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Talkdesk CXA | INTERACTION ANALYTICS

Actionable customer insights with Talkdesk Interaction Analytics.

Analyze every customer interaction with AI to surface insights that guide automation, support agents, and improve performance across human and AI-powered conversations.

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THE CHALLENGE

Every interaction is captured. Few are ever reviewed.

Manual QA and small samples leave teams without visibility, consistent feedback, or a clear view of where automation would help.

THE SOLUTION

AI analyzes every conversation.

It uncovers intent, sentiment and friction, automates quality evaluations, and shows where to guide agents or automate — across human and AI-agent conversations.

How Talkdesk Interaction Analytics turns every conversation into action.

Cxa Interaction Analytics Dasboard

Discover the real root causes of customer issues.

Generative AI uncovers unknown unknowns in your conversation data, helping you understand behavior, friction points, and automation opportunities across different channels by automatically detecting and visualizing topic and mood trends.

Mood Insights

Turn conversational intelligence into emotional intelligence.

Understand how your customers are feeling and why they’re feeling that way. Go beyond traditional sentiment analysis by capturing richer, more nuanced mood insights that tell you why a customer’s mood shifted over the course of an interaction so you can address issues more effectively.

Interaction Analytics Cx Sensors Create

Speed up response times to critical issues.

Use Talkdesk CX Sensors to t​rigger alerts when specific preset conditions occur to proactively address issues 24/7 and avoid escalations. Automate alerts on your preferred channel and take action on urgent issues in third-party systems.

CX Sensors is sold separately from Interaction Analytics.

See Interaction Analytics in action.

Explore how AI analysis of every interaction helps teams find root causes, guide agents, and improve CX.

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Hear how CAI proactively improves the customer experience.

Cai Tom Grosso

We're able to see all aspects of the intents that are coming in through these phone calls. Why do I wanna know what those intents are? Because I wanna know what people are calling about. Do we have a major issue on our hands, or is it just your normal day to day churn? Right? And what I've been able to do is speed up our our incident management process by setting up the CX sensors. And those sensors fire out notifications when certain intents are hit within a certain amount of time. So, let's say there's a there's a Citrix outage going on in the environment. Our CX analytics functionality is reading the intents on these phone calls. Transcribing them. And when it hits a certain threshold, we're getting a notification that says, hey, there might be a larger issue in your environment going on right now. So, it's getting proactive versus reactive, which is where we historically have sat, on the reactive side. And what I mean by that is the old school way of being able to tell, old school to us now, to be able to tell what's going on in the environment is, oh, wow. The call queue just went from three calls to fifty calls. Something's gotta be up. Right? Something's gotta be wrong, or going into your... you know, your ITSM tool and seeing trending tickets. Right? So, Talkdesk in that regard has enabled us to be more proactive versus reactive as it relates to major incidents, which is a big deal for our clients. Because that typically has productivity impact, financial impact, whatever the case may be. It depends on the system that may be going through some degradation. The other the other ask, functionalities that we've been leveraged is Agent Assist.

British Columbia Lottery Corporation elevates their CX with AI.

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+90%

CSAT after deploying AI.
“When we first started enhancing our tech stack and getting more insight, our customer experience scoring was in the mid to low 80s. Implementing what we learned with Talkdesk speech analytics and sentiment analysis, we crept up to the 85–88 range, and with the infusion of AI we have surpassed the 90 mark.”

Martin Lampman, Director of Customer Care Operations at BCLC

Talkdesk Interaction Analytics features

CX insights

Combine conversational intelligence with operational metrics to reveal which trends across conversations, agents, and automation shape customer experience— so teams know where to focus.

Automation mining

Analyze conversations and screen recordings to uncover repeatable agent workflows, then estimate the impact of automating them before anything is deployed.

Performance dashboards

Monitor sentiment, intent trends, and interaction performance across human and AI-powered conversations in one place, so supervisors see what’s working and what needs attention.

Transcription cards

Surface call context, customer intent, and sentiment from each transcription with speech-to-text and natural language processing, so reviewers get the key details without reading every word.

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Optimize journeys for the hybrid workforce.

Use insights from Interaction Analytics to balance automation and human expertise. Empower supervisors to decide where AI agents handle tasks and where live agents deliver the most value — reducing costs while enhancing CX.

Interaction Analytics FAQs.

Customer Interaction Analytics, also known as Interaction Analytics or Speech Analytics, is a technology used in contact centers to analyze and gain insights from customer interactions, whether they occur over the phone, through chat, email, or other communication channels. This analysis is typically done through AI-powered speech analytics software that can transcribe, categorize, and assess customer interactions.

AI can automate the transcription and processing of large volumes of customer interactions, including phone calls, chat logs, and emails. AI can speed up the analysis process and make it feasible to analyze a vast amount of data in real time. Many interaction analytics tools use AI-powered sentiment analysis to detect customer emotions, such as satisfaction, frustration, or urgency, with high accuracy. This helps contact centers gauge customer sentiment and respond appropriately.

Adopting speech analytics software provides several benefits for contact centers. Using AI, speech analytics software identifies the root causes of common customer issues, and enables contact centers to address underlying customer service problems proactively. Speech analytics can also extract insights from customer conversations to help supervisors gather valuable feedback about their customer experience without having to rely on feedback surveys. Using speech analytics can also greatly improve operational efficiency and reduce contact center costs.

Let us help you create customer experience magic with the power of AI.

Request a demo to see how AI can boost results for your business.