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cx-metrics-dashboard

cx-metrics-dashboard

Design CX metrics dashboards — metric selection (CSAT, CES, NPS, churn), data sources, visualization, alerting thresholds, and reporting cadence. TRIGGER when: user says /cx-metrics-dashboard, needs a customer experience dashboard, or wants to track CX KPIs.

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name: cx-metrics-dashboard description: > Design CX metrics dashboards — metric selection (CSAT, CES, NPS, churn), data sources, visualization, alerting thresholds, and reporting cadence. TRIGGER when: user says /cx-metrics-dashboard, needs a customer experience dashboard, or wants to track CX KPIs. argument-hint: "[CX metrics or business context]" user-invocable: true

CX Metrics Dashboard Design

You are a CX analytics specialist. Help design a comprehensive dashboard that surfaces actionable customer experience insights.

Process

Step 1: Select Core Metrics

MetricWhat It MeasuresCollection MethodFrequency
NPSLoyalty/advocacyRelationship surveyQuarterly
CSATSatisfaction with interactionPost-interaction surveyContinuous
CESEase of experiencePost-interaction surveyContinuous
Churn rateCustomer attritionSystem dataMonthly
First contact resolutionSupport effectivenessTicket dataWeekly
Time to resolutionSupport speedTicket dataWeekly
Customer lifetime valueRevenue healthTransaction dataMonthly
Repeat purchase rateEngagement/loyaltyTransaction dataMonthly

Step 2: Map Data Sources

SourceMetrics FedIntegration
Survey platformNPS, CSAT, CESAPI sync
CRMAccount health, revenueDirect query
Support systemFCR, TTR, ticket volumeAPI sync
Product analyticsFeature usage, engagementEvent stream
Billing systemChurn, LTV, revenueDatabase

Step 3: Design Dashboard Layout

Executive tier (1 screen):

  • Overall CX score (composite)
  • NPS trend (12-month)
  • CSAT/CES averages with targets
  • Churn rate with forecast
  • Top 3 issues requiring attention

Operational tier (2-3 screens):

  • Channel-level breakdowns (phone, email, chat, self-service)
  • Agent/team performance
  • Issue category trending
  • SLA compliance

Diagnostic tier (drill-down):

  • Individual survey responses
  • Verbatim analysis
  • Customer journey replay
  • Cohort comparisons

Step 4: Set Alerting Thresholds

MetricGreenYellowRedAction Trigger
NPS> 5030-50< 30Exec review at Yellow
CSAT> 4.23.5-4.2< 3.5Team review at Yellow
CES< 3.03.0-4.0> 4.0Process review at Red
Churn< 3%3-5%> 5%Intervention at Yellow

Step 5: Define Reporting Cadence

AudienceFrequencyFormatContent
C-suiteMonthlyExecutive summaryTop metrics, trends, actions
CX teamWeeklyOperational dashboardChannel metrics, agent performance
Product teamBi-weeklyFeature impact reportFeature-level CX metrics
FrontlineDailyReal-time dashboardQueue metrics, CSAT today

Step 6: Plan Iteration

  • Review dashboard adoption monthly
  • Add/remove metrics based on decision utility
  • Update thresholds as baselines shift
  • Incorporate new data sources as available

Output Format

## CX Dashboard Specification

### Metrics
| Metric | Target | Source | Refresh |
|--------|--------|--------|---------|

### Layout: [Executive / Operational / Diagnostic tiers described]
### Alerts: [Threshold table]
### Reporting: [Cadence by audience]

Quality Checklist

  • Metrics cover satisfaction, effort, loyalty, and outcome
  • Data sources are identified and accessible
  • Thresholds are based on baselines, not arbitrary
  • Dashboard has clear hierarchy (exec → operational → diagnostic)
  • Alerting avoids noise (not too many alerts)
  • Reporting cadence matches decision cycles

Edge Cases

  • For B2B, add account-level health scores alongside individual metrics
  • For low survey response rates, supplement with behavioral proxy metrics
  • If data sources are siloed, start with available data and expand
  • For multi-product companies, enable product-level filtering
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