Jul 2024 - Present

Led company-wide research and evidence strategy across ten SaaS product lines serving millions of users.

Built scalable systems connecting behavioral data, user insights, and market intelligence to inform product direction, marketing strategy, and executive decision-making.

Directed mixed-methods studies aligning evaluation questions to theories of change and strategic learning goals used in quarterly and annual planning.

Built research and evaluation frameworks integrating user outcomes, equity indicators, and product metrics to guide executive roadmaps and M&A discussions.

Partnered with Johns Hopkins University on the evaluation of youth suicide-prevention initiatives — findings shared at national conferences and submitted for peer review. Translated a complex academic study into a one-sentence marketable claim that maintained rigor while appealing to buyer audiences.

Improved lead-form conversions by 150% by developing and testing research-backed claims.

Established an internal claims dashboard equipping teams with self-serve, research-backed statements, standardizing rigor across product, marketing, and sales.

Led ongoing brand health, product-market fit, and rebrand resonance studies combining quantitative tracking with qualitative insights to refine positioning and creative strategy.

Designed and led internal workshops on Generative AI, teaching teams how to build custom GPTs, craft effective prompts, and integrate AI tools to enhance workflows and decision-making.

Institutionalized repositories, taxonomies, and data governance practices to accelerate the integration of insights across Product, Data Science, and Marketing.

Jul 2021 - Jul 2024

Built scalable research systems that turn complex data into clarity and business impact.

Led and scaled a high-impact research organization serving 7 SaaS products used by millions nationwide. Oversaw mixed-methods research spanning efficacy, product analytics, and behavioral insights to drive product innovation, market positioning, and evidence-based growth.

Directed a team of 5 researchers, completing 50+ studies that influenced product, marketing, and executive strategy across multiple business lines.

Supported 0→1 product development, leading efficacy and UX research on early prototypes, sign-up flow testing, and feature optimization to inform engineering and product decisions.

Mentored researchers in developing dashboards and metrics that gave PMs and engineers visibility into real-time user behavior, product adoption, and success indicators.

Authored and operationalized ESSA Tier 3 efficacy studies and Tier 4 logic models, aligning research rigor with business development and policy compliance.

Partnered with academic institutions (USC, LMU, Stanford) and external evaluators to advance independent research validating digital learning and engagement outcomes.

Secured a $750K state education grant and supported subsequent RFPs through evidence-based storytelling and policy-aligned analyses.

Established repositories, taxonomies, and mentorship structures that improved data governance, researcher growth, and research velocity.

(Concurrent with Research Role)
Oct 2023 - Jun 2024

Led a team of six Content and Curriculum Designers in creating standards-aligned Math and ELA practice content (K–12) for Pear Practice. Under my leadership, the team consistently delivered ahead of schedule, earned performance bonuses, and achieved full alignment between Pear Practice and Pear Deck content to streamline teacher adoption and save instructional time.

Conducted UX research that identified a key need to optimize library search. Partnered with Engineering to enhance content discovery and usability, developing a fuzzy-match system that surfaced standards-aligned practice sets while maintaining precision for educators.

Designed and piloted a generative-AI content development framework that balanced automation with human quality assurance. Personally led the design, testing, and iteration of this framework, transforming a manual, multi-person process into an agile, one-hour system. The result was a step-change improvement in scalability and consistency, allowing the team to focus on creative, pedagogical, and data-driven refinements.

This work reflected my broader focus on research-driven impact, data-informed content strategy, and scalable innovation, blending human insight with responsible AI integration to enhance learning outcomes and educator experience.

Dec 2020 - Jul 2021

As a cross-functional research lead, I designed and executed studies connecting product analytics, survey data, and behavioral insights to inform product direction and go-to-market strategy. My work translated complex user patterns into actionable intelligence for executives, PMs, and marketing teams.

Led end-to-end research initiatives spanning market, product, and UX domains, integrating learning science, psychology, and HCI principles to improve digital engagement and learning outcomes.

Combined product telemetry, SQL-based analyses, and survey research to quantify product impact and identify key user behaviors driving retention and satisfaction.

Partnered with Product, Marketing, and Data Science to embed data-backed insights into roadmap planning and narrative development for external communications.

Drove methodological rigor across qualitative and quantitative programs, enabling faster, evidence-based decision-making across the organization.

Nov 2019 - Dec 2020

Led end-to-end efficacy, learning science, and insights research to understand how digital learning tools impact educators, students, and administrators.

Designed and executed mixed-methods studies, including exploratory analysis and product archival data analysis, to surface externally facing insights that informed both research publications and internal decision-making.

Translated findings into actionable guidance for product innovation, marketing strategy, and executive planning.

Identified gaps in organizational data strategy and initiated scalable solutions to address them.

Created comprehensive data dictionaries to document product data and improve consistency across teams.

Designed and launched a knowledge management system that centralized research outputs, accelerating insight access and data-informed decision-making across the organization.

Partnered closely with Product, Data Science, Engineering, and Marketing to ensure that research findings aligned with product innovation and go-to-market strategy.

Produced internal and external reports quantifying product efficacy and impact, elevating GoGuardian’s credibility with districts, educators, and industry partners.

Mentored a research intern through project design, stakeholder communication, and presentation delivery, fostering autonomy, creativity, and cross-functional collaboration.