Professional CSAT, NPS, CES customer satisfaction survey design framework with complete question bank, scoring standards, industry benchmarks, distribution strategies, and data analysis methods. Generate ready-to-use survey templates to scientifically measure customer satisfaction and drive continuous improvement.
You are a customer experience research expert and satisfaction survey designer. Please design professional CSAT (Customer Satisfaction Score) and NPS (Net Promoter Score) surveys based on business objectives. 【Survey Design Objectives】 Primary Purpose: [Measure overall satisfaction/Identify improvement areas/Predict churn/Benchmarking/Other] Target Audience: [New customers/Returning customers/VIP customers/Churned customers/Potential customers] Trigger Timing: [After purchase/After service completion/Regular survey/After specific events] Sample Size: [Small (<100)/Medium (100-1000)/Large (>1000)] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Part 1: CSAT (Customer Satisfaction Score) Survey Design ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 【Core Metric Definition】 CSAT = (Satisfied customers / Total respondents) × 100% - Very Satisfied: 5 points - Satisfied: 4 points - Neutral: 3 points - Dissatisfied: 2 points - Very Dissatisfied: 1 point Industry Benchmarks: - Excellent: ≥ 85% - Good: 75-84% - Average: 65-74% - Needs Improvement: < 65% 【Survey Structure Design】 Part 1: Overall Satisfaction (Required) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Q1. Overall, how satisfied are you with our [product/service]? □ 5 - Very Satisfied □ 4 - Satisfied □ 3 - Neutral □ 2 - Dissatisfied □ 1 - Very Dissatisfied Q2. How likely are you to recommend our product/service to friends or colleagues? □ 10 - Extremely Likely □ 9 □ 8 □ 7 □ 6 □ 5 □ 4 □ 3 □ 2 □ 1 - Extremely Unlikely Part 2: Dimension Ratings (Select based on business) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 【Product Quality Dimension】 Q3. Please rate the following aspects (1-5 points): - Product feature completeness: ___ points - Product quality stability: ___ points - Product ease of use: ___ points - Product innovation: ___ points - Value for money: ___ points 【Service Quality Dimension】 Q4. Please rate the following aspects (1-5 points): - Customer service response speed: ___ points - Customer service professionalism: ___ points - Problem resolution efficiency: ___ points - Service attitude: ___ points - Multi-channel support: ___ points 【Delivery Experience Dimension】 Q5. Please rate the following aspects (1-5 points): - Delivery timeliness: ___ points - Packaging integrity: ___ points - Logistics tracking convenience: ___ points - Delivery personnel service: ___ points Part 3: Open-Ended Questions (Qualitative Insights) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Q6. What do you like most about our product/service? Why? [Open text box] Q7. In what areas do you think we need to improve? Please be specific. [Open text box] Q8. If you could change one thing to improve your experience, what would it be? [Open text box] Part 4: Customer Profile (Optional) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Q9. How many times have you used our product/service? □ First time □ 2-3 times □ 4-10 times □ More than 10 times Q10. What is your primary purpose for using our product/service? [Multiple choice] □ Personal use □ Work requirements □ Learning improvement □ Entertainment □ Other: ______ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Part 2: NPS (Net Promoter Score) Survey Design ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 【Core Metric Definition】 NPS = Promoter percentage - Detractor percentage - Promoters: 9-10 points - Passives: 7-8 points - Detractors: 0-6 points Industry Benchmarks: - World Class: ≥ 70 - Excellent: 50-69 - Good: 30-49 - Average: 0-29 - Needs Improvement: < 0 【Standard NPS Survey】 Core Question: "On a scale of 0-10, how likely are you to recommend [Company Name]'s [product/service] to friends or colleagues?" 0 - Not at all likely 10 - Extremely likely Follow-up Questions (Branching based on score): 【If score 9-10 (Promoters)】 Q1. What is the main reason you would recommend us? [Open text box] Q2. What three aspects do you think we do best? □ Product quality □ Customer service □ Price advantage □ Brand reputation □ Innovative features □ Other: ______ 【If score 7-8 (Passives)】 Q1. What can we do to make you more likely to recommend us? [Open text box] Q2. What is the main reason preventing you from giving us a higher score? [Open text box] 【If score 0-6 (Detractors)】 Q1. We apologize for not meeting your expectations. What is the main issue? [Open text box] Q2. What measures can we take to improve your experience? [Open text box] Q3. Are you willing to give us a chance to improve? □ Yes, I am willing to try □ Not sure □ No, I have decided not to use anymore ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Part 3: CES (Customer Effort Score) Survey Design ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 【Core Metric Definition】 CES measures the effort required to resolve issues 1 - Very Easy 5 - Very Difficult Industry Benchmarks: Lower is better - Excellent: ≤ 2.0 - Good: 2.1-3.0 - Average: 3.1-4.0 - Needs Improvement: > 4.0 【Standard CES Survey】 Core Question: "How much effort did you have to put in to resolve your issue?" □ 1 - Very Easy □ 2 - Easy □ 3 - Neutral □ 4 - Difficult □ 5 - Very Difficult Follow-up Questions: Q1. Which step felt most effortful? [Open text box] Q2. How can we make this process simpler? [Open text box] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Part 4: Survey Distribution Strategy ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 【Timing Selection】 ✓ Immediately after transaction (within 24 hours): Capture instant experience ✓ After service completion: Evaluate service quality ✓ 7 days after use: Assess actual usage experience ✓ Regular surveys (quarterly/half-yearly): Track trend changes ✓ After specific events: New feature launch, policy changes, etc. 【Channel Selection】 ✓ Email survey: Suitable for B2B, high-value customers ✓ In-app popup: Suitable for mobile app users ✓ SMS link: Suitable for quick feedback ✓ Website embed: Suitable for website visitors ✓ Phone interview: Suitable for in-depth interviews 【Sampling Strategy】 ✓ Full survey: Important milestones (e.g., annual survey) ✓ Random sampling: Daily monitoring ✓ Stratified sampling: Ensure representation of customer segments ✓ Targeted sampling: For specific issues ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Part 5: Data Analysis & Reporting ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 【Quantitative Analysis】 1. Overall score calculation 2. Trend analysis (MoM/YoY) 3. Segmentation analysis (by customer group/product/region) 4. Correlation analysis (relationship between dimensions and overall satisfaction) 【Qualitative Analysis】 1. Text mining (high-frequency words, sentiment analysis) 2. Theme classification (common issues, improvement suggestions) 3. Case extraction (typical positive/negative reviews) 【Action Recommendations】 1. Priority ranking (high impact + easy implementation) 2. Responsibility assignment (clear owners) 3. Timeline development (short/medium/long term) 4. Effect tracking (closed-loop management) Now, please design a complete satisfaction survey based on the following information: Business Type: [E-commerce/SaaS/Finance/Education/Other] Survey Goal: [Enter] Target Audience: [Enter] Trigger Timing: [Enter] Key Focus Dimensions: [Enter]