I build and scale research organisations that turn ambiguity into strategic clarity and measurable growth. With 12+ years of leadership across B2B, B2B2C, SaaS, marketplaces, hardware, and AI-enabled products in North America, APAC and Europe — I specialise in shipping, post-purchase, logistics ecosystems, and enterprise-scale customer journeys.
My work brings together behavioural science, quantitative rigor and product analytics to deliver actionable insights that power decisions and fuel growth. I partner directly with C-suite and VP-level leaders (CPO, VP Product, PMM, Design, Analytics) to translate research into roadmap, monetisation and GTM strategy.
I start by clarifying what we’re solving and why it matters.This means aligning with stakeholders, defining success metrics, and translating vague questions into actionable hypotheses.
→ Frameworks used: Jobs-to-be-Done, Behavioral Diagnosis, or Causal Mapping.
I build the right research model — balancing rigor with speed.This could mean experimental design, mixed methods, or scrappy field validation. Every study ladders to a decision or business KPI.
→ Methods: A/B testing, quant+qual triangulation, rapid prototyping, ML model evaluation.
Research isn’t done until it drives action.I synthesize data into narratives that influence product, marketing, and GTM — ensuring insights are translated into design and roadmap priorities.
→ Artifacts: Behavioral frameworks, strategy briefs, experiment playbooks, leadership readouts.
I close the loop by embedding learnings into systems — from experimentation frameworks to reusable templates and vendor ops models.
→ Outcome: Teams make faster, better decisions without redoing the same research twice.