Hello!
This month’s updates are all about helping you better understand how work is actually happening across your organization, especially as AI adoption accelerates.
We’ve added new data connectors, launched a dashboard to compare how AI is changing work patterns, and introduced new ways to visualize where time is really going during the day. You’ll also find a step-by-step demo to help you turn business questions into clear answers inside the platform.
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We've added three new data connectors — Claude, Claude Code, and GitLab. Expanding the ways you can bring work activity data into Worklytics and understand how your teams actually operate.
Coming soon: We're also adding a Gong AI connector, giving revenue teams a way to connect conversation intelligence data to broader work patterns.
You can always find the latest list of all integrations and connections Worklytics has here.
Not sure where to start when you open the dashboard? Our new 'Getting Insight' tutorial video walks you through how to take a real business question and find the answer using Worklytics — step by step.
This is a great resource for:
As AI tool adoption grows, teams are naturally asking: does using AI actually change how people work? Our new AI Usage & Work Patterns Dashboard helps you find out.
This dashboard lets you compare work behaviors across teams with high vs. low AI tool usage, giving you a clearer picture of what's actually shifting.
You can now explore questions like:
This dashboard is now available to customers with AI data connectors live.
Most teams have a sense that the workday feels fragmented — but now you can actually see it. We've added a new interactive chart to the Focus Time dashboard that shows a dynamic, data-driven view of what a typical employee's day looks like at your organization, built from your real data.
You can now:
