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Make the shift from activity-based to results-based talent development programs by applying a comprehensive and scalable evaluation process.

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A look at how to help make leadership development programs successful and deliver amazing ROI numbers.

Best Practices for Leadership Development ROI Studies

July 2025 - TD Magazine

Present quantifiable proof that validates training program success.

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Use this checklist to assess whether your current M&E practice is sound, sustainable, and aligned with business goals.

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Closer look at the results from The Future of Evaluating Learning and Measuring Impact: Improving Skills and Addressing Challenges.

Is your organization equipped to handle the rapid changes brought by artificial intelligence (AI) and digital transformation, and how can your team stay agile and responsive while enhancing efficiency? For HR and talent managers, asking these types of questions is crucial to staying ahead of the rapidly changing work environment. It ensures that the organizations we support remain competitive, that our teams are equipped with new and necessary skills, and that the workforce at large can effectively navigate the complexities of change and modernization. Understanding and preparing for how to keep up with the transformative pace of changing technology and modernization is essential for driving organizational success.But what does this really mean for HR and talent managers and where should we start?Enhancing Data LiteracyIn the era of digital transformation, data literacy is no longer a luxury but a necessity. Organizations must implement the right kinds of training programs to enhance data literacy across all levels—regardless of job function and level of seniority. This ensures that everyone, from entry-level employees to top executives, can understand and leverage data effectively by encouraging a culture where decisions are based on data insights rather than intuition (or assumptions)—leading to more accurate and efficient outcomes.Fostering Agile TeamsAgility is key to staying responsive in a rapidly changing environment by improving flexibility and responsiveness. Creating cross-functional teams that bring together diverse skill sets promotes collaboration and innovation, enabling the organization to tackle complex challenges more effectively is a win in the current and evolving work environment. A focus on strengthening agility as a competency can help teams adapt quickly to rapid changes and deliver incremental improvements.Leveraging Generative AIBy automating routine tasks, generative AI can free up human resources professionals for more strategic activities and can provide insights that inform strategic decisions, leading to more effective governance, and better public service delivery. A win for the workforce and the taxpayers, both.Practical Tips for Getting Started Start small and scale: Begin with pilot projects to test how to best use generative AI in specific functional areas. Use the insights gained to scale successful initiatives across the organization.Foster a culture of curiosity and innovation: Encourage employees to test and experiment with generative AI and then share their successes and challenges. This can lead to innovative uses of AI that drive efficiency and productivity.Monitor and measure impact: Establish clear metrics to track the impact on workforce efficiency and decision making and use these metrics to continuously refine and improve change management, technological, and AI initiatives.Enhancing EfficiencyImplementing generative AI can significantly boost workforce efficiency. Organizations that have adopted it report up to a 30 percent increase in productivity due to automation of routine tasks that can save employees an average of 20 hours per month—ultimately allowing teams to redirect the time and energy toward innovation and problem-solving. These improvements enhance operational efficiency and contribute to a more dynamic and responsive organizational culture.A Focus on the FutureIn an era where efficiency, modernization, and cost savings are paramount, leveraging generative AI and fostering a culture of continuous learning and agility can transform any organization. For the public sector, this transformation is particularly critical as it seeks to restructure and redesign new public service models. By embracing data literacy, adopting agile methodologies, and investing in upskilling and reskilling, public sector organizations can drive productivity and deliver more efficient outcomes.As public sector organizations look across the enterprise to innovate and improve, the integration of generative AI and agile practices will be key to building resilient, responsive, and efficient public service models. This approach not only enhances operational efficiency but also fosters a dynamic and forward-thinking organizational culture, ultimately driving better outcomes for the communities they serve.By focusing on these strategies, HR and talent managers can ensure their organizations are well-equipped to navigate the complexities of modernization, remain competitive, and fully leverage the benefits of generative AI as leaders look to redesign the future of public service to become more efficient, cost effective, and meaningful than ever before.

Smart Governance: Redefining the Business of Government With Data Literacy and Agile Teams

May 2025 - TD Magazine

Organizations must update their approach to data collection.

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