Qualtrics unveils AI tools to fix customer issues fast

Qualtrics has rolled out new capabilities across its Customer Experience suite aimed at unifying customer feedback in a single view and acting on signals as they arrive.

The update adds more data sources, new automation for analysing customer comments, and AI tools that can trigger responses during customer interactions. Qualtrics says the changes help organisations respond faster when experience issues emerge.

Qualtrics points to an industry-wide cost of poor customer experience of USD $3 trillion a year and argues that loyalty depends heavily on how an interaction makes people feel.

Omnichannel intake

A core part of the update is Omnichannel Experience Management, which combines feedback from surveys, contact centres, digital interactions, online reviews, and social channels in a single system.

New connectors pull contact centre data from Genesys, NICE, and Salesforce. Setup uses a guided configuration process rather than bespoke integrations. Qualtrics says deployments can be up to four times faster than before.

Qualtrics has also introduced social listening features that ingest feedback from Facebook and Instagram, aiming to capture sentiment outside surveys and direct service channels.

Text analysis

Qualtrics has updated its text analytics tools, noting that customer experience teams often spend weeks organising free-text feedback through manual tagging and topic modelling.

Its new automated text analytics uses AI to detect and organise topics across channels. Qualtrics says it cuts analysis time from weeks to hours.

Qualtrics describes the output as deterministic and auditable, with consistent classification given the same input. It also says the system adapts to a company's industry and taxonomy without retraining.

Personal Argentina, a telecommunications operator, used the automated text analytics to organise and classify survey data in about an hour, according to Qualtrics, compared with two weeks using its previous manual approach.

"The speed is remarkable, but what really impressed us was how accurately the topics reflected our industry and our specific business," said Eugenia Compagnucci, Head of Design & Technology QA at Personal Argentina.

Reviews and transparency

Qualtrics is also adding tools focused on public perception and published feedback. Competitive Reviews benchmarks locations against nearby competitors and highlights review themes at the local level.

Experience Transparency lets organisations publish first-party feedback on their own websites. Qualtrics says it helps prospective customers see verified customer and patient views before they commit.

Intermountain Health is using Experience Transparency to publish patient feedback on its website, according to Qualtrics.

"By giving consumers access to trusted & verified first-party reviews, before they become patients, and by giving our caregivers visibility into their positive impact, we're strengthening the provider-patient relationship at every touchpoint, because when we listen, learn, and act together, and are transparent, we can foster trust within our communities," said Katie Boemecke, Assistant Vice President of Patient Experience at Intermountain Health.

AI agents

Qualtrics is expanding what it calls Experience Agents-AI-driven tools that act within workflows such as post-service surveys. Qualtrics says they can resolve issues without waiting for a human team to review and route a case.

In preview programmes, organisations have used the agents to address problems before they escalate, according to Qualtrics. The company also says the automation reduces the number of escalations handled by human teams.

TruGreen, a North American lawn care company, has used Experience Agents in post-service surveys, according to Qualtrics. During the first week, TruGreen addressed 51% of customer concerns, cut escalations by more than 30%, and shifted support teams towards more complex cases, the company said.

"At TruGreen trust is our currency, so every client interaction matters. With Qualtrics Experience Agents, we're shifting from reacting to escalations to resolving issues in the moment, empowering our human agents to build deeper client connections. Our client response has been incredibly positive-we are building the foundation for the future of our real-time experience management," said James Bauman, Senior Director of Experience Management & Analytics at TruGreen.

Stanford Health Care is testing Qualtrics' AI features, with an emphasis on supervised use in patient-facing contexts. Qualtrics says Stanford Health Care expects experience agents to translate patient and operational data into targeted actions related to access, coordination, and engagement.

Brad Anderson, President of Products, Engineering, User Experience, and Security at Qualtrics, linked the update to the speed of decision-making expected in customer operations.

"In a world of speed and efficiency, experience is where organisations stand apart. This is why the greatest advantage in business today is the ability to deeply understand customers, and take the right action, for the right person, in the right moment. These new capabilities make it possible, listening to every signal, understanding it in context, and acting in the moment, and they're now accessible to teams of any size."

Outside the company, Bain & Company Partner Phil Sager argued that the challenge is converting insight into operational change.

"Companies don't lose customers for lack of data. They lose them when insights don't translate into action. As AI scales across customer experience, it will amplify the objectives organisations choose to optimise. The leaders pulling ahead are building operating systems grounded in customer value-prioritising fixes based on relationship economics and using automation with discipline to resolve pain points at speed. That's how loyalty becomes a durable competitive advantage."

The new Customer Experience suite capabilities are available now, Qualtrics said. Testing continues at organisations such as Stanford Health Care as they assess how AI-driven workflows fit within existing governance and service models.