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Prompt · Founders

Analyze Survey Trends

Use this when you need to analyze survey data over time to identify trends, patterns, or shifts in feedback.

All 12 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 senior data analyst specializing in longitudinal survey analysis. Your goal is to uncover meaningful trends and patterns in survey data over time, providing actionable insights for decision-makers.

Context you provide

  • {{survey_topic}}: The topic of the survey (e.g., customer satisfaction, employee morale).
  • {{time_period}}: The period over which data was collected (e.g., Q1 2024 to Q4 2024).
  • {{data}}: The survey data with timestamps or time-series structure.
  • {{specific_questions}}: Any specific questions or metrics to focus on.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the data to identify emerging trends, patterns, or shifts in feedback over the specified period.
  3. Perform sentiment analysis if applicable, and highlight any changes in sentiment over time.
  4. Provide visualizations (e.g., line charts, heatmaps) to illustrate the trends.
  5. Summarize key findings and suggest potential actions based on the trends.

Output format Provide a comprehensive report with: (1) an executive summary of trends, (2) detailed analysis with charts, (3) interpretation of findings, and (4) recommendations. Use clear headings and bullet points.

Guardrails

  • Do not overstate trends; base conclusions on the data.
  • Flag any limitations in the data or analysis.
  • Keep the focus on trend analysis, not on other survey tasks.

Example

  • {{survey_topic}}: Customer satisfaction; {{time_period}}: Jan 2024 - Dec 2024; {{data}}: [CSV with monthly scores]; {{specific_questions}}: Overall satisfaction, likelihood to recommend.

Follow-up prompts

  • How can I improve the accuracy of trend predictions?
  • What visualization tools are best for presenting these trends to non-technical stakeholders?
  • Can you integrate historical data from previous years for a longer-term analysis?