CASE STUDY
Clearspace
A declutter app that removes every mental decision: where to start, what to keep, how long to take. One clear next step at a time.
ROLE
Product Designer
TYPE
Independent Project
PLATFORM
iOS Mobile
STATUS
Interactive Prototype
You walk into a messy room and your brain immediately has to decide where to start, what to keep, what to throw away, how long it'll take. Most of the time you just close the door and walk away.
THE PROBLEM
Clutter isn't a mess problem. It's a decision problem.
Decluttering feels straightforward until you're standing in the room. The real barrier isn't laziness, it's that your brain has to make hundreds of micro-decisions before it can even begin. Research backs this up.
Every decision depletes mental energy. And decluttering is nothing but decision after decision, a perfect recipe for overwhelm. Most people don't fail to declutter because they don't want to. They fail because the cognitive load of starting is too high.
44%
of people feel overwhelmed by clutter in their homes
30%
reduction in working memory capacity in disorganized environments (Stanford)
↑ cortisol
Cluttered environments measurably raise stress hormones throughout the day
→ 0
Most people's actual declutter sessions end before they start
I spent time in the research: behavioral psychology papers on decision fatigue, productivity frameworks, studies on task completion and procrastination. The recurring thread was about scope and time commitment. How do you break a huge task into something that feels survivable? How do you calibrate effort so you're not setting yourself up to quit? That led me to one insight that felt obvious in retrospect: you don't have to do it all at once. Small progress is still progress. The hard part is just getting started.
THE CORE INSIGHT
Remove the mental math entirely.
The solution isn't motivation. It's elimination: removing every decision the user would otherwise have to make before they can start.
Where do I start? The app tells you.
What do I do with this? The app gives you boxes.
How long should this take? The app estimates and times it.
Did I make progress? The app shows you.
Two flows, one principle
Users either know what they want to tackle (manual flow) or they're overwhelmed and need AI to map the room for them (AI flow). Either way, the experience converges on the same thing: a specific space, a specific time, a specific set of actions.
MANUAL FLOW
When you know what to tackle.
Type or tap an area. The app estimates a realistic time based on the space type. Pick your sorting boxes. Then start — one space, one timer, no decisions.
KEY DESIGN DECISION
Specific beats flexible.
The hardest thing to design was the time estimation. The first instinct is to let users set any time they want — but that reintroduces exactly the decision fatigue we're trying to remove.
The real insight was that the app should have an opinion. If you try to allot 30 minutes to "the whole kitchen," the app should say no — be specific. The smart estimate popup nudges you toward a realistic range while still letting you override it. Guidance, not control.
Free-form time input - Earlier version
User types any number. No guidance on whether it's realistic. Reintroduces a blank-slate decision.
Smart estimate + override - Final
App suggests a realistic range with a recommended pick. User can still set custom time. Decision feels easy.
AI FEATURE
For when you don't know where to start.
The AI flow handles the most overwhelming case: you open the door to a cluttered room and your brain goes blank. Take a photo, add a voice note if you want, and the app maps the room into zones, prioritizes them, and builds your session plan automatically.
Upload a photo of your space
Optional voice note for context — "I want to find space for my work stuff." The more context, the smarter the plan.
AI maps the problem zones
Visual zone detection overlays numbered circles on the photo. You see exactly what the AI sees — no black box.
Answer 3 quick questions
How much time do you have? What matters most? Chip selectors — no typing. Under 30 seconds.
Get a prioritized session plan
A full declutter plan with time estimates, task lists per zone, and space-specific tips generated for your actual room.
SWIPABLE TIPS
Space-specific guidance, not generic advice.
Every space type has curated tips delivered as swipeable cards with hand-drawn illustrations. The tip content is matched to the area name — bathroom cabinet gets different guidance than a junk drawer.
For AI-generated sessions, the system uses a tag library to match illustrations to dynamically generated tips — so even AI content feels considered and intentional.
VISUAL DIRECTION
Calm enough to use when you're already stressed.
The design reference was health and fitness apps: clean, progress-oriented, reassuring. Warm white backgrounds, a single accent color, no colored card chaos. The visual language needed to feel like momentum, not overwhelm.
Typography
DM Sans throughout — legible at small sizes, friendly without being playful
Cards
White surface, 4px colored left-strip for area type. No garish card backgrounds.
Color
Single accent, used with restraint. Warm background. No color clutter competing for attention.
Motion
Swipeable tip cards, AI analyzing animation. Motion only where it signals progress.
REFLECTION
What I learned building this.
The insight that drove the whole project sounds simple: break big things into small things. But getting to that as a design principle — not just a productivity tip — took real research. I watched hours of content on overcoming overwhelm, laziness, decision fatigue. The psychology of why we avoid things.
The design reflects that. Every screen is designed to remove a decision, not add one. The AI feature isn't a gimmick — it handles the hardest case: the moment where you're too overwhelmed to even know what to tackle. As users build confidence, they naturally migrate to the manual flow. The app scales with them.
The next step is making it real — a React/Next.js frontend, Supabase backend, and Anthropic API integration for the live AI zone-mapping feature.