A daily view, automatic reviews and metrics that respect the student's pace.
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Neuroflow organises study routines with analytics, light gamification and a focus on retention — designed for medical residency, civil service and university entrance exams.
01 · Context
Tamara Teixeira is a teacher and a leading mentor in medical residency preparation, with an established method and thousands of students. Her operational work lived in Notion templates, spreadsheets and messages — functional, but cold, generic and with no retention.
The brief asked for a platform the student would open twice a day: in the morning to know what to study, at night to log what she did. A tool that "felt like her home", not the company's.
02 · Problem
Templates work, but the student gets lost in the setup and drops out before seeing any value.
They only exist inside R$ 2k–3k mentorships. No standalone option, no flexibility.
They reflect the company, not the student. No gamification, no warmth, no emotional payoff.
Almost none of them calculate automatically when to review based on the student's own metrics.
03 · Audience
04 · Strategy
The platform calculates when to review based on hours studied, questions and correct answers — the student never has to think about it.
Duolingo-style streaks and achievements, but without infantilising — celebrating real milestones, not cosmetic ones.
Clear forward planning with room to adjust — because life gets in the way.
First-person microcopy, no jargon. The student opens the app and feels that someone understands her routine.
05 · Sitemap
From splash to dashboard: three layers that prioritise daily use — entry and setup, four content hubs and cross-cutting tools.
06 · Wireflow
Mapping the critical flows: onboarding, daily study logging, automatic review management and progress visualisation. Every decision validated with Tamara before high fidelity.
07 · Mobile prototype
Where the student actually lives — between residency shifts, in the coffee queue, before bed. Generous typography, clear hierarchy, fast gestures.
08 · Tablet prototype
On tablet, the student opens PDFs, ticks off tasks and follows the calendar side by side. The layout uses the screen without inflating components — adaptation, not stretching.
09 · Key decisions
The student chooses to log at the end of a session — a 3-tap flow. No aggressive badges; the reinforcement comes from the clarity of the numbers, not the weight of guilt.
The algorithm generates dates using spaced repetition, factoring in correct answers and time since the last study. The student can drag and reorder — control stays with her.
In 4 steps the student sets the exam, the board and the weeks remaining. The app never asks again — every recommendation comes from that context.
No 'user', no 'system'. The interface says 'your week', 'today you review…' — because cold tools kill consistency.
Discreet streaks, half-yearly achievements, and celebrations on dates that matter (board announced, exam week). No mascot bouncing around.
10 · Next steps
Months to launch
Success metric: use/day
AI-generated study plan
Next fronts: WhatsApp integration for reminders, contextual push notifications and an AI layer that suggests study plans from each exam's specific syllabus.
