Support AI Skill
Customer Feedback Management
Collect, analyze, and act on customer feedback through surveys, reviews, social listening, and NPS/CSAT programs to drive product improvements and service quality. Use when designing feedback programs, configuring NPS/CSAT surveys, analyzing customer sentim...
Customer Feedback Management & Voice of Customer
Systematically collect, analyze, and act on customer feedback across all touchpoints through structured NPS/CSAT programs, review management, social listening, and closed-loop feedback processes.
Workflow
Phase 1: Feedback Program Design
- Define feedback framework:
- NPS (Net Promoter Score): overall loyalty, "How likely to recommend?" (0-10 scale)
- CSAT (Customer Satisfaction): transactional satisfaction, "How satisfied were you?" (1-5 scale)
- CES (Customer Effort Score): ease of interaction, "How easy was it?" (1-5 scale)
- Qualitative: open-ended comments, interview insights, review text
- Social listening: brand mentions, sentiment across social channels
- Map feedback collection touchpoints:
- Post-interaction: after support ticket resolution, after purchase, after onboarding
- Periodic: quarterly NPS, annual customer health survey
- Event-triggered: after product update, after billing change, after contract renewal
- Proactive: pulse surveys, feature request collection, UX feedback
- Design survey instruments:
- Question design (concise, unbiased, actionable)
- Response scale selection (Likert, numeric, emoji)
- Question logic and branching
- Timing optimization (when to send for max response rate)
- Multi-language support
Phase 2: Collection & Analysis
- Deploy feedback collection:
- Automated survey triggers (post-interaction, periodic)
- Multi-channel delivery (email, in-app, SMS, web intercept)
- Incentive program (optional: gift cards, loyalty points, feature access)
- Response rate optimization (timing, length, personalization)
- Analyze quantitative metrics:
- NPS calculation: Promoters (9-10) - Detractors (0-6)
- CSAT average and distribution
- CES average and trend
- Segment-level analysis (by product, plan, region, tenure)
- Trend analysis (week-over-week, month-over-month)
- Analyze qualitative feedback:
- Sentiment analysis (AI-powered categorization)
- Theme extraction (common topics: pricing, features, support, UX)
- Severity classification (critical issues, enhancement requests, bugs)
- Topic modeling (identify emerging themes)
- Verbatim review sampling for deep insights
Phase 3: Action & Closed-Loop
- Immediate response protocols:
- Detractor callback: <24 hours (support or CSM follows up)
- Critical issue escalation: <4 hours (product/engineering alert)
- Positive feedback amplification: share internally, invite review/referral
- Automated acknowledgment for all respondents
- Action planning:
- Aggregate feedback by theme and priority
- Create action items with ownership and deadlines
- Track implementation of feedback-driven improvements
- Close the loop: notify respondents when their feedback led to change
- Reporting & communication:
- Weekly feedback summary to leadership
- Monthly VoC report with trends, themes, and actions
- Quarterly deep-dive presentations
- Real-time alerts for critical issues
- Cross-functional sharing (product, engineering, support, sales)
Templates
Feedback Program Configuration
CUSTOMER FEEDBACK PROGRAM — Configuration
===========================================
Version: [3.0] | Effective: [Date]
SURVEY TYPES & DEPLOYMENT:
┌──────────────┬────────────┬──────────────┬──────────────┬───────────────┐
│ Survey Type │ Trigger │ Timing │ Channel │ Frequency Cap │
├──────────────┼────────────┼──────────────┼──────────────┼───────────────┤
│ Post-Ticket │ Ticket │ 2 hours │ Email + │ 1x/30 days │
│ CSAT │ closed │ after close │ in-app │ per customer │
├──────────────┼────────────┼──────────────┼──────────────┼───────────────┤
│ Post- │ Purchase │ 24 hours │ Email │ 1x per │
│ Purchase │ completed │ after │ + SMS │ transaction │
│ CSAT │ (if >$100) │ after │ │ │
├──────────────┼────────────┼──────────────┼──────────────┼───────────────┤
│ Quarterly NPS│ Scheduled │ Month 1, 4, │ Email │ 4x/year │
│ │ │ 7, 10 │ │ per customer │
├──────────────┼────────────┼──────────────┼──────────────┼───────────────┤
│ Onboarding │ Day 7, 14, │ Day 7, 14, │ In-app + │ 3x during │
│ CES │ 30 │ 30 │ email │ onboarding │
├──────────────┼────────────┼──────────────┼──────────────┼───────────────┤
│ Feature │ New │ 1 week after │ In-app │ 1x per │
│ Feedback │ feature │ launch │ + email │ feature │
│ │ launch │ │ │ launch │
├──────────────┼────────────┼──────────────┼──────────────┼───────────────┤
│ Pulse Survey │ Monthly │ 1st week │ Email │ 1x/month │
│ │ │ of month │ │ per customer │
└──────────────┴────────────┴──────────────┴──────────────┴───────────────┘
NPS SCORING:
Promoters: 9-10 → Loyalty, expansion opportunity
Passives: 7-8 → Satisfied but not advocates
Detractors: 0-6 → Churn risk, immediate follow-up
CSAT SCORING:
Very Satisfied: 5 → Celebrate, request referral/review
Satisfied: 4 → Maintain
Neutral: 3 → Investigate
Dissatisfied: 2 → Follow-up within 48 hours
Very Dissat.: 1 → Follow-up within 24 hours
RESPONSE RATE TARGETS:
Post-ticket CSAT: ≥ 25%
Quarterly NPS: ≥ 15%
Onboarding CES: ≥ 40%
Feature feedback: ≥ 10%
Pulse survey: ≥ 8%
SURVEY DESIGN STANDARDS:
Max questions: 5 (transactional) / 10 (periodic)
Completion time: < 2 min (transactional) / < 5 min (periodic)
Open-ended: Max 2 questions
Mobile optimized: Yes (all surveys)
Language support: English, Spanish, French, German, Japanese
Closed-Loop Response Protocol
CLOSED-LOOP FEEDBACK RESPONSE — Protocol
==========================================
Version: [2.0] | Effective: [Date]
DETRACTOR RESPONSE (NPS 0-6):
Timeline: < 24 hours
Owner: Support Lead / CSM (by customer tier)
Process:
1. Automated alert to assigned owner
2. Personalized outreach call or email
3. Listen actively, acknowledge frustration
4. Resolve immediate concern or escalate
5. Document resolution in CRM
6. Follow-up within 7 days to confirm satisfaction
Escalation: Unresolved after 48h → Manager | Unresolved after 72h → VP
CRITICAL ISSUE ESCALATION (CSAT 1-2):
Timeline: < 4 hours
Owner: Support Manager
Process:
1. Immediate alert (Slack + email)
2. Contact customer within 4 hours
3. Triage: product bug? service failure? pricing issue?
4. Route to appropriate team (product/engineering/support)
5. Provide timeline for resolution
6. Daily updates until resolved
7. Post-resolution satisfaction check
PASSIVE ENGAGEMENT (NPS 7-8):
Timeline: Within 7 days (automated)
Owner: Marketing automation
Process:
1. Personalized thank-you email
2. Request specific feedback: "What could make it a 9 or 10?"
3. Offer relevant resources (tutorials, tips, new features)
4. Include subtle upgrade/expansion opportunity
PROMOTER AMPLIFICATION (NPS 9-10):
Timeline: Within 48 hours (automated)
Owner: Marketing automation
Process:
1. Personalized thank-you with specific appreciation
2. Invite to leave review (G2, Capterra, Trustpilot)
3. Share referral program link
4. Invite to user community / advisory board
5. Feature in customer spotlight (with permission)
6. Flag for expansion opportunity (sales notification)
INTERNAL CLOSING THE LOOP:
Weekly: Feedback summary → Product team
Monthly: VoC report → Leadership team
Quarterly: Deep-dive presentation → Company-wide
Ad-hoc: Critical feedback → Engineering/Design sprint planning
Annual: Feedback impact report → Board of Directors
FEEDBACK IMPACT TRACKING:
For every theme with ≥ 20 mentions:
1. Create action item with owner and deadline
2. Track implementation status
3. Notify affected customers when change shipped
4. Measure post-change NPS/CSAT shift
5. Document in annual VoC impact report
Integration Points
- Survey platforms: Qualtrics, SurveyMonkey, Delighted, Typeform
- NPS/CSAT tools: Promoter.io, Survicate, Wootric, Nicereply
- Social listening: Brandwatch, Sprout Social, Hootsuite Insights, Mention
- Review management: Trustpilot, G2, Capterra, Google Reviews
- CRM: Salesforce, HubSpot (customer profile, feedback history)
- Support systems: Zendesk, Intercom, Freshdesk (post-ticket surveys)
- Analytics: Tableau, Power BI, Looker (feedback dashboards)
- AI sentiment: MonkeyLearn, Lexalytics, MeaningCloud, custom NLP
- Communication: Slack, email (alerts, follow-ups, internal reports)
- Product tools: Jira, Pendo (feedback-driven feature tracking)
Edge Cases
| Scenario | Handling | |----------|----------| | Low survey response rates | Optimize timing, reduce length, add incentives, personalize, A/B test subject lines | | Survey fatigue (too many surveys) | Enforce frequency caps; consolidate surveys; rotate question sets | | Biased sample (only extremes respond) | Analyze respondent demographics; weight scores; add intercept surveys | | Detractor feedback is abusive | Professional acknowledgment; no engagement on abuse; escalate if threat | | Multinational feedback with cultural differences | Localized surveys; cultural sensitivity in scoring; regional benchmarks | | Feedback contradicts product roadmap | Document and present data; engage in data-driven prioritization discussion | | Incentive-driven response bias | Track incentive vs. organic respondents separately; adjust analysis | | Feedback volume overwhelms team | AI triage; prioritize by severity and volume; auto-respond for common themes |
Output
Voice of Customer Dashboard
VOICE OF CUSTOMER DASHBOARD — Monthly Summary
===============================================
Period: January 2025
OVERALL SCORES:
NPS: +42 [↑ +3 from December] ████████████████████████████░░░░ (target: +45)
CSAT: 4.3/5.0 [↑ +0.1] ██████████████████████████████████░░░░ (target: 4.5)
CES: 2.8/5.0 [→ stable] ███████████████████████████░░░░░░░░░ (lower = better)
NPS BREAKDOWN:
Promoters (9-10): 58% ████████████████████████████████
Passives (7-8): 27% ████████████████
Detractors (0-6): 15% █████████
RESPONSE METRICS:
Surveys sent: 12,847
Responses: 3,456 (26.9% response rate)
NPS responses: 892 (15.2% of active base)
CSAT responses: 2,134 (28.7% of interactions)
CES responses: 430 (39.1% of onboarding cohort)
TOP FEEDBACK THEMES (by mention volume):
1. "API reliability issues" — 87 mentions | Sentiment: 62% negative | Priority: HIGH
2. "Dashboard UI improvements" — 64 mentions | Sentiment: 45% negative | Priority: HIGH
3. "Pricing transparency" — 52 mentions | Sentiment: 58% negative | Priority: MEDIUM
4. "New reporting features loved" — 48 mentions | Sentiment: 89% positive | Priority: LOW
5. "Onboarding too complex" — 41 mentions | Sentiment: 71% negative | Priority: HIGH
6. "Customer support praise" — 39 mentions | Sentiment: 95% positive | Priority: LOW
7. "Mobile app performance" — 35 mentions | Sentiment: 55% negative | Priority: MEDIUM
CLOSED-LOOP METRICS:
Detractor callbacks: 127/134 (94.8% within 24h)
CSAT 1-2 follow-ups: 34/36 (94.4% within 4h)
Detractor recovery rate: 23% (score improved on follow-up survey)
Promoter review rate: 18% (invited to leave review)
Promoter referral rate: 8% (used referral link)
ACTION TRACKING:
Open action items: 14 | Completed this month: 9 | Overdue: 2
Top completed actions:
1. API timeout fix shipped → related NPS mentions ↓ 40%
2. Onboarding video series launched → CES ↑ 0.3 points
3. Pricing page updated → pricing complaints ↓ 25%
TREND ANALYSIS (6-month):
NPS: 38 → 39 → 40 → 41 → 39 → 42 (↑ +4 overall)
CSAT: 4.1 → 4.2 → 4.2 → 4.3 → 4.2 → 4.3 (↑ +0.2 overall)
Response rate: 22% → 24% → 25% → 26% → 27% → 26.9% (↑ +4.9% overall)