Customer Survey Response Analyzer
Added Apr 1, 2026
About This Prompt
Customer survey data is only valuable if you can extract actionable insights from it, and many teams lack the analytical framework to do so systematically. This prompt transforms raw survey responses into a structured insights report that product, marketing, and leadership teams can act on immediately. The theme identification from open-ended responses is where the most valuable insights typically hide, and the severity-based pain point categorization helps teams prioritize fixes. The impact/effort prioritization of recommendations ensures you focus resources where they will have the greatest effect.
Variables to Customize
[COMPANY_NAME]
Your company name
Example: CloudKitchen Pro
[BUSINESS_TYPE]
What your business does
Example: ghost kitchen management platform
[SURVEY_DATA]
The survey responses (paste raw data or summary)
Example: Q1: How satisfied are you? (1-10 scale) Average: 7.2. Q2: What do you like most? [open ended responses]. Q3: What would you improve? [open ended responses]...
Tips for Best Results
- Paste as many raw responses as possible for more accurate theme identification
- Include demographic data if available for segment-based analysis
- Ask for a follow-up survey design based on the gaps identified in this analysis
Example Output
## Sentiment Overview - Positive: 62% of respondents | Neutral: 23% | Negative: 15% - Overall satisfaction score of 7.2/10 is slightly below the SaaS industry benchmark of 7.5 ## Top 5 Themes from Open-Ended Responses 1. **Ease of Menu Management** (mentioned by 34% of respondents) Representative quote: 'Updating menus across all delivery platforms from one dashboard saves me 2 hours daily.' 2. **Delivery Integration Issues** (mentioned by 28%) Representative quote: 'The DoorDash sync breaks at least once a week during peak hours when we need it most.'