— 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.
Appbot Platform Ownership and App Review Insights Team Management
Brainly — Product Owner
With millions of mobile users, Brainly’s app stores received constant user feedback through reviews — a high-volume, high-noise channel that had been underutilized for actionable insights.
User sentiment was fragmented across platforms and languages, with no structured process for extracting insights from reviews.
The opportunity was to operationalize app store feedback analysis using Appbot and a dedicated team to surface qualitative insights for product, UX, and support teams.
- Took full ownership of Appbot platform: user management, tag design, alerting logic, and feedback flow configuration.
- Recruited and managed a dedicated app review team responsible for tagging, triaging, and summarizing feedback across 7+ languages.
- Created standardized workflows for feedback escalation to Product, Design, Engineering, and Support teams.
- Implemented sentiment tracking dashboards segmented by platform, language, and feature.
- Coordinated with the localization and content teams to manage cultural and linguistic nuances in feedback interpretation.
- Established periodic insight reports and reactive feedback alerts tied to releases or spikes in negative reviews.
- Reduced latency between app feedback and issue detection, improving response time and customer trust.
- Improved signal-to-noise ratio in app reviews, surfacing 10x more actionable insights per cycle.
- Enabled structured tracking of feature-specific sentiment across time and geographies.
- Institutionalized a permanent feedback channel within the product development cycle.
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.
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.