Brittany Mooney
Source-backed research for smarter business decisions.
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I implemented Microsoft Clarity on ScholarScore to evaluate how real visitors navigate the platform and convert behavioral data into actionable product improvements.
I analyzed aggregate engagement metrics, page depth, repeat usage, navigation patterns, dead clicks, quick backs, and anonymized session recordings. This research revealed specific friction points, including mobile layout overflow, review content being cut off on smaller screens, scholarship filters resetting after users opened an opportunity, and missing actions within the resource experience.
I translated these observations into a prioritized improvement plan and implemented responsive-layout fixes, clearer navigation, stronger search functionality, improved error handling, and more accessible review results.
This project demonstrates how I use real user behavior—not assumptions—to identify problems, prioritize product decisions, and improve a live digital experience while protecting user privacy.
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I developed ScholarScore, a live AI-assisted platform that gives students structured, ethical feedback on scholarship essays without rewriting their work or replacing their authentic voice.
I designed the complete review experience around the way scholarship committees evaluate essays. Each submission receives a readiness assessment, five-category score snapshot, first-impression analysis, identified strengths, specific improvement opportunities, reviewer takeaways, a final submission checklist, and personalized encouragement.
The project required product strategy, prompt and guardrail development, user-experience design, subscription and authentication workflows, responsive interface development, error handling, PDF export, analytics integration, and live deployment.
ScholarScore is designed to help students understand how their writing may be received and make stronger revision decisions while maintaining full ownership of their stories.
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I created and manage ScholarScore’s searchable scholarship research database, which currently contains more than 1,700 state-specific and national opportunities gathered from public sources.
Each opportunity is independently researched and converted into a standardized record containing eligibility requirements, award information, deadlines, application status, required materials, location restrictions, renewal details, competitiveness indicators, source notes, and direct application links.
I also developed the database structure and user-facing search experience, allowing students to filter opportunities by state, education level, field of study, eligibility factors, award amount, application status, and other relevant criteria.
This ongoing project demonstrates large-scale web research, source verification, data standardization, taxonomy development, quality control, and the translation of complex information into an accessible decision-support resource for students and families.
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For this portfolio project, I evaluated seven dog-daycare and boarding alternatives serving the Auburn–Opelika market. I gathered public pricing, services, positioning, customer signals, and operational differentiators from first-party and supplemental sources.
I organized the evidence into an auditable workbook with direct links and confidence labels, then translated the findings into a concise executive brief. The final recommendation identified an opportunity for a transparent, trust-led mid-market service offering structured enrichment, proactive owner updates, and calmer care options for senior, shy, or easily overstimulated dogs.
This is a demonstration project using a fictional client and real public market information.
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