UI/UX Design

Individual Project

4 Weeks

Figma Make/ Photoshop

Invisible Payslip

Invisible Pay is an app that translates domestic work into its economic value and presents it in a clear, familiar wage format.

This project explores the invisibility of domestic labor in everyday family life. Although housewives contribute significant time and effort, their work is often unmeasured and taken for granted. Invisible Pay translates this labor into a familiar economic format, making it more visible and easier to acknowledge within the household.

“At first, I thought the issue was that housewives’ labor couldn’t be measured, but through research I realized what many of them actually want is to be recognized and taken seriously in everyday family life.“

Transforms fragmented domestic work into a clear and recognizable form, making previously overlooked contributions visible and discussable.

Moves beyond quantification to address how recognition shapes everyday family dynamics and perceptions of value.

Making Invisible Labor Measurable

APP Functions

From Measurement to Relationship Awareness

Cross-Cultural Design Adaptation

Develops two localized versions that reflect different cultural habits, demonstrating how the same function can be expressed through different visual and interaction approaches.

AI-Assisted Design Process

Throughout the project, I experimented with many prompts to guide the AI and refine the design direction. One key learning was that effective AI-assisted design depends on having a clear low-fidelity prototype beforehand. The more defined the initial structure and intent, the more meaningful and controllable the generated results become.

Self-build in Figma prototype

A total of 45 versions

Research & Exploration

Interview with Other

Secondary Research

Design Directions

User Testing & Feedback

Reflection

This project began as an attempt to make housewives’ labor measurable, but evolved into a focus on recognition within family relationships. Research showed that the issue is not the absence of work, but how it is perceived and valued. Working with Figma Make shifted my process toward prompt-based iteration, requiring clearer low-fidelity thinking. It reinforced the importance of structure and intention when using AI as a design tool. If developed further, I would explore how the system could encourage recognition and small behavioral changes, rather than only presenting data.