Most contact centers rely on tagged samples and static QA workflows, missing real reasons behind churn, repeat calls, and agent gaps. Clootrack solves this with AI-powered call analytics that reveal true call drivers, sentiment shifts, and coaching opportunities from 100% of your conversations. This interactive demo shows how teams can uncover delivery delays, return issues, and agent performance insights, without manual tagging or setup. Analyze call transcripts, track outcomes, and customize agent QA views with zero guesswork.
Traditional QA workflows often rely on small samples and manual tagging, missing the full picture. AI can now process every call transcript at scale, identifying root causes, sentiment shifts, and recurring call drivers without human intervention. This ensures nothing gets overlooked, from delivery delays to agent misunderstandings. Clootrack enables teams to analyze 100% of calls with no tagging or setup, delivering complete and real-time call intelligence.
Evaluating agent performance across thousands of calls requires more than random sampling or subjective scoring. The best approach is to use AI to track agent behavior across actual conversations, measuring empathy, resolution quality, and policy compliance at scale. Clootrack maps agent actions to customer outcomes, helping teams uncover high performers, detect coaching gaps, and customize QA scoring to their exact SOPs.
AI identifies sentiment by analyzing tone, keywords, resolution outcomes, and emotional cues across call transcripts. Advanced models break down feedback by issue type and customer emotion, showing where dissatisfaction spikes or loyalty is earned. Clootrack goes a step further by linking sentiment to specific call stages, surfacing the “why” behind sentiment changes for faster CX decisions.
AI tools can automate QA by analyzing full transcripts against predefined business rules, eliminating the need to listen to calls or tag them manually. These tools flag deviations, evaluate conversation quality, and surface coaching themes automatically. Clootrack’s QA automation system uses customizable logic and real call data to deliver agent insights that align with your internal frameworks.
Clootrack is one of the leading tools that helps support and CX teams uncover true call drivers by analyzing 100% of customer conversations, without relying on tagging, sampling, or disposition codes. Its unsupervised AI pinpoints the real reasons behind customer calls, from delivery delays to agent performance gaps, by structuring transcripts into themes, sub-themes, and sentiment patterns.
Other tools in this space include Observe.AI, which focuses on agent performance and QA automation, CallMiner, known for deep speech analytics, and Tethr, which emphasizes actionable intelligence from voice data. However, Clootrack stands out by linking each insight directly to transcripts and customer sentiment, offering contextual clarity and actionable call driver intelligence at scale.
This makes it ideal for brands seeking to eliminate guesswork and prioritize what truly impacts customer satisfaction and churn.
To reduce frustration, brands must identify exactly where expectations break—whether it’s delayed orders, poor agent responses, or lack of clarity. AI helps isolate these friction points by analyzing full transcripts and highlighting recurring service gaps. Clootrack empowers CX teams to track the emotional intensity behind every interaction and target the issues that matter most to customers.
The most effective way to extract voice of customer (VoC) insights is to combine full call transcript analysis with AI-driven segmentation. This approach uncovers hidden patterns in complaints, praise, and inquiries across agents, issues, and time. Clootrack’s platform does this automatically, turning unstructured call center data into structured VoC insights that drive real CX and operational decisions.
