Top Workplace & People Analytics Blog Posts

Discover how GitHub Copilot is transforming developer productivity. Dive into real-world metrics, key insights, and whether AI pair programming is living up to the hype.

Is GitHub Copilot really worth it? This in-depth, metrics-driven analysis unpacks how AI-assisted development translates into real ROI—from faster shipping cycles to better code quality—so you can make informed decisions for your engineering team.

Unlock the true impact of Copilot on your team's productivity. From seamless adoption to measurable efficiency gains, explore smart strategies and metrics to prove success and accelerate ROI.

What if your AI strategy is quietly costing you more than it’s delivering? Discover how an AI impact assessment reveals the blind spots, risks, and untapped potential that could transform your results.

Discover why 2025 marks a turning point for AI adoption in business. Learn how intelligent transformation is reshaping industries—and what you must do now to stay ahead.

Discover how to measure what truly matters—outcomes, adaptability, collaboration, and well-being—with ethical, privacy-first analytics in the age of AI Adoption

Organizations that take strategic approach in AI Adoption are seeing significant gains in productivity, innovation, and market share. Success hinges on leadership buy-in to set the vision, data readiness to fuel AI models, robust infrastructure for scalability, and cultural alignment through training and communication. By avoiding pitfalls like unclear objectives and inflated expectations, and continuously refining their approach, companies can transform AI from a tech experiment into a lasting competitive advantage.

Embracing AI is not just about deploying technology; it’s about ensuring that technology is used effectively by people & is driving improvements. AI-first approach signals a fundamental shift in how companies think about technology and business.

To thrive with AI, organizations need more than tools—they need skills. Discover how leaders can boost AI adoption through literacy, training, and culture.