I work with teams in workplace health and safety, organisational psychology, and HR to help them use their data to make evidence-informed decisions about how they support their people. I combine over a decade of research into motivation, fatigue, and wellbeing with deep expertise in advanced analytics. This approach produces insights that are grounded in both the science of people at work and the analytical rigour needed to uncover what's really going on in your data.
Deploy validated survey instruments and statistical models to measure psychosocial risk, benchmark against industry norms, and produce evidence for regulators and leadership.
Model how different incident types predict each other over time to identify which categories are the strongest leading indicators of future harm.
Use statistical models of your data to reveal which candidate qualities actually predict long-term performance and retention.
Develop models to assess whether programs truly improved performance, who benefited most, and whether the investment paid off.
Use predictive analytics to show who is at risk of leaving, why, and what targeted strategies can keep them engaged.
Build automated natural language tools to analyse employee feedback at scale, surfacing key themes and sentiment quickly, cost-effectively, and on an ongoing basis.
If you're interested in collaborating, I'd love to hear from you.
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