At Sylvan Labs I advise on predictive modeling and causal architecture for a post-sales CRM platform focused on risk, retention, and expansion signals.

I partner with the executive team to design structural and Bayesian models that forecast risk and opportunity, and to embed those signals into workflows that guide CS prioritization and product investment.

At the UXR Institute I design applied quantitative courses that help practitioners build confidence across the full spectrum of quant work, from instrumentation and survey design to modeling, diagnostics, and storytelling.

Each cohort is structured around execution. We use real artifacts, guided practice, and targeted critique so students not only understand the methods, but can reliably select, implement, and defend them at different stages of the product lifecycle.

Through a foundational discovery partnership with Adobe, I am leading work on the Adobe Express suite to clarify who the customer is, how value flows across segments, and what “quality” should mean for enterprise-scale teamwork.

The engagement focuses on building a durable foundational understanding, connecting user definitions, value drivers, and experience standards to inform product strategy, enterprise adoption, and long-term success criteria.

At GLG I served as a strategic partner to executives and research leaders facing complex survey and decision problems across markets and industries.

My work centered on framing the right questions, translating ambiguous business goals into rigorous study designs, and selecting methods that yield credible, decision-ready guidance, helping clients move from “what people said” to evidence they could confidently act on.

At Splunk, I unified product telemetry, in-product feedback, and performance signals into an end-to-end product experience measurement.

This clarified product health, surfaced leading indicators of risk and value realization, and enabled teams to improve customer satisfaction by 10% and retention by 12% YoY.

At Indeed, I created and scaled ASK’EM, an in-product decision platform with journey-based signals used by ~2,000 internal stakeholders.

I led a cross-functional team of 11 to align UX, product, and GTM teams around shared metrics that supported forecasting, personalization, and roadmap decisions. I also shaped the three-year automation strategy by defining $2.5B+ in opportunity and recommending what to build through customer research, TAM analysis, and behavioral modeling.

At GLG I helped build the survey analytics and reporting function that combined applied research, modeling, and storytelling for executives and clients across verticals.

By standardizing how insights were produced and delivered, the team helped drive more than $10M in annual growth and made data a more reliable input to product, positioning, and growth decisions.