Coveo EX Relevance Report Reveals 42% of Information Fails Employees: Too Much Data, Not Enough Relevance
47% report fragmented knowledge remains biggest obstacle to productivity, as frustrated employees say they waste hours daily searching for needed information
, April 29, 2025 /CNW/ - Coveo (TSX: CVO), the leader in AI-Relevance, delivering best-in-class AI-search and generative experiences that maximize business outcomes at every point-of-experience, today announced its fifth annual EX Relevance Report, "The Search for Relevance: Can AI Connect Employees to What Matters?" To explore the critical trends shaping today's employee experiences, Coveo partnered with Arlington Research to survey 4,000 U.S. and U.K. adults who work at companies with 5000+ employees, surfacing the growing frustration with disconnected workplace tools, the importance of effective AI search, and the positive impact that accurate generative AI can have on employee proficiency.
The report sheds light on how inefficient tools leave employees feeling overwhelmed, costing them an average of three hours daily searching for information. With nearly half (49%) also experiencing AI hallucinations, the need for reliable, contextually grounded AI tools is clear. There is an opportunity for enterprises to easily address these issues by adopting smarter, more tailored solutions, like unified digital workplaces and AI-powered knowledge discovery tools.
"Employees are empowered by the potential of advanced tools and intelligent solutions that can boost their productivity and well-being," said John Grosshans, COO at Coveo. "In an age where artificial intelligence is more accessible than ever, it's essential to harness this potential to ensure employees can leverage it to its fullest. Relevance is key: employees need timely, tailored information through the channels they prefer. This report highlights how AI-search, unified knowledge platforms, and generative AI tools that are grounded in user context can help employees quickly find what they need, enhancing efficiency and creating a more seamless, rewarding work experience."
Key findings include:
Disconnected tools are fueling employee burnout: 47% of employees feel burned out or frustrated when they don't have the right tools or information to achieve success in their roles, up 12% from last year. In addition, 47% cited that the information they need is stored across multiple applications, which continues to be the largest hurdle for employees year-over-year.
Excessive search times and irrelevant results cripple productivity, especially for Gen Z and Millennials: Employees report wasting an average of three hours per day searching for information, and say 42% of the information they sift through is irrelevant to their role. Younger demographics like Gen Z (30%) and Millennials (29%) reported higher search times. On average, employees search four different data sources to find information to do their jobs effectively. Compounding the problem, 25% of employees don't even know where to begin their search, highlighting potential gaps in employee training.
GenAI investment stretches throughout the enterprise: While customer self-service remained the top application for generative AI exploration at 34%, numerous other use cases were noted: knowledge management (28%), employee productivity (26%), and self-service for data and analytics (26%) rounding out the top four. And 42% of respondents agree that their company has invested in GenAI tech and training to help them do their job better.
The full report is now available for download.
About Coveo
Coveo brings superior AI-Relevance to every point-of-experience, transforming how enterprises connect with their customers and employees to maximize business outcomes.
Relevance is about moving from persona to person, the degree to which the enterprise-wide content, products, recommendations, and advice presented to a person online aligns easily with their context, needs, preferences, behavior and intent, setting the competitive experience gold standard. Every person's journey is unique, and only AI can solve the complexity of tailoring experiences across massive, diverse audiences and large volumes and variety of content and products.
Our Coveo AI-Relevance Platform™ ️enables enterprises to deliver hyper-personalization at every point-of-experience, unifying all their data securely, with the highest level of contextual and prescriptive accuracy while simultaneously optimizing business outcomes.
Coveo brings AI-Relevance to the digital experiences of many of the world's premier and most innovative brands, serving millions of people across billions of interactions.
What we believe is bold: Digital is table stakes, Relevance is not. It's the only way to win in the digital age.
The Coveo AI-Relevance Platform™ is ISO 27001 and ISO 27018 certified, SOC2 compliant, HIPAA compatible, with a 99.999% SLA available. We are a Salesforce ISV Partner, an SAP EndorsedⓇ App, AWS ISV Accelerate Program member, an Adobe Gold Partner, MACH Alliance member, Optimizely Partner, Shopify Partner, and a Genesys AppFoundryⓇ ISV Partner.Coveo is a trademark of Coveo Solutions Inc.
Stay up to date on the latest Coveo news and content by subscribing to the Coveo blog, and following Coveo on LinkedIn and YouTube.
Forward-Looking Information
This press release contains "forward-looking information" and "forward-looking statements" within the meaning of applicable securities laws (collectively, "forward-looking information"). This forward-looking information is identified by the use of terms and phrases such as "may", "would", "should", "could", "might", "will", "achieve", "occur", "expect", "intend", "estimate", "anticipate", "plan", "foresee", "believe", "continue", "target", "opportunity", "strategy", "scheduled", "outlook", "forecast", "projection", or "prospect", the negative of these terms and similar terminology, including references to assumptions, although not all forward-looking information contains these terms and phrases. In addition, any statements that refer to expectations, intentions, projections, or other characterizations of future events or circumstances contain forward-looking information. Statements containing forward-looking information are not historical facts but instead represent management's expectations, estimates, and projections regarding future events or circumstances.
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