Teams | Collaboration | Customer Service | Project Management

How AI is Changing Support KPIs in 2026 with Eric Nelson, Stylo

AI is changing support faster than most teams can keep up. In this talk from our Geckoboard Breakfast event, Eric Nelson, CEO and co founder of Stylo, shares what their eighteen-month study reveals about how KPIs are shifting as AI becomes part of day to day operations. Eric covers what happens to CSAT when new models drop, why voice is rising again, and how customers are adapting their expectations. He also breaks down the practical changes teams can make right now from rebuilding knowledge bases for AI context, to tightening KPI cycles from annual plans to 60 or 90 day reviews.

Geckoboard Breakfast 2025 Highlights: AI, reporting trends, and real time visibility

A quick look at the ideas and conversations that shaped our first Geckoboard Breakfast event in London. In this highlights reel you’ll hear customers and partners talk about fast growing data sets, how AI is reshaping support, and why real time visibility still matters for every team. You’ll also see how Geckoboard customers use dashboards day to day including weekly customer facing reports and team wide SLA visibility.

AI prototyping for alignment: The product team's shortcut to "yes, we're building the right thing"

Every product team knows the feeling: You’ve built something technically impressive. The code is clean. The design is polished. The only problem? Nobody wants it. Just 6% of product features generate 80% of click volume on average. That means the vast majority of what teams build — despite months of effort, countless meetings, and significant investment — ends up as digital dust. Teams are building faster than ever before.

Taking AI from silos to systems: How product leaders are transforming work

AI has become part of how product teams think, plan, and create. But too often, these experiments happen in isolation — outside the tools and rituals where work actually gets done. The result is acceleration that looks promising in one corner of the organization but stalls when it needs to scale.

The AI Super Productivity Paradox: More output, same bottlenecks

AI promises a radical leap in productivity. There is evidence that, on an individual level, this promise is being delivered. Employees are completing tasks in minutes that took hours just three years ago. This has fueled massive economic optimism, projecting labor cost savings of up to 25% and potentially affecting almost 10% of current GDP over time. However, this stunning individual acceleration has yet to show up in the bottom line.