Growth Mindset Behavioral Initiative
Brainly — Product Manager
As part of the “Genius Lives in Everyone” strategic program, Brainly aimed to shift student behavior from passive homework help seekers to active, curious learners.
Students increasingly perceived asking questions as a sign of weakness, leading to lower engagement and reduced educational impact.
The opportunity was to redesign product experiences to reinforce question-asking as a positive, intelligence-driven behavior, ultimately boosting platform engagement and retention.
- Led the design of behavioral frameworks encouraging curiosity and learning progress.
- Collaborated with design, engineering, and data teams to integrate motivational feedback loops within the platform.
- Shaped product narratives and microcopy to reframe question-asking as a success indicator.
- Developed a roadmap for new engagement features aligned with growth mindset principles.
- Conducted user interviews and surveys to validate psychological framing effectiveness.
- Increased daily active engagement metrics post-implementation in targeted markets.
- Improved question-asking rates among first-time and returning users.
- Integrated growth mindset messaging into onboarding and key UX touchpoints, sustaining long-term user habit formation.
- Contributed to broader platform repositioning toward learning companionship, beyond homework support.
Gamification System Redesign for User Engagement
Brainly — Product Manager
Brainly’s original gamification system heavily rewarded only answering questions, encouraging quantity over learning depth and discouraging broader platform engagement.
The platform’s legacy gamification incentivized high-volume answerers but failed to reward genuine learning behaviors like asking questions, sustained studying, or topic mastery.
The opportunity was to fundamentally reframe gamification to support deeper user engagement, sustained retention, and meaningful learning progress, aligned with Brainly’s evolving educational mission.
- Audited the existing gamification system and identified key behavioral gaps undermining platform engagement and learning depth.
- Developed a strategic roadmap shifting focus from simple activity counting to learning journey reinforcement (personalized paths, progress streaks, topic-specific achievements).
- Proposed feature designs including dynamic daily engagement streaks, subject-based statistics, and adaptive rewards based on learning consistency, not volume alone.
- Worked with UX/UI teams to integrate motivational triggers and behavioral nudges into the core platform experience.
- Aligned stakeholders from product, education, and executive teams around the new vision for gamification evolution.
- Approved strategic shift of Brainly’s gamification system toward learning-oriented user rewards.
- Integrated new behavioral principles into future feature planning, refocusing product growth around active learners rather than passive traffic.
- Set the foundation for sustainable engagement strategies beyond transactional usage.
End-to-End SaaS Product Management for B2B and Government Clients
The Cloud Group — Product Manager
The Cloud Group delivered SaaS solutions to medium and large private companies and public sector organizations. Products often required tailored development, strict compliance, and high client-facing coordination to meet complex operational needs.
Client organizations needed custom SaaS solutions for internal workflows and data management, but existing offerings lacked flexibility, compliance assurance, or scalable onboarding.
The opportunity was to strengthen product delivery pipelines, improve solution customization processes, and professionalize internal team operations to serve demanding B2B and government clients.
- Led end-to-end product management: requirement gathering (Toma de Requisitos), solution presentation, project scoping, development management, and launch.
- Acted as direct point of contact for high-profile clients, including Royal Emirates Group, TVE (Spanish Public Television), and Fundación Botín.
- Built and led the internal technical and operational team (hiring, training, upskilling) to ensure delivery excellence.
- Developed modular SaaS solutions tailored to specific client workflows, balancing scalability with customization.
- Established standardized processes for client onboarding, feedback cycles, and agile iteration.
- Supported integration with existing client infrastructures where required, ensuring interoperability and minimizing disruption.
- Successfully delivered customized SaaS platforms for private and government clients, increasing client satisfaction and renewal rates.
- Professionalized internal team operations, improving delivery timelines and product quality.
- Strengthened The Cloud Group’s reputation as a reliable SaaS provider for complex B2B and public sector needs.
- Reduced project delivery friction by standardizing requirement gathering and agile iteration processes.
Web Development and Digital Infrastructure Launch
Centro de Psicología Sandra Ribeiro — Web designer
A professional, scalable web presence was critical for credibility, acquisition, and operational communication as the clinic launched into a competitive health services market.
The clinic had no digital presence.
Building a fully functional, SEO-optimized, and conversion-oriented website was critical for marketing effectiveness, brand trust, and patient communications.
- Designed and launched the clinic’s full website, including service descriptions, therapist bios, FAQ sections, and direct appointment request integration.
- Implemented SEO best practices to support organic traffic acquisition strategies.
- Integrated operational systems such as Google Calendar, Slack notifications, and CRM syncing into the web architecture.
- Designed site UX to optimize patient trust-building and easy contact initiation.
- Launched a high-converting, SEO-optimized web presence fully integrated with operational tools.
- Enhanced clinic credibility and enabled organic and paid acquisition campaigns to scale.
- Reduced administrative friction by automating appointment requests and initial patient contact processes.
Strategic Vision for a Personalized, AI-Driven Learning Experience
Brainly — Marketing Strategist
Brainly needed to evolve from a high-traffic homework Q&A platform into a more engaging, indispensable learning companion.
This self-initiated vision work aimed to define what that transformation could look like through a structured, personalized, and AI-augmented study experience.
Despite its scale, Brainly’s user experience was transactional — users came for one-off answers rather than long-term study support.
The opportunity was to design a product direction that shifted from isolated queries to structured, session-based learning journeys, aligning with user behavior, retention, and educational value.
- Conducted research to map user pain points and emotional friction in the current experience.
- Analyzed competitor platforms and user motivations to uncover opportunities for differentiation.
- Designed a modular product framework centered on guided “study sessions” combining AI-generated support, user goals, and progress tracking.
- Proposed features such as dynamic content personalization, dual-model answer comparison, citation generation, paraphrasing tools, and learning analytics dashboards.
- Integrated AI into user workflows not as a gimmick, but as a tool for confidence-building, clarity, and reduced cognitive load.
- Created a phased rollout roadmap, including MVP scoping, adoption strategies, and UX principles for long-term engagement.
- Delivered a complete strategic blueprint for platform evolution, presented to internal stakeholders.
- Elevated internal discussion around long-term product direction, AI integration, and session-based learning value.
- Positioned the platform to explore deeper engagement models beyond reactive Q&A loops.
Redesign of the User Ban Experience for Fairness and Trust
Brainly — Product Manager
Brainly’s automated moderation and ban systems were functionally effective but often perceived by users as opaque, arbitrary, or unfair — undermining platform trust and increasing support ticket volume.
Users who were banned (often for violating content or behavior policies) received minimal context or guidance, resulting in confusion, frustration, and unnecessary churn.
The opportunity was to redesign the entire ban experience — from messaging to appeals — to increase clarity, reduce repeat violations, and preserve user trust even during enforcement.
- Audited the existing ban triggers, messaging flow, and user-facing touchpoints across platforms.
- Proposed and implemented a tiered penalty system with escalating consequences tied to user behavior history.
- Designed new UX patterns including clear messaging on cause, ban duration, and user recourse options.
- Integrated the system with Zendesk to generate automatic tickets for review, reducing response latency and support overhead.
- Added educational content and community guideline links to all ban-related communications.
- Aligned enforcement flows with user sentiment data and legal/privacy guidelines.
- Reduced repeat ban rates through clearer warnings and educational interventions.
- Improved user perception of fairness in platform enforcement — confirmed via support feedback and user interviews.
- Lowered support team workload by automating ban-related ticketing and triage.
- Strengthened Brainly’s moderation framework without alienating borderline users.
Personalized Year-End Learning Summaries for Engagement and Retention
Brainly — Product Owner
To boost engagement and reinforce Brainly’s value as a learning companion, the team developed a year-end feature that celebrated user progress and encouraged reflection and return use.
Many users viewed Brainly as a transactional tool, unaware of their cumulative learning activity.
This created an opportunity to showcase individual progress through a personalized, data-driven experience — increasing platform affinity and reactivating lapsed users.
- Designed the end-to-end experience: tracked user learning behavior, surfaced key milestones, and delivered visually engaging summaries.
- Aligned product, design, data, and engineering teams to implement logic, backend aggregation, and frontend display across Web, Android, and iOS.
- Defined event mapping and data translation from raw user activity into meaningful, emotionally resonant metrics.
- Integrated lifecycle messaging through Braze to trigger delivery via push and in-app messages.
- Managed localization and delivery timing to ensure maximum visibility during strategic year-end engagement periods.
- Launched personalized learning summaries across platforms on time for the end-of-year cycle.
- Increased engagement metrics, including session duration and reactivation among dormant users.
- Strengthened user perception of Brainly as a long-term learning tool, not just a homework utility.
- Created a reusable framework for future lifecycle campaigns and user milestone messaging.
Personal Productivity System with Gamification and Workflow Automation
Freelancer — Systems Architect
To manage ADHD-related executive function challenges and maintain sustainable productivity, I designed and implemented a modular, gamified productivity system that evolved into a fully automated behavioral tool.
Traditional productivity tools (planners, calendars, to-do apps) failed to drive consistent engagement or match fluctuating energy levels.
The opportunity was to design a self-regulating, gamified system that would make task completion intrinsically motivating — using automation to remove friction and decision fatigue.
- Designed a point-based RPG system to reward tasks based on effort, urgency, and long-term impact.
- Created task categories and streak mechanics to drive daily consistency and long-term progression.
- Automated score updates, habit tracking, and daily reset logic using Coda formulas and button-based logic.
- Developed iOS Shortcuts to push screenshots from Goodnotes directly into the system for task parsing.
- Integrated AI-assisted classification to extract tasks from notes and update the task database automatically.
- Iterated weekly challenge mechanics, status effects (energy, focus), and milestone rewards to reinforce behavior loops.
- Significantly increased consistency in task execution, especially on high-cognitive-load or ambiguous tasks.
- Reduced friction in daily planning through fully automated pipeline from notes to tasks.
- Demonstrated the ability to design closed feedback systems that drive user behavior over time.
- Built a reusable architecture for productivity gamification that mirrors user engagement frameworks in commercial products.
Django-Based Collaborative Dissertation Platform
Freelancer — Systems Architect
Traditional academic supervision tools (Word, email, PDFs) were unstructured, hard to track, and inefficient for managing feedback on a 300+ page dissertation under constant revision.
The goal was to build a purpose-built collaboration platform for real-time document review between PhD student and advisor.
Academic advisors needed a structured way to comment on specific sections, track changes over time, and reference data tables and figures — none of which was well-supported by traditional tools.
The opportunity was to build a lightweight but powerful Django-based app that enabled inline feedback, review tracking, and custom integration of code-generated content.
- Designed a custom collaboration platform tailored to the academic supervision workflow, enabling structured feedback and version control across long-form documents.
- Built a local-first system that prioritized data privacy, modularity, and full author control over content and revisions.
- Developed flexible editing and commenting capabilities to support granular, sentence-level review and iterative improvement.
- Implemented dynamic content handling to support integration of external elements such as data tables and figures generated in Python.
- Created administrative tools to manage documents, track feedback cycles, and support academic process transparency.
- Future-proofed the architecture to accommodate citation logic, content compilation, and extended use beyond a single dissertation.
- Eliminated friction in PhD feedback loops — supervisor could leave comments per sentence, reducing back-and-forth confusion.
- Enabled centralized review across dozens of chapters, interviews, figures, and datasets.
- Significantly reduced cognitive load for managing revision cycles and integrating comments.
- Demonstrated feasibility of a structured alternative to traditional word processors for academic research.