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Customer Experience (CX) Insights provides a unified post-interaction view of customer experience across conversations, queues, channels, and contact directions. It helps supervisors, QA managers, and CX leaders analyze customer satisfaction, sentiment, resolution outcomes, churn risk, and satisfaction drivers using real conversation data. The dashboard supports direction-aware analysis through the Channel filter. When you select Inbound, Outbound, or Both, all widgets and visualizations update to show only matching interactions.
Enable the Conversational Intelligence toggle under Configure > Settings to access CX Insights and CX trends.
Navigate to Quality AI > Analyze > CX Insights. CX Insights Dashboard

Why Use CX Insights?

Use CaseHow CX Insights Helps
Experience MonitoringTracks resolution, wait time, and customer sentiment trends.
Risk DetectionIdentifies churn risk and escalation patterns early.
Satisfaction DriversHighlights topics that improve or reduce customer satisfaction.
Issue PrioritizationHelps teams focus on high-impact customer pain points.
Directional AnalysisSeparately analyzes inbound and outbound experiences.

Dashboard Sections

SectionWhat it shows
CX MetricsAverage Wait Time, Resolution Rate, Sentiment, Churn Monitor.
CSAT DriversTopics positively influencing satisfaction.
DSAT DriversTopics negatively affecting customer experience.
Insights MiningTopic clusters, keywords, and emotion trends.
Interaction DetailsConversation-level records and metadata.

Filters

Date Range

Filter CX Insights data by date range (for example, Last 90 Days, Last 28 Days, Last 7 Days). The default is Today. Select a range and select Apply.

Channel and Direction

Filter CX data by channel and interaction direction. Available direction options:
OptionDescription
BothShows inbound and outbound conversations
InboundShows customer-initiated interactions only
OutboundShows agent-initiated interactions only
Applying this filter updates all widgets in real time. Channel Filter

Top-Level CX Metrics

These widgets provide a high-level view of service quality and customer experience. To see which agents or behaviors influence CX outcomes, refer to Performance Insights.

Average Wait Time

Displays the average time customers wait before an agent responds. Calculation: Calculated as total wait time ÷ customers served in the period. Defaults to 0 when no data is available. Shows:
  • monitor responsiveness
  • identify staffing issues
  • optimize queue performance
Use to: Monitor responsiveness and identify staffing or queue optimization needs. Average Wait Time

Overall Resolution Rate

Shows the percentage of interactions marked as resolved in the selected period. Displays 0% when no qualifying conversations exist. Shows:
  • track resolution effectiveness
  • benchmark service quality
  • measure process improvements
Use to: Track end-to-end resolution effectiveness, measure impact of process improvements, and set benchmarks. Overall Resolution Rate

Sentiment and Churn

Sentiment Distribution

Shows the distribution of customer sentiment across all analyzed interactions. The doughnut chart classifies conversations as:
ColorSentiment
GreenPositive
YellowNeutral
RedNegative
The center shows the total interaction count. Use to: Understand overall customer, track sentiment shifts over time, and compare topic-level experience trends. Sentiment Category

Customer Churn Monitor

Shows churn risk in a pie chart, comparing the churn percentage with total calls and escalations.
CategoryColorDescription
No Churn or EscalationGreenInteractions with no customer churn or escalation.
Customer ChurnRedInteractions where customer churn risk detected.
EscalationYellowInteractions where Supervisor escalation requested.
Hover over a section to see its value; select a section to view related calls. Use to: Identify churn risks early, track escalation trends, and prioritize retention. Customer Churn Monitor
Process conversations after enabling Conversational Intelligence in Configuration > Settings to populate churn insights.

CSAT Drivers

CSAT Drivers identify topics that positively influence customer satisfaction. The system uses a driver impact scoring model based on sentiment and topic volume. CSAT Drivers

Driver Impact Formula

Driver Impact Score = (Average Sentiment − Baseline Sentiment) × Conversation Count
ComponentDescription
Average SentimentMean sentiment score (1-10) for the topic.
Baseline SentimentOverall sentiment average for the selected filters.
Conversation VolumeNumber of interactions tagged with the topic.

Qualification Criteria

A topic qualifies as a CSAT driver only when it meets both:
  • Volume: ≥30 conversations and ≥2% of total conversations.
  • Deviation: ≥0.8 sentiment points from baseline.

Driver Card Details

Each card shows:
  • Topic name with taxonomy path (for example, L2: Travel Planning > L3: Cost of the Flights).
  • Average sentiment score with comparison indicator.
  • Color-coded sentiment badge.
  • Sentiment deviation from baseline.
  • Conversation volume.

Warning Indicators

Topics that don’t meet qualification thresholds display a warning appears.
Warning TypeMeaning
Volume WarningInsufficient data for reliable insights.
Deviation WarningSentiment is close to baseline.
BothLimited volume and low differentiation.
Display rules:
  • If 6+ qualified drivers exist: Show top 6 (no warnings).
  • If fewer than 6 qualified drivers: Fill remaining slots with warning cards.
  • If limited data: Show a warning message indicating insufficient data.

Baseline Calculation

SelectionBaseline
Multiple or all channelsOverall filtered sentiment average.
Single channelChannel-specific sentiment average.
  • When Conversational Intelligence or Generative AI is disabled, advanced CX insights aren’t available.
  • To enable: Navigate to Generative AI Tools > Gen AI Feature > Copilot.

DSAT Drivers

DSAT Drivers identify topics that negatively impact customer satisfaction. DSAT Drivers The system uses the same scoring model as CSAT Drivers but surfaces topics with sentiment below baseline. Visual indicators:
  • Red sentiment badges.
  • Warning icons when data thresholds aren’t met.
Use to: Identify customer pain points, prioritize high-impact fixes, and track improvements after corrective actions.
If insufficient data is available, the system displays an empty or warning state.

Data Handling Rules

CX Insights excludes the following interactions from all aggregated metrics:
  • Below Threshold
  • Duration Unavailable
Manually evaluated conversations remain included. Excluded interactions do not affect:
  • totals
  • averages
  • distributions
  • driver calculations