About Measure Next
Measure Next provides strategic guidance, performance-based assessment system evaluation and design, and research support to organizations evaluating and strengthening workforce skills, verifying or certifying competency, and evaluating performance. The practice connects human measurement expertise with learning, assessment, product, data, and engineering teams to improve assessment systems, processes, and outcomes.
Diane Talley, PhD
Diane Talley brings psychometric expertise and a systems perspective to how organizations assess and develop workforce skills and verify competency for high-stakes decisions. Her experience includes evaluating and designing assessment systems around real performance and collaborating with data and technology teams at Meta.
As AI reshapes work, she helps organizations examine what learning and performance data can—and cannot—support, with a commitment to valid interpretations, reliable measures, and fair decisions.
Research & writing
Explore a research collaboration
I’m interested in what happens as AI becomes part of how people learn, work, and demonstrate their skills. How can AI help learning and workforce tools capture useful evidence of performance? What should we check before using that evidence to assess or certify skills? And how might AI change the way we design and conduct those studies?
If you’re exploring one of these questions or looking for a collaborator with expertise in human measurement, I’d like to hear what you’re working on.
Share a research idea