Productivity Analytics: Optimising Workforce Design

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Practical lessons from Corning’s plants and R&D labs

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This session explores

  • Defining 4–6 productivity measures that leaders accept and use
  • Plant case: onboarding, training, and staffing that improved output
  • R&D case: using ONA to enhance “scientific productivity” and cross-lab collaboration
  • Workforce design choices: balancing roles, skills, and collaboration patterns.

Why this matters

Organisations face pressure to do more with limited resources while protecting quality and innovation. Productivity analytics offers a way forward – blending HR, operational, and collaboration data to guide smarter workforce design. Corning’s approach shows how to move from measurement to action, linking workforce choices to both immediate efficiency and long-term capability.

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