CASE STUDIES
How I help teams make fewer, better big bets.
These case studies demonstrate how I help organizations connect customer behavior, product performance, and predictive intelligence to make smarter investment decisions with greater confidence and foresight across the product ecosystem and development lifecycle.
INDEED · 2022
What customer needs & context shape differentiated product investments?
To determine how differentiated customer needs shape what we build and how, I used quantitative segmentation and behavioral modeling to evaluate hiring workflows, customer value, & growth opportunity.
THE IMPACT
Distinguished which customer differences concentrated $1.95B in current value, revealed $1.14B in growth opportunity, and justified 4 differentiated value-realization strategies.
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The problem
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Outcome and what shifted
INDEED · 2022
Which AI recruitment tools should we build & monetize for different needs & maturity?
To decide which AI recruiting tools to build and how to package and monetize them, I used choice modeling and behavioral analysis to evaluate customer value, workflow friction, willingness to pay, and adoption readiness.
THE IMPACT
Quantified $2.5B AI recruitment automation opportunity, revealed 5 behavioral and workflow drivers of customer value, and informed 3+ differentiated monetization tiers.
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Outcome and what shifted
INDEED · 2021
What customer expectations must monetization meet to preserve trust & retention?
To evaluate the risk of underdelivering on customer expectations after shifting to a higher-priced pay-per-performance model, I used CBC and behavioral modeling to identify the quality thresholds where trust, satisfaction, and willingness to use the product deteriorate.
Read my QuantUXCon 2025 talkTHE IMPACT
Identified 4 behavioral model inputs that improved retention prediction accuracy by 18% and defined the minimum value thresholds needed to preserve customer trust, satisfaction, and retention.
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The problem
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Outcome and what shifted
INDEED · 2022-2024
How can organizations measure & act on product experience signals?
To operationalize customer experience measurement at scale, I built ASK’EM: a modular in-product measurement platform that enabled teams to connect experience signals to behavioral and business outcomes.
Read the TechTarget featureTHE IMPACT
Built and scaled a self-service product experience measurement platform used by 2K+ internal users, contributing to 10%+ YoY CSAT improvement and establishing shared GM-level experience OKRs.
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The problem
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Outcome and what shifted
SYLVAN LABS · 2025
Which behavioral signals most reliably predict customer growth & churn?
To improve churn, expansion, and intervention timing prediction, I developed predictive modeling frameworks, behavioral signal pipelines, and machine learning inputs that translated customer activity into adaptive forecasting and recommendation systems.
Watch the UXDX talkTHE IMPACT
Shaped predictive CRM intelligence pipelines that translated behavioral telemetry and account data into adaptive intervention signals, improving forecasting, expansion opportunities, and churn prediction.
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The problem
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Outcome and what shifted
ADOBE · 2026
How do Enterprise Express accounts reach critical mass through value-realization?
To understand how enterprise adoption scales after purchase, I used mixed-methods to identify the workflow, provisioning, and collaboration breakpoints that most influenced activation and paid seat utilization.
THE IMPACT
Shifted enterprise activation from provisioning-focused onboarding to a value-realization model, increasing activation by 15%, informing 6 roadmap initiatives and 1 new FY26 activation metric.
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The problem
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The approach
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Outcome and what shifted
ALVIO · 2026
How can research expertise scale through ai-assisted decision systems?
To scale how advanced quantitative methods are taught and applied, I built AI-assisted research tools that translate product questions into reusable workflows, and guided learning.
THE IMPACT
Built AI-assisted decision systems that transformed advanced methodological expertise into reusable research workflows, helping teams apply complex methods like choice modeling more consistently, efficiently, and at greater scale.
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Process and rationale