- Schoolproject
- Role: Graphic designer
- Dec 2024 -January 2025
Background:
We developed an application that presents real climate data in an educational and engaging way, aiming to influence a specific target audience. The assignment offered two possible scenarios: middle school students or retired office workers.
Scenario:
We targeted middle school students aged 13–15 in Swedish compulsory school. Our goal was to support climate-change education with a digital solution that blends learning with visual engagement. We based the design on the assumption that these students had some prior instruction on the topic, although their interest and knowledge varied.
Idea:
We created a 2D game that helps students understand how everyday choices, both at home and in their local environment, affect the climate. The game shows how young people can contribute to a more sustainable future through small actions in daily life.
- Tools: Figma, Canva, GenCraft AI.
Design prototype
As the graphic designer, I defined the conceptual and visual framework of the project, developed wireframes, and established the color palette, graphic system, and character design. The early ideation sketches and low-fidelity wireframes was created in Canva, to explore visual direction efficiently. The refined high-fidelity prototype was created in Figma.
I designed a coherent visual logic where interface components and character elements interact intuitively to guide user perception and behavior. I prioritized accessibility and cognitive ease through deliberate hierarchy, spacing, and contrast, tailored to the users’ age and digital literacy. Through intentional composition and visual storytelling, I shaped an interface that balances pedagogical clarity with emotional resonance.
Character design, background and UI elements
I created all character designs and backgrounds using the AI-based image generator Gencraft AI, and I built UI components, including buttons and dialog boxes, in Canva. UX principles, user research, and iterative seminar feedback guided the visual direction. Because the project had a limited timeframe and I prioritized consistent, high-quality visual assets, I intentionally chose generative AI instead of vector-based tools like Adobe Illustrator.
While the AI generator significantly accelerated the asset production process, it also presented challenges related to prompt interpretation and visual consistency.
To address these issues, I integrated ChatGPT into the workflow to refine and optimize prompts, enabling more accurate and stylistically coherent outputs.
This approach reflected a design rationale grounded in tool literacy and creative problem-solving, leveraging one AI system to mediate and enhance the communicative efficiency of another.
Key Insights From the Project
This project strengthened my ability to translate pedagogical goals into a coherent visual system, while balancing creative ambition with practical constraints.
Working across both traditional design methods and AI-assisted tools deepened my understanding of how different technologies can complement each other in a production workflow.
I learned how to iterate efficiently under time pressure, maintain visual consistency across AI-generated assets, and use prompt optimization as a strategic design intervention rather than a shortcut.
The process also highlighted the value of grounding aesthetic decisions in user insights, accessibility considerations, and clear interaction logic.
Overall, the work reinforced my capability to navigate complex design contexts, where conceptual thinking, tool proficiency, and critical problem-solving intersect to support meaningful user experiences.
