What Is FCR (First Contact Resolution)?
First Contact Resolution (FCR) is the share of issues solved in one interaction. Here is the formula, benchmarks, and why it drives CSAT and cost.
First Contact Resolution (FCR) is the share of issues solved in one interaction. Here is the formula, benchmarks, and why it drives CSAT and cost.
CES measures how much effort a customer spent to get an issue resolved. Here is how it is asked, how it is scored, and why low effort predicts loyalty.
NPS measures customer loyalty on a 0 to 10 scale. Here is the formula, what promoters and detractors mean, benchmarks, and how it links to QA.
CSAT measures how satisfied customers are with a specific interaction, on a percentage scale. Here is the formula, benchmarks, and how it links to QA.
A glossary of customer service quality assurance, QA automation and conversation intelligence terms, each with a full definition.
Turn QA scores and conversation data into per-agent coaching: find patterns in full-coverage data, prioritize, tie every point to evidence, then measure.
A practical guide to measuring customer conversation quality across every channel at scale: define criteria, score automatically, then coach.
A step-by-step guide to move from sampling a few percent of tickets to scoring every customer conversation automatically, with evidence you can trust.
How to measure AI agent performance in customer service: the metrics that matter, scoring against a scorecard, fair AI vs human comparison.
How to QA AI agents and chatbots: build a scorecard, score 100% of AI conversations, keep the grader neutral, and catch AI failure modes.
What conversation intelligence is, how it differs from speech and text analytics, how it works, and how support teams use it to understand 100% of conversations.
Real-time agent assist is software that guides agents live during a conversation with suggested responses, next steps and knowledge. Here is how it works.