Miriam Felici

MemorAIz(2024-2025)

RoleFounding Design Lead
ClientMemorAIz
Year2024-2025
ScopeEd-tech products, AI
MemorAIz: AI for your memory, app screens and brand mark
Project overview
MemorAIz offers adaptive and personalized learning experiences

MemorAIz is an AI startup: for B2B clients, it designs AI-powered learning experiences to plug into their own products; for B2C, it builds ad hoc learning experiences of its own — like the ed-tech product this case study is about.

It transforms the content people study from, such as video, handwriting, audio, complex documents and books, into mind maps, summaries, quizzes, audio summaries, audiobooks, key points and flashcards.

Co-design is part of how the team works with its B2B clients: for H-FARM College, for example, we ran a workshop to co-design a study tool directly with university students, testing and validating early concepts for an in-house AI tutor before building it out.

I lead its experience design and the design team, from the product strategy to the features of its core experiences.

MemorAIz: modules for content transformation, experience creation and personalisation
The product
From any content to a personal way of studying
Content transformation

Video, handwriting, audio, complex documents, books

Into mind maps, summaries, quizzes (true/false, open-ended, multiple choice), audio summaries, audiobooks, key points and flashcards.

Personalisation

Study program, reading or course

Dynamic organization by subjects and themes

Study and review sessions

Experience creation

Tutor chatbot

Adaptive gamification

Dynamic calendar with adaptive daily and monthly goals

My role
Experience design

Feature definition for the core experiences, from calendar and sessions to onboarding, timer, dashboard, flashcards and quizzes.

Team leading

Hired and mentored a team of 3+ designers, 2024–2025.

Product strategy

Product strategy definition, roadmap and sprint planning.

Workshop
AI Learn: co-designing the future of learning
Year2025
FormatDesign thinking workshop
Duration1 day
ParticipantsUniversity students

Students from different university degree programs at H-FARM College took part. The goal: validate early concepts for an AI tutor we were developing in-house, by exploring them directly with students.

Using design thinking methods, we guided the group through key questions around adopting AI tools, how they fit into everyday study processes, and into ideating new, creative approaches to learning.

Many insights and reflections came out of it — a reminder of how important it is to involve students directly in shaping how they engage with the AI shift already reaching education, and useful validation for the AI tutor concepts we were exploring.

The AI Learn workshop group at H-FARM College
Kicking off the AI Learn workshopStudents working through the exercisesA personalised study plan sketched during the workshopGroup discussion during one of the activitiesSticky notes capturing how students defined AITwo participants next to their board of ideas
Product strategy
From context and competitors to features and products

The strategy deck walks through context, competitors and differentiation, features and products, use cases, goals and next steps. Here, two pages from the features and products section.

Study modes matrix: focus, skills and learning across single or multi user, online or offline

Modes: focus, skills and learning, each mapped to single or multi user, online or offline.

The MemorAIz feature set

The feature set: beyond the base features, a fully personalised and phygital experience.

Core experiences
Feature definition for the core experiences

Calendar, sessions, onboarding and customisation, the Pomodoro timer, then the dashboard with spaced repetition, flashcards and quizzes.

Calendar
Session
Onboarding and customisation
Pomodoro timer
Spaced repetition and dashboard
Flashcard
Quiz
Next project Myspot app

MemorAIz

(2024-2025)
RoleFounding Design Lead
ClientMemorAIz
Year2024-2025
ScopeEd-tech products, AI
MemorAIz: AI for your memory, app screens and brand mark
Project overview
MemorAIz offers adaptive and personalized learning experiences

MemorAIz is an AI startup: for B2B clients, it designs AI-powered learning experiences to plug into their own products; for B2C, it builds ad hoc learning experiences of its own — like the ed-tech product this case study is about.

It transforms the content people study from, such as video, handwriting, audio, complex documents and books, into mind maps, summaries, quizzes, audio summaries, audiobooks, key points and flashcards.

Co-design is part of how the team works with its B2B clients: for H-FARM College, for example, we ran a workshop to co-design a study tool directly with university students, testing and validating early concepts for an in-house AI tutor before building it out.

I lead its experience design and the design team, from the product strategy to the features of its core experiences.

MemorAIz: modules for content transformation, experience creation and personalisation
The product
From any content to a personal way of studying
Content transformation

Video, handwriting, audio, complex documents, books

Into mind maps, summaries, quizzes (true/false, open-ended, multiple choice), audio summaries, audiobooks, key points and flashcards.

Personalisation

Study program, reading or course

Dynamic organization by subjects and themes

Study and review sessions

Experience creation

Tutor chatbot

Adaptive gamification

Dynamic calendar with adaptive daily and monthly goals

My role
Experience design

Feature definition for the core experiences, from calendar and sessions to onboarding, timer, dashboard, flashcards and quizzes.

Team leading

Hired and mentored a team of 3+ designers, 2024–2025.

Product strategy

Product strategy definition, roadmap and sprint planning.

Workshop
AI Learn: co-designing the future of learning
Year2025
FormatDesign thinking workshop
Duration1 day
ParticipantsUniversity students

Students from different university degree programs at H-FARM College took part. The goal: validate early concepts for an AI tutor we were developing in-house, by exploring them directly with students.

Using design thinking methods, we guided the group through key questions around adopting AI tools, how they fit into everyday study processes, and into ideating new, creative approaches to learning.

Many insights and reflections came out of it — a reminder of how important it is to involve students directly in shaping how they engage with the AI shift already reaching education, and useful validation for the AI tutor concepts we were exploring.

The AI Learn workshop group at H-FARM College
Kicking off the AI Learn workshopStudents working through the exercisesA personalised study plan sketched during the workshopGroup discussion during one of the activitiesSticky notes capturing how students defined AITwo participants next to their board of ideas
Product strategy
From context and competitors to features and products

The strategy deck walks through context, competitors and differentiation, features and products, use cases, goals and next steps. Here, two pages from the features and products section.

Study modes matrix: focus, skills and learning across single or multi user, online or offline

Modes: focus, skills and learning, each mapped to single or multi user, online or offline.

The MemorAIz feature set

The feature set: beyond the base features, a fully personalised and phygital experience.

Core experiences
Feature definition for the core experiences

Calendar, sessions, onboarding and customisation, the Pomodoro timer, then the dashboard with spaced repetition, flashcards and quizzes.

CalendarSessionOnboarding and customisationPomodoro timerSpaced repetition and dashboardFlashcardQuiz
Next projectMyspot app