CASE STUDY · WORKPLACE LEARNING

ALMA

What if workplace learning adapted to the person — not the other way around?

FULL NAMEAdaptive Learning Management Assistant
ORIGINBCU industry design challenge
FORMATTeam project → independent development
FOCUSAI-assisted · peer-to-peer learning
Presenting competitor researchDragon's Den session
01 · THE BRIEF

Digital tools were moving fast.
People weren’t.

The starting point was to understand readiness for digital adoption: what workers need, fear and value when organisations introduce new technology.

The industry brief asked us to use Design Thinking and user-centred research to explore the behaviour behind slow adoption — then turn those findings into a credible solution.

Project led by Dr. Mersha AftabMA Design Management · Birmingham City University
02 · THE QUESTION

Was training helping adoption — or slowing it down?

We narrowed the brief into one question: whether the way employee training was delivered could itself be slowing readiness for digital adoption.

33%of participants said the training they received wasn’t relevant.
ALMA survey results
Survey findings from the original university project.
03 · THE GAP

Access wasn’t the whole problem.

Benchmarking approaches such as Amazon Career Choice and Googler-to-Googler revealed three recurring gaps worth designing around.

01

Human interaction

Computer-led training can remove the social support that helps people learn from one another.

02

Right-time learning

Fast, high-pressure training suggested support should appear at more appropriate moments.

03

Always available

Self-driven learning created an opportunity for support when the employee actually needs it.

Gaps and solutions analysis
The gap analysis that directly shaped the ALMA concept.

We didn’t only map what people did.
We mapped how learning felt.

04 · EXPERIENCE

Behaviour before interface.

The journey work followed uncertainty, curiosity, confidence and accomplishment across the training experience. That made the problem less about “using an LMS” and more about how people experience change.

Emotional journey mapping
Emotional journey mapping from the original design process.
05 · THE RESPONSE

ALMA

Adaptive Learning Management Assistant

An AI-assisted learning concept designed around adaptive support, peer-to-peer knowledge and accessible training — moving the experience from “complete this training” toward “get the right help when you need it.”

ALMA prototype
This is a prototype, not only a concept.

The research was translated into a mobile experience, giving ALMA a tangible interaction layer rather than stopping at strategy.
06 · PRODUCT EXPERIENCE

The strategy became a product.

The prototype translated the research into a mobile learning experience: personalised learning paths, peer-to-peer mentoring, an AI assistant and learning-style support.

ALMA profile, home and courses screens
Personalised learningProfile inputs, recommendations and course progress bring the learning experience closer to the individual.
ALMA AI assistant shown on a phone held in a hand
Help in the momentAn assistant layer gives people a direct route to support instead of making them search through training material.
ALMA peer-to-peer mentor profile and booking screens
Peer-to-peer mentoringEmployees can find internal mentors, view availability and book a learning session.
ALMA VARK learning style test screen
Learning-style inputThe prototype explores how learning preferences could inform a more adaptive experience.
07 · OUTCOME

From a classroom brief to recognised work.

The concept first received recognition through the university challenge. Its later independent development was submitted to international design competitions, taking ALMA beyond its original academic context.