The Challenge:
Before partnering with Mavenoid, Eve's technical support team operated in a reactive mode. The small team fielded every inbound request that wasn't tied to a specific department, like feature requests, how-to questions, and deep technical troubleshooting. As Eve launched new products and expanded into Matter and Thread, the volume and complexity of that workload grew quickly. Three main issues stood out:
1. Repetitive, manual FAQ work was eating up the team’s time
"We answered everything manually… it was pure copy-paste," says Ghania Ibelaidene, Technical Support Leader at Eve. With each new device generation, the FAQ surface expanded. Agents spent hours on questions that required no human judgment, leaving less capacity for the high-value technical cases that actually needed them.
2. Product identification added 4-5 minutes to every case
Serial numbers tell Eve's team which device generation and connectivity a customer is running, which is essential context for any meaningful answer. But capturing that information was manual and slow. "Customer opens a case, first thing you do is ask for the serial number. So one interaction lost," Ghania explains. Multiply that by hundreds or thousands of cases and the cost compounds fast.
3. The support experience didn't match the product experience
Roughly 80% of support tickets came in via the Eve app, where customers expected a seamless, mobile-first interaction. Instead they had to leave the app, look up serial numbers, copy-paste them into web forms, and step through category selectors. "For a connected brand like Eve, asking users to leave the app to fill in a form just didn't make sense." There was no FAQ section or self-help in the app or on the website.
Behind all three was a more fundamental problem: Eve's systems (Zendesk, the Prodigy PIM, and the consumer app) lived in isolation. Every ticket required agents to switch tools, hunt for product information, and manually reconcile it against what the customer was describing. That broke the flow for customers and for agents alike.










