§ Case Study · Sustify · Inclusive Design
A digital training app for factory workers in India and China — designed around varying literacy levels and different cultural contexts.
Sustify is an interactive learning app that teaches factory workers about workplace safety and human rights.
Sustify takes a bottom-up approach, bringing training directly to factory workers. The training runs on tablets in the factory and is designed to work across different literacy levels, using audio and culturally relevant illustrations alongside written content.
My work focused on how the learning content could be translated into simple, understandable interactions. A large part of that was finding the right visual support for the content, while considering different literacy levels and cultural contexts.
§ 02 — Designing beyond textThe training was designed for factory workers in India and China, with different literacy levels and cultural backgrounds. That meant I couldn't rely on written language alone — but replacing text with visuals wasn't automatically the answer either.
Important information needed to remain understandable without relying on reading alone.
Icons and illustrations can be interpreted differently across cultures, so visual choices needed to be considered just as carefully as written ones.
One fire safety module uses Raul, a fictional factory worker, to explain what a fire needs to start. Raul needs heat, oxygen and food to survive; a fire needs heat, oxygen and fuel to keep burning.
In the exercise, learners drag a photo from everyday factory life into one of two categories: is this a source of heat that can ignite a fire, or something that can feed a fire further? Both categories were labelled with text alone. For workers with limited reading skills, that made an otherwise simple task difficult to understand.
My task was to find visual cues that could communicate the same meaning without relying on text alone. The two categories turned out to be very different problems.
A flame was a simple and recognisable visual for this category.
A cable was technically related to the hazard, but recognising a cable didn't necessarily mean understanding “heat”. It still required the learner to interpret what the symbol was meant to represent.
Instead of introducing another visual abstraction, I reused the illustration from Raul's story. Its meaning had already been established in the lesson, so the exercise could build on recognition rather than asking learners to interpret a new symbol.
Raul's story shows what a fire needs to start and keep burning.
The same illustrations return as the answer categories.
Recognises the visual instead of interpreting a new symbol.
Icons are rarely universal. If a visual has to work without words, the understanding has to be established before the user meets it.What the fire safety module taught me
In the first-aid exercise, learners need to recognise two possible sources of help: an ambulance and a first-aid officer. Unlike the fire symbol in the previous example, neither of these looks the same across cultural contexts.
So the question wasn't just how to draw an understandable icon. It was which visual details make something recognisable locally — and which parts of the illustration can stay the same everywhere.
For the ambulance, I looked at which identifying details had to reflect the local context — the blue Star of Life on the side is one of them — and which parts of the illustration could stay as they were. The aim was to make the visual recognisable locally without redrawing the whole thing for every market.
§ 05 — Abstract or diversifyObjects can borrow meaning from context. Human characters can't — every face carries features, clothing and skin tone that someone will or won't recognise as their own. There are two ways to handle that, and they pull in opposite directions.
Move away from realistic detail, so people can fit their own identity into the image. The first-aid officer takes this route: deliberately grey, with no skin tone that could be read as one ethnicity — human-like, but nobody in particular.
Show the range of differences people might identify with. The avatar set takes this route: differences between cultures, and differences within a single culture. It costs more work per market, but people see themselves rather than a stand-in.
Neither is the right answer everywhere. Abstracting scales — one figure works in every market. Diversifying recognises — but multiplies the work each time a new market is added. For Sustify, the deciding factor was scale with low effort for change, so we went with abstracting (the avatar set itself was designed by someone else on the team).
§ 06 — LearningsCandidates, based on what's still in the case study: whether abstracting would have scaled better than diversifying as more markets were added; and what borrowing meaning from context — rather than searching for a self-explanatory icon — changed about how I approach visual accessibility.