— Camylla is a Product Manager, Builder, and Problem-Solver based in Madrid 🇪🇸
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.
SEO & AI Initiative
Brainly — Product Manager
Faced with Google’s SGE update threatening organic traffic, Brainly needed a scalable strategy to defend SEO rankings and maintain traffic acquisition.
Brainly’s organic search traffic was at serious risk due to Google’s new AI search features surfacing direct answers instead of traditional search listings.
The goal was to generate SEO-optimized topical content at scale to defend and grow Brainly’s visibility while minimizing development and operational costs.
- Led the exploration of scalable SEO content generation strategies using AI and scraping tools.
- Designed a Python-based system to orchestrate topical content creation across up to 1 million subjects.
- Built AI prompting frameworks for content generation aligned with educational standards and SEO best practices.
- Negotiated and aligned cross-functional teams (AI, Content, Product, Engineering) around a lean MVP plan, cutting proposed costs drastically.
- Supervised the web scraping and QA process to ensure topical accuracy and coverage.
- Reduced projected project costs from $300K to $15K by designing in-house MVP approach.
- Achieved 93% topical coverage and 70% QA accuracy across generated content.
- Delivered full MVP framework and initial data generation plan ahead of stakeholder deadlines.
Crowdin Integration and Localization Pipeline Ownership
Brainly — Product Owner
Brainly’s localization process was inefficient and error-prone, relying on outdated tooling (OneSky), manual developer requests, and inconsistent translation quality across platforms and markets.
With a global user base and content-driven platform, localization bottlenecks were delaying releases and creating UX inconsistencies.
The opportunity was to fully modernize the localization pipeline by selecting a better tool, automating developer workflows, and building a scalable internal localization operation.
- Researched and compared localization platforms; selected Crowdin based on automation potential, scalability, and platform compatibility.
- Led vendor negotiation, internal approval, and integration project across Android, iOS, and Web platforms.
- Owned post-integration management of the localization channel and acted as the single point of contact across development, product, and content teams.
- Selected, hired, and managed the internal localization team (translators, reviewers, language leads).
- Built automated workflows for developers to push and pull localization updates directly through Crowdin pipelines, removing manual steps.
- Designed process governance: versioning, priority setting, fallback handling, and communication protocols.
- Trained internal teams (engineering, content, product) on Crowdin workflows and access management.
- Replaced OneSky with Crowdin, enabling real-time, version-controlled localization across all platforms.
- Reduced localization turnaround time by eliminating manual developer steps and content handoffs.
- Improved translation consistency and quality across languages and product experiences.
- Established a repeatable, scalable localization framework adaptable to new products and markets.
- Increased engineering satisfaction by eliminating friction in the translation flow.
Student Experience Research and Pain Point Mapping
Brainly — Product Manager
As Brainly matured, it needed a deeper understanding of its student users’ emotional journey — beyond surface-level metrics — to inform more engaging, trust-building, and learning-focused product strategies.
Product teams lacked a clear map of how students experienced the platform emotionally and cognitively.
This created misalignment between feature delivery and actual user needs — especially in moments of frustration, uncertainty, or disengagement.
The opportunity was to synthesize a comprehensive student experience map to guide strategic priorities and product narratives.
- Designed and executed a mixed-method research initiative combining in-depth interviews, guided user testing, behavioral surveys, Hotjar recordings, and session replays.
- Analyzed user behavior across different journey stages — first contact, repeated use, disengagement, frustration, churn — to identify key inflection points.
- Led synthesis workshops with Product, Design, and Growth teams to align findings to platform decisions.
- Produced a visualized journey map connecting emotional states, behavioral patterns, and product interactions.
- Framed opportunity areas for feature ideation, UX adjustments, and AI augmentation grounded in real user struggles.
- Delivered actionable research assets used in multiple product and marketing team roadmaps.
- Revealed blind spots in product assumptions, shifting roadmap priorities toward learning support and frustration mitigation.
- Informed the development of multiple new features aimed at increasing trust, reducing confusion, and reinforcing engagement.
- Reframed internal product language around student motivation, cognitive load, and emotional states.
- Became the foundation for broader initiatives exploring learning sessions, motivational design, and AI-based support.