Sales Analytics Terms
20 terms in this category
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Reference Guide
Call Intelligence Glossary
A reference guide to key terms used in call intelligence, conversation analytics, speech analytics, and customer conversation AI.
Alphabetical Index
Jump to terms by letter.
Category Groupings
Terms are grouped to support sales analytics, customer experience, QA/compliance, AI/NLP modeling, and operational performance use cases.
Customer Experience Terms
12 terms in this category
QA / Compliance Terms
12 terms in this category
AI / NLP Terms
18 terms in this category
Operational Metrics
18 terms in this category
Core Terms
Each term includes a definition, context, why it matters, related metrics, and links to supporting KPI, use case, architecture, and documentation pages.
A
Abandonment Rate
Share of inbound calls that disconnect before agent engagement.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
Active Listening Score
Quality signal measuring whether reps acknowledge and build on customer input.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
Agent Assist
Real-time prompts generated from live conversation analysis.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Agent Talk Time
Total duration an agent is speaking during a call.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
B
Barge-in Detection
Detection of overlapping speech where one speaker interrupts another.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Behavioral Coaching Signal
Detected call behavior that indicates a clear coaching opportunity.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
Booking Intent
Language indicating readiness to schedule a demo, meeting, or follow-up.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
Buying Signals
Conversation cues that indicate purchase readiness or commitment.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
C
Call Disposition
Standardized outcome label describing how a call ended.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
Call Intelligence
AI-driven conversion of call content into structured operational insight.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Call Outcome Classification
Rules or model assignment of outcomes such as resolved, escalated, or qualified.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
Call Quality Score
Composite quality score derived from rubric criteria.
Context: Applied in quality governance, audit readiness, and policy adherence programs.
Why it matters: Creates consistent review standards and reduces quality or regulatory exposure.
Related Metrics
QA ScoreScript Adherence ScoreCompliance Exception Rate
Call Summary
Condensed recap of key call events, risks, and follow-up actions.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Churn Risk Signal
Language pattern indicating elevated cancellation or attrition risk.
Context: Applied in support quality, retention analysis, and service journey optimization.
Why it matters: Improves customer outcomes by exposing friction and unresolved service risks earlier.
Related Metrics
Sentiment TrajectoryFirst-Call ResolutionEscalation Rate
Compliance Monitoring
Continuous detection of policy and disclosure adherence in calls.
Context: Applied in quality governance, audit readiness, and policy adherence programs.
Why it matters: Creates consistent review standards and reduces quality or regulatory exposure.
Related Metrics
QA ScoreScript Adherence ScoreCompliance Exception Rate
Conversation Intelligence
Analysis of transcript and speech patterns for intent, sentiment, and outcomes.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Conversation Turn
Single uninterrupted speaking segment by one participant.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
D
Dead Air Rate
Percent of call duration with no active speech from either party.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
Deal Risk Score
Estimate of opportunity stall or loss risk based on call evidence.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
Diarization
Speaker separation process that labels who said what.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Discovery Question Rate
Frequency of meaningful discovery questions asked by the rep.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
E
Empathy Detection
Detection of language that shows reassurance and customer acknowledgment.
Context: Applied in support quality, retention analysis, and service journey optimization.
Why it matters: Improves customer outcomes by exposing friction and unresolved service risks earlier.
Related Metrics
Sentiment TrajectoryFirst-Call ResolutionEscalation Rate
Escalation Likelihood
Predictive estimate that a call will require elevated handling.
Context: Applied in support quality, retention analysis, and service journey optimization.
Why it matters: Improves customer outcomes by exposing friction and unresolved service risks earlier.
Related Metrics
Sentiment TrajectoryFirst-Call ResolutionEscalation Rate
Escalation Rate
Percent of calls requiring transfer to a higher-support tier.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
Exception Queue
Prioritized list of calls flagged for quality, risk, or compliance review.
Context: Applied in quality governance, audit readiness, and policy adherence programs.
Why it matters: Creates consistent review standards and reduces quality or regulatory exposure.
Related Metrics
QA ScoreScript Adherence ScoreCompliance Exception Rate
F
First Call Resolution
Share of issues resolved within the initial customer interaction.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
Follow-Up Commitment
Explicit next-step promise captured by the end of a call.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
Friction Point Detection
Identification of moments where customer effort or confusion increases.
Context: Applied in support quality, retention analysis, and service journey optimization.
Why it matters: Improves customer outcomes by exposing friction and unresolved service risks earlier.
Related Metrics
Sentiment TrajectoryFirst-Call ResolutionEscalation Rate
G
Greeting Compliance
Measurement of whether required opening language is delivered.
Context: Applied in quality governance, audit readiness, and policy adherence programs.
Why it matters: Creates consistent review standards and reduces quality or regulatory exposure.
Related Metrics
QA ScoreScript Adherence ScoreCompliance Exception Rate
H
Handle Time
Average total time spent handling a call from start to completion.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
Handoff Quality
Quality of context transfer when calls move between teams or agents.
Context: Applied in support quality, retention analysis, and service journey optimization.
Why it matters: Improves customer outcomes by exposing friction and unresolved service risks earlier.
Related Metrics
Sentiment TrajectoryFirst-Call ResolutionEscalation Rate
Hold Time Ratio
Share of call duration spent in hold states.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
I
Intent Detection
Classification of customer purpose and desired outcome in conversation.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Interaction Analytics
Systematic analysis of communication patterns across many calls.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Interruption Frequency
Rate at which participants cut each other off during active turns.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
J
Journey Stage Classification
Tagging interactions by lifecycle stage such as discovery, support, or retention.
Context: Applied in support quality, retention analysis, and service journey optimization.
Why it matters: Improves customer outcomes by exposing friction and unresolved service risks earlier.
Related Metrics
Sentiment TrajectoryFirst-Call ResolutionEscalation Rate
K
Keyword Spotting
Detection of predefined words or phrases in audio and transcripts.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
KPI Framework
Structured model linking metrics to team decisions and ownership.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
L
Lead Qualification Signal
Call evidence indicating deal fit, urgency, and buying likelihood.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
Long Silence Event
Extended no-speech interval above an operationally defined threshold.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
Loss Reason Capture
Structured extraction of why opportunities were not advanced or won.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
M
Manager Review Queue
Manager-facing list of calls prioritized for targeted review.
Context: Applied in quality governance, audit readiness, and policy adherence programs.
Why it matters: Creates consistent review standards and reduces quality or regulatory exposure.
Related Metrics
QA ScoreScript Adherence ScoreCompliance Exception Rate
Metrics Drift
Sustained KPI movement caused by model, process, or data changes.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
Model Calibration
Adjustment of model thresholds to match observed performance reality.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Moment Extraction
Identification of high-value call moments such as objections or commitments.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
N
Next Best Action
Recommended follow-up action generated from conversation evidence.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
Next-Step Clarity
Degree to which post-call commitments are explicit and actionable.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
Noise Suppression
Audio preprocessing that reduces background noise before transcription.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
O
Objection Category
Standardized label for objection themes like pricing, timing, or trust.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
Objection Detection
Automated detection of customer hesitation or resistance statements.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Opportunity Signal
Evidence of expansion, cross-sell, or conversion potential in a call.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
Outcome Confidence
Confidence score that generated outcome labels are accurate.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
P
Pause-to-Response Time
Time from customer utterance completion to agent response.
Context: Applied in support quality, retention analysis, and service journey optimization.
Why it matters: Improves customer outcomes by exposing friction and unresolved service risks earlier.
Related Metrics
Sentiment TrajectoryFirst-Call ResolutionEscalation Rate
Phrase Coverage
Rate of required phrases detected in eligible calls.
Context: Applied in quality governance, audit readiness, and policy adherence programs.
Why it matters: Creates consistent review standards and reduces quality or regulatory exposure.
Related Metrics
QA ScoreScript Adherence ScoreCompliance Exception Rate
Pipeline Risk Indicator
Metric flagging opportunities likely to stall based on call behavior.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
Post-Call Automation
Automated tasks and updates triggered after call analysis completes.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
Predictive QA
Model-driven prioritization of which calls QA should review first.
Context: Applied in quality governance, audit readiness, and policy adherence programs.
Why it matters: Creates consistent review standards and reduces quality or regulatory exposure.
Related Metrics
QA ScoreScript Adherence ScoreCompliance Exception Rate
Processing Latency
Elapsed time from call end to analysis output availability.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
Q
QA Rubric
Weighted criteria set used to score interaction quality.
Context: Applied in quality governance, audit readiness, and policy adherence programs.
Why it matters: Creates consistent review standards and reduces quality or regulatory exposure.
Related Metrics
QA ScoreScript Adherence ScoreCompliance Exception Rate
QA Sampling Rate
Percentage of total calls selected for QA review.
Context: Applied in quality governance, audit readiness, and policy adherence programs.
Why it matters: Creates consistent review standards and reduces quality or regulatory exposure.
Related Metrics
QA ScoreScript Adherence ScoreCompliance Exception Rate
Quality Assurance Score
Final quality score assigned after rubric evaluation.
Context: Applied in quality governance, audit readiness, and policy adherence programs.
Why it matters: Creates consistent review standards and reduces quality or regulatory exposure.
Related Metrics
QA ScoreScript Adherence ScoreCompliance Exception Rate
Question Density
Number of meaningful questions relative to call duration.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
R
Reason Code Taxonomy
Controlled classification set for call outcomes, risks, and events.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
Resolution Confidence
Estimated confidence that the customer issue was fully resolved.
Context: Applied in support quality, retention analysis, and service journey optimization.
Why it matters: Improves customer outcomes by exposing friction and unresolved service risks earlier.
Related Metrics
Sentiment TrajectoryFirst-Call ResolutionEscalation Rate
Response Time to Objection
Speed and quality of rep handling after an objection appears.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
Retention Risk Indicator
Signal showing elevated probability of churn or downgrade.
Context: Applied in support quality, retention analysis, and service journey optimization.
Why it matters: Improves customer outcomes by exposing friction and unresolved service risks earlier.
Related Metrics
Sentiment TrajectoryFirst-Call ResolutionEscalation Rate
S
Script Adherence
Extent to which required call flow language was followed.
Context: Applied in quality governance, audit readiness, and policy adherence programs.
Why it matters: Creates consistent review standards and reduces quality or regulatory exposure.
Related Metrics
QA ScoreScript Adherence ScoreCompliance Exception Rate
Sentiment Analysis
Classification of emotional tone across a call transcript.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Sentiment Trajectory
Direction of sentiment change from beginning to end of a call.
Context: Applied in support quality, retention analysis, and service journey optimization.
Why it matters: Improves customer outcomes by exposing friction and unresolved service risks earlier.
Related Metrics
Sentiment TrajectoryFirst-Call ResolutionEscalation Rate
Speaker Separation
Role-aware distinction of agent and customer speech.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Summary Accuracy
Alignment of generated summaries with transcript evidence.
Context: Applied in quality governance, audit readiness, and policy adherence programs.
Why it matters: Creates consistent review standards and reduces quality or regulatory exposure.
Related Metrics
QA ScoreScript Adherence ScoreCompliance Exception Rate
T
Talk-to-Listen Ratio
Balance of speaking time between rep and customer.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
Topic Clustering
Grouping of semantically similar themes across calls.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Transfer Rate
Percent of calls transferred to another queue or specialist.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate
Turn-Taking Balance
Distribution of speaking turns between participants.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
U
Unresolved Issue Flag
Marker indicating likely unresolved customer concerns at call close.
Context: Applied in support quality, retention analysis, and service journey optimization.
Why it matters: Improves customer outcomes by exposing friction and unresolved service risks earlier.
Related Metrics
Sentiment TrajectoryFirst-Call ResolutionEscalation Rate
Upsell Opportunity Score
Score estimating expansion potential based on call language.
Context: Applied in revenue coaching, deal reviews, and opportunity execution workflows.
Why it matters: Improves visibility into rep execution quality and conversion risk across the pipeline.
Related Metrics
Talk-to-Listen RatioObjection FrequencyBuying Signal Rate
V
Voice-of-Customer Signal
Structured customer insight extracted from conversation content.
Context: Applied in support quality, retention analysis, and service journey optimization.
Why it matters: Improves customer outcomes by exposing friction and unresolved service risks earlier.
Related Metrics
Sentiment TrajectoryFirst-Call ResolutionEscalation Rate
W
Word Error Rate
Speech-to-text accuracy metric comparing transcript output to reference text.
Context: Applied in transcript processing, signal extraction, and model-driven analysis pipelines.
Why it matters: Strengthens reliability of extracted insights that downstream teams use for decisions.
Related Metrics
Sentiment ScoreResolution ConfidenceSummary Accuracy
Workflow Adherence
Consistency with required process steps and call handling standards.
Context: Applied in routing, staffing, SLA monitoring, and process-performance reviews.
Why it matters: Helps teams improve throughput, consistency, and resolution performance at scale.
Related Metrics
Average Call DurationTransfer RateCallback Required Rate