Worklytics

Worklytics

Analytics on AI and Productivity

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@worklytics1
Published on Dec 12, 2025
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How AI and people discover Worklytics on PeerPush

Last AI readLast AI readHow long ago an AI crawler last read this listing.
31 hours ago
  • ChatGPT

6 AI crawlers in the last 30 days

Time since an AI crawler last read this listing. 6 AI crawlers read it in the last 30 days.
Live AI conversations 30dLive AI fetchesReads that happened live while an AI assistant was answering a real user question, not routine background crawling.
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About Worklytics

Worklytics is a workplace analytics platform that helps organizations understand and improve team productivity, collaboration, and employee experience using data from workplace tools. It aggregates and analyzes behavioral data from systems like email, calendars, and collaboration apps, while protecting individual privacy, to deliver insights that drive performance and organizational health. The platform empowers leaders to make evidence-based decisions about work patterns, management practices, and organizational effectiveness. Key Features - Employee AI Adoption Metrics: Measure how employees and teams are using AI tools across workflows to track adoption, identify usage trends, and assess productivity impact. - Benchmarks & Comparisons: Compare collaboration and productivity metrics against industry or internal benchmarks to highlight strengths and improvement areas. - Meeting Effectiveness: Analyze meeting patterns, duration, and participation to reduce wasted time and improve collaboration quality. - Organizational Network Insights: Visualize how teams connect and collaborate across functions to uncover silos, strengthen cross-team relationships, and improve organizational agility. Benefits - Data-Driven Decision Making: Empower leaders with evidence-based insights to optimize how work gets done and guide strategic improvements. - Improved Productivity: Identify inefficiencies in meetings, workflows, and collaboration patterns to help teams focus on high-impact work. - Enhanced Employee Experience: Reduce overload and improve balance by uncovering factors that affect engagement and well-being. - Faster AI Adoption: Accelerate the responsible rollout of AI tools by tracking adoption trends and supporting teams where uptake is lagging.

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B
@bailey

Awesome landing page!