Run Customer Satisfaction Analysis
Use a structured, evidence-aware workflow to run customer satisfaction analysis, surface missing context and finish with prioritized next actions.
Prompt structure
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01
Question
Define the decision and success criteria
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02
Evidence
Organize sources, definitions and gaps
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03
Analysis
Compare patterns, causes and alternatives
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04
Decision
Recommend actions with confidence levels
Use this prompt when
- You need evidence before making a business decision.
- Several data sources need to be compared consistently.
- The available information has gaps or uncertain claims.
- You need findings translated into practical next actions.
Information to provide
- The question or decision the analysis must support
- Available data, documents, links or observations
- Relevant segment, geography and time period
- Known limitations, definitions and assumptions
- The audience and the action they may take
What the prompt produces
- A concise answer to the research question
- Key findings tied to the supplied evidence
- Assumptions, gaps and confidence levels
- Prioritized recommendations and next checks
Fill it. Run it.
IDEAFORGELABS EXECUTION STANDARD
- Treat every bracketed field as a prompt placeholder. Use the value supplied for it consistently throughout the response.
- If a required placeholder or critical fact is missing, ask only the focused questions needed before producing the final deliverable.
- Do not invent facts, figures, credentials, sources, policies, customer evidence or business results.
- Clearly label assumptions, estimates, unresolved questions and anything that needs verification.
- Follow every task-specific phase, requirement, count, format and deliverable below. Do not replace them with a generic answer.
- Prefer recommendations and implementation steps that a solo operator or small team can realistically execute.
- Flag legal, financial, employment, privacy, security or safety decisions that require qualified review.
TASK-SPECIFIC PROMPT
#CONTEXT:
You are tasked with conducting a comprehensive customer satisfaction survey to identify areas for improvement and provide data-driven recommendations to enhance service quality and product offerings. The survey should focus on key aspects of the business and the results should be meticulously analyzed to derive actionable insights.
#ROLE:
Adopt the role of a customer satisfaction expert and data analyst, skilled in designing surveys, analyzing results, and deriving actionable insights to enhance service quality and product offerings.
#RESPONSE GUIDELINES:
1. Design a comprehensive customer satisfaction survey
● Identify the target audience, sample size, and survey method
● Include multiple choice, Likert scale, and open-ended questions
2. Analyze survey results
● Identify data sources used in the analysis
● Apply appropriate statistical methods
● Identify key findings, trends, and patterns
3. Provide data-driven recommendations
● Suggest service improvements and product enhancements based on insights gained
● Ensure recommendations aim to maximize customer satisfaction and loyalty
4. Develop an implementation plan
● Outline the timeline for implementing recommendations
● Identify resources required for successful implementation
● Define key performance indicators (KPIs) to measure success
#CUSTOMER SATISFACTION SURVEY CRITERIA:
1. The survey should be comprehensive, covering all key aspects of the business
2. Questions should be clear, concise, and easily understandable by the target audience
3. The survey should include a mix of multiple choice, Likert scale, and open-ended questions to gather both quantitative and qualitative data
4. Avoid leading questions or bias in the survey design
5. Focus on gathering actionable insights that can drive meaningful improvements
#INFORMATION ABOUT ME:
● My target audience: [TARGET_AUDIENCE]
● My sample size: [SAMPLE_SIZE]
● My survey method: [SURVEY_METHOD]
● My data sources: [DATA_SOURCE1], [DATA_SOURCE2], [DATA_SOURCE3]
● My statistical methods: [STATISTICAL_METHOD1], [STATISTICAL_METHOD2], [STATISTICAL_METHOD3]
#RESPONSE FORMAT:
## Customer Satisfaction Survey Design
● Target audience: [TARGET_AUDIENCE]
● Sample size: [SAMPLE_SIZE]
● Survey method: [SURVEY_METHOD]
### Question Types
1. Multiple choice questions
2. Likert scale questions
3. Open-ended questions
## Data Analysis
### Data Sources
1. [DATA_SOURCE1]
2. [DATA_SOURCE2]
3. [DATA_SOURCE3]
### Statistical Methods
1. [STATISTICAL_METHOD1]
2. [STATISTICAL_METHOD2]
3. [STATISTICAL_METHOD3]
### Key Findings
1. [KEY_FINDING1]
2. [KEY_FINDING2]
3. [KEY_FINDING3]
## Recommendations
### Service Improvements
1. [SERVICE_IMPROVEMENT1]
2. [SERVICE_IMPROVEMENT2]
3. [SERVICE_IMPROVEMENT3]
### Product Enhancements
1. [PRODUCT_ENHANCEMENT1]
2. [PRODUCT_ENHANCEMENT2]
3. [PRODUCT_ENHANCEMENT3]
## Implementation Plan
● Timeline: [IMPLEMENTATION_TIMELINE]
● Resources required: [RESOURCES_REQUIRED]
### Key Performance Indicators (KPIs)
1. [KPI1]
2. [KPI2]
3. [KPI3]
How to use the prompt
- Add the real context
Provide the question or decision the analysis must support and replace broad statements with facts.
- Fill the important gaps
Answer the prompt's focused questions instead of allowing it to guess.
- Review the working analysis
Correct false assumptions and check calculations, claims and constraints.
- Choose the next actions
Select the recommendations that fit your capacity, risk tolerance and deadline.
- Measure and refine
Track the suggested indicators, then rerun the prompt when new evidence appears.
Run Customer Satisfaction Analysis FAQ
What does the Run Customer Satisfaction Analysis prompt do?
It helps you run customer satisfaction analysis through a structured workflow and produces evidence-backed analysis and recommendations.
What information should I provide?
Start with the question or decision the analysis must support, available data, documents, links or observations, relevant segment, geography and time period. Add constraints and examples for a more specific result.
Which AI tools work with this prompt?
The prompt works with ChatGPT, Claude, Grok and other capable conversational models that can follow a multi-step brief.
Can I rely on the output without reviewing it?
No. Verify factual claims, calculations and recommendations before acting, especially for regulated, legal, financial or people-related decisions.