UX RESEARCH · INFORMATION ARCHITECTURE · MOBILE PRODUCT DESIGN

A better answer starts
with the problem.

A professional learning and problem-solving experience helping cleaners find practical, trustworthy guidance and know when to ask an expert.

CleanPeer combines search, structured learning, professional expertise and AI-assisted discovery in a single cleaner-first experience.

CleanPeer mobile interface designs for cleaning problems and expert guidance
CleanPeer original problem-solving mobile screens.
Role
Sole product, UX & UI designer
Scope
Research framing → information architecture → interactive prototype
Status
Concept and prototype
01 / Product opportunity

Cleaning advice exists everywhere. Confidence does not.

When a cleaner encounters an unfamiliar stain, material or chemical at work, scattered search results may not show which advice is credible or safe. The product problem is helping them understand the next action without making them guess whether a source is trustworthy.

How might we help cleaners find an answer they can trust, understand the next safe step and know when to seek professional help?
02 / Research framing & prioritization

Begin with a high-value real task.

I compared candidate journeys, including professional learning, mentorship and on-the-job troubleshooting. The unfamiliar-problem journey became the main design path. Sofia, a developing cleaner, is a provisional persona used to focus the concept—not a verified representative research result.

CleanPeer journey prioritization matrix
Prioritization of possible cleaner tasks.
CleanPeer priority persona Sofia
Sofia's needs and assumptions to validate.
01 / Mentorship

People trust people

Make expert sources visible next to guidance.

02 / Learning

People need a path

Offer related knowledge after addressing an urgent task.

03 / AI support

Fast is not authoritative

Help find and explain material while making verification and human escalation available.

03 / Information architecture

One primary task, several routes forward.

From describing a coffee-stain problem, Sofia can inspect results across formats, open a credited guide, check practical safety information and decide whether she needs expert support. Search, AI-assisted discovery and human routes remain available if the first answer is insufficient.

CleanPeer problem-solving user flow
User flow for describing, checking and resolving a cleaning problem.
CleanPeer information architecture sitemap
Product sitemap connecting Solve, Learn, Community and Experts.
04 / Wireframes & prototype

From first structure to interactive guidance.

Paper sketches established information hierarchy before digital wireframes and the mid-fidelity interaction. The prototype keeps photo, text and voice options visible, distinguishes content types in results and provides a route to expert-backed advice.

CleanPeer original paper sketches
Early five-screen layout and decision sequence.
CleanPeer digital wireframes
Five digital wireframes defining the core journey.
CleanPeer connected mid-fidelity screens
Home, problem, results, guidance, expert and completion states.

Try the working prototype

Describe a problem, review guidance and explore the expert route.

Open full-screen prototype
05 / Feedback & iteration

Trust must be visible in the interaction.

Peer review and a prototype walkthrough revealed that adding a photo needs immediate feedback because users may show a stain before describing it in words. I revised the interaction to make attachment state visible and removable, and strengthened source visibility beside guidance.

CleanPeer annotated design iterations
How early interaction sketches informed the later design.

The available evidence documents peer feedback and illustrative observations; it does not establish a representative live user study or measured product improvement. Next I would test the path with practicing cleaners.