Worklytics Product Updates - May

Hello!

This month's Worklytics updates make it easier to see what's happening across your organization and turn behavioral data into clear, targeted action—from a new pulse-check landing page to deeper visibility into how AI is shaping work.

TL;DR — What's New (and Why It Matters)

• 📊 Get a quick pulse on organizational health → New Workplace Insights Homepage
• 🤖 Decode how your team is actually using AI → AI Task Classification Insights (Alpha)
• 🧑‍💻 See how AI usage shifts developer output → New AI Impact on Developer Productivity Dashboard
• 🎯 Pinpoint the behaviors driving sentiment → New Survey Exploration Dashboard

Scroll on for details 👇

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📊 Get a Quick Pulse on Organizational Health

New Workplace Insights Homepage

How healthy is your organization right now—and where should you actually look first?

The new Workplace Insights Homepage is a single pulse-check across work patterns, meeting culture, collaboration, and manager load. Metrics are scored against recommended guidelines and benchmarked to peer companies, where relevant. You can now:

• Compare focus time and fragmented time to recommended ranges
• Track meeting fatigue and recurring load against peer benchmarks
• Spot manager load and collaboration shifts before they become problems

Check out the new homepage in your Worklytics Dashboard!

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🤖 Decode How Your Team Is Actually Using AI

AI Task Classification Insights (Alpha)

Knowing how much AI is being used is one thing—knowing what it's being used for is what makes it actionable.

We're piloting a new capability that classifies AI prompts into use-case categories—like email authoring, analysis, code generation, and content creation—then combines them with adjacent events and metadata to show how AI is being applied across functions.

This helps you:

• See AI task distribution across functions like Sales, Engineering, and Finance
• Spot gaps and opportunities where AI could shift to higher-leverage work
• Build a foundation for measuring AI ROI by task, not just by tool

This is currently in alpha. Respond to this email if you'd like to learn more or pilot it with your organization.

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🧑‍💻 See How AI Usage Shifts Developer Output

New AI Impact on Developer Productivity Dashboard

Does using AI actually change how developers write, review, and ship code?

Compare GitHub metrics across AI usage cohorts—Heavy, Moderate, Low, and No AI Usage—to see whether AI adoption is shifting engineering output, and where to watch for quality risk.

With this dashboard, you can:

• Compare output and PR volume across AI usage cohorts
• Spot distribution shifts, not just averages, with per-person views
• Pair volume with review and merge quality to confirm pace is sustainable

Check out the new dashboard in your Worklytics Dashboard!

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🎯 Pinpoint the Behaviors Driving Sentiment

New Survey Exploration Dashboard

Survey data can be hard to act on—you see the score move, but not what's causing it.

The new Survey Exploration Dashboard surfaces the strongest relationships between sentiment and measurable work patterns, so you can spot which behaviors actually move the needle—and start changing them without waiting for the next survey cycle.

You can now explore questions like:

• Which survey questions are most actionable, based on the breadth and strength of their correlations
• Which work patterns drive a specific question, and in what direction
• How metrics differ between high and low survey responders

Check out the new dashboard in your Worklytics Dashboard!

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If you'd like a walkthrough of any of these updates, or want help rolling them out across your organization, just reply—we're happy to help.