Contact centers generate a massive treasure trove of “voice of the customer” information every day. 7 Conversation Insights puts it to work for your customers, your agents, and your operations and brand. Monitor all interactions involving your human agents and bots, wherever and however they occur. Automatically aggregates and standardizes conversation data—whether it's structured or not, no matter the source or type—and analyzes it for out-of-the-box reporting.
Uncover what’s going well, what isn’t, and what’s coming by understanding customer intent and sentiment, and doing root cause analyses.
Pinpoint which agents need what kind of coaching when they need it to assure quality and improve productivity.
Apply intelligence to address increased call volumes, repeat calls, escalations, transfers, poor resolution rates, and more.
Automate the quality assurance process to identify and address noncompliant conversations before they become problems.
Transform large volumes of unstructured speech data to text, via automatic speech recognition, for additional analysis.
Securely store and index every conversation for later searching and playback to support agent coaching and quality monitoring. Customize the retention period for your specific needs.
Drill down into thousands or even millions of conversations based on such parameters as customer, agent, queue, duration, and more. Derive instant insights from ad hoc analyses.
Search keywords and open text based on what’s unique to your business—such as the mention of your products or your competition’s, a particular season or place name—to surface relevant conversations for further analysis.
Understand how particular agents shape customer sentiment during a call. The most effective agents end interactions that begin negatively—such as with a customer expressing frustration at a problem—with a burst of positive customer sentiment, as when the situation is satisfactorily resolved.
Find common topics across voice and digital interaction channels, and tie them (including multiple topics subsumed in the same sentence) to a sentiment score. Understand your customers’ sentiment about your products, services, support, brand, and more.
Create custom rules to identify and tag the conversations in which your specified topics of interest occur.
Want to know where certain activity occurred at a particular time, say, which states had the highest tech support call volume during an NFL game? Geographic modeling gives you the snapshot in seconds.
Create customizable, role-based dashboards for your stakeholders—such as the executive team and sales and quality leaders—to surface relevant insights.
Understand what they’re saying and how to use it
Analyze enriched customer interaction data to understand customer intent, identify the topics your customers care about, discover and monitor their sentiment, and pinpoint areas you must improve to elevate the omnichannel customer experience.
Analyze what agents communicate to customers in every verbal and text interaction—then automatically score it on key, quality assurance criteria. Even create business rules for specific conversation keywords to flag for additional quality assurance investigation.
Managers access detailed interaction analyses, top agent modelling, automated scoring, and more to identify the best and worst performers as well as to highlight where each excels or falls short—actionable intelligence invaluable for improving performance.
When you combine customer-interaction, journey analytics, and operational systems data, and analyze it from a customer’s perspective in a unified solution, you’ll gain insights for improving operations, product development, marketing and sales, and more.