• A massive global R&D organization needed to rapidly upskill over 400 functional managers. 

• An academic institution offered management training to over 1000 scientists and trainees.

• A new startup needed to quickly upskill new managers during a high-growth phase.

In a training delivered in collaboration with Naledi Saul and Karen Leung, we used the SDTS data-driven Competency Growth Methodology to measure and close training gaps for scientists. 

We also measured managerial blind spots, and utilized longitudinal data to track competency growth overtime.

• 3-fold increase in on-the-job managerial competence 6-12 months post-intervention, 

• 99% of participants reporting increased ability to fulfill leadership responsibilities.

Up to 96% of people surveyed in a drug development group reported experiencing operational drag that negatively impacted their ability to deliver on critical milestones.

Built an delivered a Data-Driven Behavioral Change Strategy focused on 4 pillars: cross-functional decision-making, functional empowerment, collaborative problem-solving, and accountability management.

100% of cross-functional team members reported behavior change, equipping the organization to safeguard vital 2026 pipeline milestones despite reduced headcount.

A customized 2-day Change Management training delivered to a Global Biopharma R&D in collaboration with Naledi Saul and Karen Leung, including cross-functional change management content for scientists.

• Used the SDTS data-driven Competency Growth Methodology and Change Management Competency Model determine impact of training on on-the-job behaviors.

• 75% individual change management competency as a result of the training

• 2-fold increase in competency

• 2-fold increase in coaching capability 

• Reduced their training needs to zero

A National Science Foundation-funded initiative to scale "Workplace Navigation" skills across community college programs nationally. Launched in 2026.

Used the SDTS data-driven Competency Growth Methodology and built a Data-Driven Behavioral Change Strategy to deliver and pivot interventions in real time. 

In Spring 2026, we piloted student assessments and defined the support needed by community college faculty and staff to disseminate the "Workplace Navigation" training to their students. 

Bench scientists at a leading biotech R&D organization required upskilling, but the specific needs varied wildly. The organization was focused on preventing training waste.

• Built an Data-Driven Competency Model to measure baseline competency gaps.

• Used the SDTS data-driven Competency Growth Methodology to recommend a learning strategy. 

• Built a custom Personalized Learning Plan app to allow scientists to build a data-driven personalized training plan.

This allowed the organization to accurately identify specific skill gaps and map individuals to precision learning roadmaps