We’re excited to launch a major update to let you handle customer support at scale: A new sync engine with a 50ms UI, a redesign of almost every part of the application, an improved AI Help Center, Agent upgrades, and Reporting.

Since launching customer support in Productlane, many teams have moved all their customer conversations to us. They quickly had thousands of emails, live chat, and Slack messages in their workspace, and the initial load time became slower than we wanted it to be. 

That's why we decided to rebuild major parts of our architecture so the app can load only the data needed at the moment. It took a lot of time, but it was worth it. The backend is much more robust now, and the app is incredibly fast.

Even our largest workspaces now load in under 1.5 seconds with an avg. response time of 50ms. Big shoutout to our friends from 

 helping us implement this incredible sync engine.

This update comes with a redesign that touches almost every part of Productlane. The inbox, help center, roadmap, support portal, and changelog are now heavily simplified, have a new look, increased contrast, and optimized typography. 

Your feedback portal is now called “Requests” and is simpler to use. We replaced the form on the left that filtered existing requests while you typed with a new request button and a search. 

The Help Center has a refreshed design with deeper AI support. The Agent now sits at the bottom of every article, ready to answer follow-up questions immediately.

Support articles inside the widget use the same AI bar, and each article includes a new button to let you copy it as Markdown for LLMs, making your content easier to index and reuse.

A new Reporting view helps you ensure a great customer experience as you scale your support. It gives you a clear view of your team's performance across the entire support workflow, with a focus on your AI agent's resolution rate.

It includes what was previously on your tags page and adds the most relevant customer support metrics, such as first response, time to resolution, and time from request to implementation. The agent performance shows how each teammate is doing: workload, conversation count, and response times in one view.

We upgraded the model behind our AI Agent. It answers more accurately, resolves more cases on the first reply, and stays fast. It also handles multi-step conversations better, remembers context more reliably, and manages complex questions better.

Productlane changelog

Scale Update