--- name: customer-feedback-surveys description: Collect, analyze, and act on customer feedback using NPS, CSAT, CES surveys and voice-of-customer programs. Use when designing customer surveys, implementing NPS programs, measuring customer satisfaction, analyzing customer feedback, creating survey workflows, or building voice-of-customer programs. Triggers on phrases like "NPS survey", "customer satisfaction", "CSAT", "customer effort score", "CES", "customer feedback", "survey design", "voice of customer", "VOC program", "feedback collection", "customer insight". --- # Customer Feedback & Survey System Collect, analyze, and act on customer feedback systematically across all touchpoints. ## Workflow 1. Define feedback objectives: What decisions will feedback inform? 2. Select survey methodologies: NPS, CSAT, CES, custom surveys by use case. 3. Design survey instruments: Question selection, scale design, question ordering. 4. Determine deployment strategy: Timing, frequency, channel, targeting. 5. Build automated survey workflows: Trigger-based deployment and follow-up. 6. Analyze results: Score calculation, trend analysis, sentiment analysis, segmentation. 7. Close the loop: Act on feedback, follow up with detractors, share insights across teams. 8. Report and iterate: Monthly feedback reports, quarterly strategy adjustments. ## Survey Methodology Framework ``` SURVEY TYPE SELECTION MATRIX ============================== NPS (Net Promoter Score): Question: "On a scale of 0-10, how likely are you to recommend [Company] to a friend or colleague?" Response categories: Promoters (9-10): Loyal enthusiasts who drive growth Passives (7-8): Satisfied but vulnerable to competition Detractors (0-6): Unhappy customers at risk of churn Formula: NPS = % Promoters − % Detractors (range: −100 to +100) Best for: Overall brand loyalty, relationship health, trend tracking Frequency: Quarterly (B2C), Semi-annually (B2B) Benchmark by industry: Consumer retail: 30-50 SaaS / Technology: 30-60 Banking / Finance: 20-40 Airlines: −25 to 0 Hotels: 40-60 Healthcare: 15-35 Strengths: Simple, universally understood, correlates with growth Limitations: Doesn't explain WHY, cultural bias (some cultures don't give 10s) CSAT (Customer Satisfaction Score): Question: "How satisfied were you with [specific experience/product/support interaction]?" Scale: 1-5 (Very Dissatisfied → Very Satisfied) or 1-10 Formula: CSAT = (% 4s + % 5s) × 100 (for 5-point scale) Best for: Transactional satisfaction, specific experience measurement Frequency: After each key interaction (purchase, support, onboarding milestone) Benchmark: 70-85% satisfied (4-5 on 5-point scale) is good Strengths: Specific, actionable, tied to touchpoints Limitations: Moment-in-time, can be gamed, doesn't measure loyalty CES (Customer Effort Score): Question: "How easy was it to handle your request?" (1-5 or 1-7 scale) Scale: 1 (Very Difficult) → 5 or 7 (Very Easy) Formula: CES = Average score or % low-effort responses Best for: Support experience, process optimization, friction identification Frequency: After support interactions, checkout, account management tasks Benchmark: > 4.0/5.0 or > 6.0/7.0 is good Strengths: Predicts loyalty better than satisfaction (Harvard Business Review research) Limitations: Only measures ease, not overall experience quality CUSTOM / IN-DEPTH SURVEYS: Use for: Product feedback, feature prioritization, market research, brand perception Question types: Multiple choice, rating scales, open-ended, ranking, NPS Length: Maximum 10 questions (completion drops 20%+ per additional question) Frequency: Varies by objective (monthly pulse, quarterly deep-dive) ``` ## Survey Design Best Practices ``` SURVEY DESIGN FRAMEWORK ========================= QUESTION DESIGN PRINCIPLES: 1. KEEP IT SHORT: → Ideal: 5-7 questions maximum → Time: Under 3 minutes to complete → Completion rate drops 15-25% per additional question beyond 5 2. ONE CONCEPT PER QUESTION: → BAD: "How satisfied are you with our product quality and customer service?" → GOOD: "How satisfied are you with our product quality?" + separate CSAT for service 3. USE CONSISTENT SCALES: → Pick ONE scale direction per survey (all 1-5 or all 1-10) → Label all scale endpoints (avoid "strongly agree" confusion) → Odd-numbered scales allow neutral response (5-point, 7-point) 4. AVOID LEADING QUESTIONS: → BAD: "How much did you enjoy our amazing new feature?" → GOOD: "How would you rate your experience with our new feature?" 5. LOGICAL QUESTION ORDER: → Start: Easy, engaging question (score/rating) → Middle: Specific, detailed questions → End: Open-ended feedback ("Anything else?"), demographic info → NEVER: Put open-ended questions first (highest drop-off point) 6. MAKE IT MOBILE-FIRST: → 60-80% of surveys completed on mobile → Large touch targets, single-column layout → Avoid horizontal scrolling → Test on actual mobile devices NPS SURVEY TEMPLATE: Question 1 (Primary): "On a scale of 0-10, how likely are you to recommend [Company] to a friend or colleague?" [0] [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] Question 2 (Follow-up — shown based on score): Detractors (0-6): "I'm sorry to hear that. What's the main reason for your score?" [Open text box — optional] Passives (7-8): "What's one thing we could do to earn a 9 or 10?" [Open text box — optional] Promoters (9-10): "Thank you! What do you value most about [Company]?" [Open text box — optional] Question 3 (Segmentation — all respondents): "Which best describes your role/industry?" (if B2B) or "How long have you been a customer?" [Multiple choice — 4-5 options] Question 4 (Optional): "May we follow up with you about your feedback?" [Yes / No] (if yes, collect email/phone) CSAT SURVEY TEMPLATE (Post-Transaction): Question 1: "How satisfied were you with your [purchase/support experience/product]?" [1] Very Dissatisfied [2] Dissatisfied [3] Neutral [4] Satisfied [5] Very Satisfied Question 2: "What did you like most about your experience?" [Open text — optional] Question 3: "What could we improve?" [Open text — optional] Question 4: "Would you recommend us to others?" [Yes / Probably / Not Sure / Probably Not / No] ``` ## Deployment and Automation ``` SURVEY DEPLOYMENT STRATEGY ============================ TIMING BY SURVEY TYPE: NPS SURVEY: → Relationship NPS: Sent quarterly to all active customers → Transactional NPS: Sent after key milestones (onboarding complete, first purchase, renewal) → Wait time: 7-14 days after transaction (not immediate — allow experience to settle) CSAT SURVEY: → Post-purchase: 24-48 hours after delivery/fulfillment → Post-support: Immediately after ticket resolution (within 1 hour) → Post-onboarding: After Day 7 activation milestone → Wait time: As soon as possible (capture fresh experience) CES SURVEY: → Post-support interaction: Within 30 minutes of resolution → Post-checkout: Immediately after order confirmation → Post-account-task: After password reset, profile update, etc. → Wait time: Immediate (effort is most memorable right after) DEPLOYMENT CHANNELS: EMAIL SURVEYS: → Best for: NPS (relationship), in-depth surveys → Response rate: 15-25% (personalized), 5-15% (transactional) → Format: Single CTA button → survey landing page (not inline — higher completion) → Follow-up: 1 reminder email after 3 days if no response IN-APP / ON-SITE SURVEYS: → Best for: CSAT (transactional), product feedback, CES → Response rate: 5-15% (contextual), 2-5% (general) → Format: Modal or slide-in (non-intrusive, dismissible) → Timing: After specific action (purchase, support chat, feature use) SMS SURVEYS: → Best for: Post-purchase CSAT, quick pulse surveys → Response rate: 25-45% (highest of all channels) → Format: Short link → mobile-optimized survey (1-3 questions max) → Compliance: TCPA consent required, opt-out mechanism SOCIAL MEDIA SURVEYS: → Best for: Brand perception, quick pulse checks → Format: Instagram Stories poll, Twitter poll, Facebook poll → Response rate: Variable (depends on follower engagement) → Limitation: Self-selected sample (biased toward engaged followers) AUTOMATION WORKFLOW: Trigger → Wait → Send → Follow-up → Close Loop Example (Post-Purchase CSAT): Trigger: Order delivered (e-commerce platform) Wait: 48 hours (allow product use time) Send: Email with CSAT survey link Follow-up: Reminder email at Day 5 if no response Close loop: If score < 3 → create support ticket, assign to customer success ``` ## Analysis and Action ``` FEEDBACK ANALYSIS FRAMEWORK ============================= NPS ANALYSIS: SCORE BREAKDOWN: Promoters: XX% (target: > 50%) Passives: XX% (target: < 30%) Detractors: XX% (target: < 20%) NPS Score: XX (target: > 30) TREND ANALYSIS: → Monthly NPS trend (rolling 3-month average for smoothing) → NPS by customer segment (new vs. existing, tier, industry) → NPS by product line or service area → NPS by acquisition channel VERBATIM ANALYSIS (Open-End Responses): → Sentiment analysis: Positive / Neutral / Negative classification → Theme extraction: Top 5 positive themes, top 5 negative themes → Urgent flags: Keywords like "bug", "broken", "cancel", "refund" → Tool: MonkeyLearn, Thematic, Qualtrics Text iQ, or manual coding CSAT TREND REPORT: ┌──────────────┬────────┬────────┬────────┬────────┬────────┐ │ Touchpoint │ May │ Apr │ Mar │ Trend │ Target │ ├──────────────┼────────┼────────┼────────┼────────┼────────┤ │ Purchase │ 4.2/5 │ 4.1/5 │ 4.0/5 │ ↗ +0.2 │ 4.3 │ │ Support │ 3.8/5 │ 3.9/5 │ 4.0/5 │ ↘ -0.2 │ 4.2 │ │ Onboarding │ 4.5/5 │ 4.4/5 │ 4.3/5 │ ↗ +0.2 │ 4.5 │ │ Billing │ 3.5/5 │ 3.6/5 │ 3.7/5 │ ↘ -0.2 │ 4.0 │ │ Product Use │ 4.3/5 │ 4.2/5 │ 4.1/5 │ ↗ +0.2 │ 4.5 │ └──────────────┴────────┴────────┴────────┴────────┴────────┘ CLOSE-THE-LOOP PROCESS: DETRACTOR RESPONSE PROTOCOL (NPS 0-6): → Within 24 hours: Personal follow-up email/call from customer success → Within 48 hours: Root cause investigation and resolution plan → Within 7 days: Follow-up to confirm resolution and re-measure satisfaction → Documentation: Log in CRM, tag for churn risk monitoring → Escalation: If issue unresolved in 7 days → escalate to manager PROMOTER ACTIVATION (NPS 9-10): → Within 48 hours: Thank you email + referral program invitation → Within 1 week: Review request (G2, Trustpilot, Google Reviews) → Ongoing: Feature as testimonial (with permission), invite to beta programs → Monitoring: Track for any satisfaction decline (prevent promoter → detractor) INSIGHT DISTRIBUTION: → Weekly: Customer success team receives detractor list → Bi-weekly: Product team receives feature requests and bug reports → Monthly: Executive summary of NPS trends and themes → Quarterly: Board-level feedback report with strategic implications ``` ## Integration Points - **Delighted / SurveyMonkey / Qualtrics**: Survey creation, deployment, analysis, automation, integrations - **Medallia / Qualtrics XM**: Enterprise voice-of-customer platform, multi-channel feedback, AI-powered insights - **HubSpot / Salesforce**: CRM feedback logging, customer 360° view, automated follow-up workflows - **Klaviyo / Mailchimp**: Survey email deployment, segmentation-based targeting - **MonkeyLearn / Thematic / Dovetail**: Text analytics, sentiment analysis, theme extraction from open-ended responses - **Google Analytics 4**: Feedback correlation with behavioral data, cohort analysis - **Zendesk / Intercom**: Support CSAT automation, ticket-level satisfaction tracking - **Looker Studio**: Feedback dashboards, trend visualization, automated reporting ## Edge Cases - **Survey fatigue and response bias**: Customers overwhelmed by too many surveys - Detection: Response rate declining over time, open rate dropping below 10% - Prevention: Survey frequency cap (max 1 general survey per customer per quarter) - Prevention: Rotate survey recipients (not every customer every time) - Solution: Make surveys shorter (3 questions max for transactional) - Solution: Incentivize participation (entry into monthly draw, points reward) - **Cultural differences in survey responses**: Different cultures respond differently to rating scales - Asia: Tendency toward middle scores (avoid extreme ratings) - US/Europe: More willingness to give 5s and 1s - Germany: Lower average scores (critical culture, not unhappy) - Japan: Reluctance to give highest scores (modesty culture) - Solution: Normalize scores by region/country - Solution: Use comparative metrics (vs. regional benchmarks, not global) - **Small sample size reliability**: NPS/CSAT scores unreliable with few responses - Minimum sample: 30+ responses for basic reliability, 100+ for segmentation - Confidence interval: ± 10 NPS points with 30 responses, ± 5 with 100 responses - Reporting: Always show sample size and confidence interval - Solution: Aggregate across longer time periods for small segments - Solution: Use Bayesian statistics for small sample estimation - **Closing the loop at scale**: Following up on every detractor becomes impossible at high volume - Triage: Score 0-3 → immediate outreach, Score 4-6 → standard follow-up - Automation: Auto-email for score 4-6, human outreach for score 0-3 - Volume management: If > 50 detractors/month → hire dedicated feedback team - SLA: All detractors contacted within 24 hours (track as CS metric) - Quality: Personalized outreach (reference specific feedback, not generic template)