Tech B2B & B2C Researcher
Research that moves markets and shapes strategy
10+ years turning complex data into decisions that drive growth across B2B SaaS, enterprise tech, and consumer brands.
10+ years turning complex data into decisions that drive growth across B2B SaaS, enterprise tech, and consumer brands.
I'm a mixed-methods researcher with 10+ years building research programs that drive product strategy, GTM decisions, and business impact. I specialize in connecting customer insight to measurable outcomes and enabling cross-functional teams to use research in their own decision-making.
My work has spanned global enterprise research at Asana (where I also built AI-powered research tools and platforms), scalable research operations at quantilope, and Fortune 500 client engagements at LRW (now Material). I hold a B.S. in Cognitive Neuroscience from Brown University.
I'm exploring research roles in B2B SaaS, enterprise technology, and consumer/entertainment.
B.S. Cognitive Neuroscience, Brown University
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Led end-to-end quantitative research identifying the adoption behaviors that predict churn risk. Findings drove the "Stop the Churn" and "Right for Me" initiatives, and led to increased investment in customer experience, specifically implementation support. This work directly led to the development of foundational service plans.
Researched the relationship between friction in the adoption journey and long-term expansion. Discovered that adoption friction impacts growth more than retention: users stick despite late challenges, but won't expand. Presented to the full marketing org and workshopped 12 workstreams. Findings prioritized more change management resources in both Product and CX.
Designed and fielded quantitative research to derive customer ROI metrics including time savings, efficiency gains, and productivity impact by use case, including AI-powered in-product features. Built the methodology for percentile-based outcome ranges (25th, median, 75th) used in executive materials and sales enablement.
Built market sizing models and competitive intelligence decks for the CMO, combining GWI syndicated data with primary research to quantify opportunity across knowledge worker segments. Directly informed vertical prioritization and ICP strategy.
Advocated for industry-specific (not just functional) product positioning. Elevated Government from Tier 3 to Tier 2 priority and defended Resource Management against deprioritization. Partnered with PMM to scope targeted campaigns.
Led research evaluating Asana's right to win with R&D/developer audiences against Jira and Linear, with a focus on AI-powered workflows for startups and SMBs. Assessed competitive perceptions, tool consolidation appetite, and jobs-to-be-done to deliver a go/no-go recommendation for H2 product investment.
Designed and coordinated international qualitative research across France, Germany, Australia, and Singapore. Synthesized cross-market insights to inform product and positioning strategy for non-US markets.
Managed global research operations and client delivery. Built repeatable frameworks balancing rigor with speed for enterprise and mid-market clients.
Delivered mixed-methods customer experience research for Disney, Mattel, PlayStation, and other Fortune 500 clients. Translated behavioral data into brand and product strategy across entertainment, toys, and gaming.
Partnered with a VP of Product Management to build a robust, quantitative measure of attitudes and beliefs about Asana's features, including new AI capabilities. Designed a feature funnel showing where adoption broke down (awareness, activation, retention, expansion) and developed AI-specific metrics like perceived criticality, differentiation vs. market alternatives, and unique value perception. Expanded in subsequent waves to include competitive benchmarking.
Conducted a KANO analysis to determine which features were needed for the minimum lovable product for a new AI-powered developer offering focused on startups and SMBs. Results served as direct inputs into the MLP definition, shaping what shipped.
Researched what offerings and interventions to present in the churn and downgrade user flow to maximize both user retention and ARR preservation. Identified the specific moments and offers most likely to save accounts at the point of cancellation.
Built an internal AI chatbot that made the team's research repository searchable and accessible to stakeholders across the company. Instead of digging through decks or waiting for a researcher to pull findings, anyone could query past insights in natural language and get relevant results instantly.
Designed and deployed AI agents that automated repeatable parts of the research workflow, scaling operational tasks across the team's process. Reduced manual effort on data processing, report templating, and insight synthesis so researchers could focus on strategic work.
Served as product manager to take a highly-requested highlighter tool from concept to launch. Identified the need from customer feedback, defined requirements, and partnered with Design and Engineering to ship the feature. Managed the full product lifecycle from 0→1.
I'm currently exploring new opportunities in senior research roles. If you're building a research-driven team or just want to chat about the industry, I'd love to hear from you.