Quality assurance in contact centers often runs on thin samples and shaky scorecards that quietly erode trust. Agents see QA as risk management, not coaching. When leaders switch to 100% conversation analytics and outcome‑based metrics, QA becomes a source of truth that actually changes behavior and business decisions.
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Expert opinions, candid interviews, and actionable best practices to help customer experience leaders navigate today’s challenges and drive meaningful change.
The obsession with speed is quietly breaking customer experience. When leaders optimize for handle time, containment, and throughput, they train teams to rush past resolution and customers pay the price.
AI that dazzles in the demo but falls apart on the floor has no business running your contact center. The CX AI Reality Standard gives you a simple three-part test to decide when AI has actually earned its place.
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AI progress starts with leadership clarity, not broader alignment language. One priority, real tradeoffs, and visible system changes separate meaningful results from expensive activity.
The contact center that runs on bolt-on AI and disconnected tools has a shelf life. Justin Robbins sat down with Cisco's Vinod Muthukrishnan at Cisco Live 2026 to understand what comes next.
Companies pour money into shaping the customer story, yet friction develops once the real work begins. The problem rarely starts in the brand itself; it takes shape inside the operating model, in how work moves across functions and how handoffs either protect or erode trust.
Work should not work against your people. Justin Robbins challenges leaders who have quietly accepted friction as “just the way it is” and shows them how to redesign the conditions of work, one small, repeatable decision at a time.
Executives keep asking for “simple” service experiences while quietly signing off on architectures that guarantee complexity and Atlassian’s Team ’26 made that contradiction impossible to ignore. This piece breaks down what Atlassian’s AI‑native bets on the Teamwork Graph, Rovo, Dia, and Incident Command Center really mean for who carries the complexity in your organization: your people or your systems.
After the Verint-Calabrio deal, many leaders expected a roadmap fight and a painful consolidation. Instead, Verint chose a different path: deliver AI value quickly across both product lines, reduce migration friction, and help CX leaders focus on outcomes instead of betting everything on one platform future.














