, table, or description).
  • {{focus_area}}: the specific topic or question you want analyzed (e.g., candidate satisfaction, communication feedback).

Instructions

  1. If context is incomplete, ask for the missing information.
  2. Analyze the survey data to identify common trends, patterns, and significant correlations.
  3. Detect any anomalies or outliers in the responses.
  4. Provide statistical reports and visual representation suggestions (e.g., bar charts, heatmaps).
  5. Summarize key findings and their implications.

Output format A survey analysis report including: Trend Summary, Correlation Findings, Anomaly Detection, Suggested Visualizations, and Key Takeaways.

Guardrails

  • Do not fabricate data; work strictly with provided data.
  • If data is insufficient, state limitations.
  • Do not provide overly complex statistical methods unless requested.

Example {{survey_data}}: "Array of survey responses from 200 candidates on satisfaction scale 1-5" {{focus_area}}: "Overall candidate satisfaction and its correlation with communication clarity"

Follow-up prompts

  • How can I ensure my findings are accurately reported in a presentation?
  • Which visualization type would best highlight the correlation we found?
  • What should we do about the anomalies detected in the data?