root-cause-analysis
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The 95% Blind Spot Every Contact Center Pretends Isn't There
Most contact centers score under 5% of their calls and guess at the rest. Spiral by UJET reads 100% of conversations — and Turo used it to cut handle time by 28 seconds.
Sentiment Is a Thermometer. Root Cause Is the Diagnosis
A mood score can tell you the customer is upset. It cannot tell your product team what to fix—or stop the next avoidable contact from happening.
The 2% Problem: Why Your QA Scorecard Isn't Telling You About Your Customers
Traditional contact center QA reviews roughly 2% of calls and reports the result as if it describes the whole operation. This page frames the choice between sampling and reading 100% of conversations as an architectural decision rather than a feature difference, comparing how CallMiner, NICE Nexidia, Qualtrics XM Discover, and Spiral by UJET handle coverage, discovery of unknown issues, setup time, and whether output reaches a product team or stops at a QA scorecard. The core argument: a 2% sample tells you about your scorecard, not about your customers.