
Finding parking means weighing a dozen little variables at once. SlotSpot brings them together to help drivers find the right spot faster.

Overview
Drivers often waste significant amounts of time, pay unnecessary fees, and add stress to their lives searching for parking. What began as a self-started exploration into emerging technologies developed into a mobile app to help solve the parking issue.
the product
Experience SlotSpot.
You can click through the final design by tapping the button below. Or, scroll down to follow the SlotSpot story.



our challenge
Finding parking is often harder than reaching
the destination.
Parking isn't just finding a place to leave your car, but can be a stressful series of decisions about proximity, cost, safety, convenience, time, traffic and uncertainty.
How might we make finding parking feel faster, clearer, and less stressful, even in high-demand areas?

DISCOVERY
We investigated
how drivers make
parking decisions.
To better understand the problem, I spoke with commuters and audited current parking apps. Clear patterns in parking experiences emerged across nearly every conversation.
USER interviews
Five conversations revealed remarkably consistent
parking frustrations.
While each driver's experience was unique, the same concerns surfaced again and again: wasted time, unnecessary cost, and stress.
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01
SAMANTHA
Busy mother of five
"I usually choose the area that feels the safest, even if it means walking farther."
KEY INSIGHT
Safety often outweighs convenience.
02
LIAM
Rideshare driver
"I often end up paying more than I want to for parking, because free spots are hard to find at peak hours."
KEY INSIGHT
Drivers constantly balancing cost against time.
03
TREVOR
Bartender in busy town
"At work I always have to circle around for like 25 minutes or so before finding a free spot, and it's so stressful."
KEY INSIGHT
Uncertainty creates stress long before drivers arrive.
pain point identification
Three recurring themes emerged across every stage of the users' parking journey.
Stress, cost, and time consistently shaped parking decisions, regardless of where people were driving.
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insights into direction
Research becomes actual design principles.
Research findings were synthesized into a focused set of design priorities to guide every feature decision, ensuring the experience consistently reduced time-consuming uncertainty, increased cost transparency, and helped drivers make confident parking decisions that reduced stress.
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01
TIME
Reduce time spent searching for parking.
KEY INSIGHT
Tracking has to feel easier than remembering.
02
COST
Prioritize free parking and make costs clear.
KEY INSIGHT
Health factors rarely exist in isolation.
03
STRESS
Reduce uncertainty and guesswork through predictability.
KEY INSIGHT
More data doesn't necessarily mean more clarity.
user persona
A single persona captured the patterns and experiences shared across participants.
The main themes from the interviews were distilled into a primary persona that represents the shared goals, frustrations, and decision-making patterns observed across participants. It served as a reference point throughout ideation and design.
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competitor audit
Current parking solutions leave gaps in finding the best spots.
We evaluated six parking platforms to understand where existing solutions worked and where gaps remained.
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Experience Synthesis
Mapping out the parking journey uncovered opportunities.
By combining insights from competitive analysis and user research, I mapped the parking journey to identify key pain points and opportunities that our solution could take, mostly at the end of the user's emotional journey.
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Drivers weren't simply looking for parking, but for predictability, transparency, and confidence.
Design evolution
The first solution is rarely the best one.
Research clarified the problem, but the solution came after a deep exploration.
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coherence
Consistent patterns across every interaction.
clarity
Straightforward UI, no hidden steps.
simplicity
Only the essentials, easy decisions.
concept exploration
We diverged into bold ideas that took users right to available spots.
Our research indicated that finding available spots in real time before arriving was what drivers needed most. We initially explored technologically advanced concepts to solve this problem. Ideas such as park-sharing marketplaces and augmented reality head-up displays were on the table. We even began prototyping the latter using sticky notes, AR apps like Adobe Aero, and AI image generation.
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how users interact
User flows required inricate wireframes detailing many steps.
Our augmented reality concepts led to wireframes that displayed a complex system of interactions. During this phase, we also debated the product name, ultimately choosing SlotSpot over Carcloud.
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impact vs. effort
We realized that high-impact design could have low-impact results.
Having explored divergent models, we stepped back and evaluated our developing solution, asking, "Will these ideas actually benefit most drivers?" While exciting, our advanced concepts depended on specialized in-vehicle hardware with limited adoption, resulting in high-effort, low-impact outcomes.
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reality check
Earlier ideation presented challenges; later revisions provided solutions.
Initial ideas led to problems involving feasibility, safety, and adoption. Instead of forcing ambitious ideas forward, we leaned into those limitations to refine a more practical direction.
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01
TECHNICAL
FEASIBILITY
- Specialized hardware
- Limited compatibility
- Difficult to scale
NEW DIRECTION
Prioritize technology people can use today.
02
DRIVER
SAFETY
- AR HUD possibly distracting
- Drivers inexperienced
- Limited testing on HUDs
NEW DIRECTION
Keep attention on the road through a simpler interface.
03
ADOPTION
FRICTION
- Uncommon technology
- Limited accessibility
- Unfeasible?
- Untrustworthy?
NEW DIRECTION
Design for every driver with a mobile-first experience.
Our exciting divergent exploration turned out not to be the best solution for our current user base.
pivot point
We transitioned into the most scalable design.
Our step back from ideation led to a new and clairvoyant realization: drivers didn't need more visual complexity, they needed clear and trustworthy guidance from a device they already used every day.
mobile-first triumphs
As familiar an experience as getting directions.
Having decided that our previous concepts weren't compatible with our implementation goals of making a widely used parking solution, we pivoted into a new mobile-first design, salvaging all our previous research, wireframes and design goals.
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why mobile came first
- Broadest accessibility
- Fastest path to validation
- Foundation for future vehicle integration
- Lowest impact risk
- Familiar to users
new wireframe & ideation
We recycled our initial wireframes but scaled them to iOS mobile.
With the platform established, we set out to translate the design we began for the AR concept into a mobile app interface, using inspiration from common wayfinding apps to provide a seamless parking space finding experience.
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Core user flow
User needs parking, so what are the steps to take?
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designing the interactions
Mid-fidelity wireframes helped work out the main interactions.
The core flow prioritized speed, confidence, and clarity. We explored how SlotSpot could work within iOS Maps for more universal compatibility, as well as how it could surface better parking options in real time, adapt during the drive, and make the outcome clear.
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01
START
SEARCH

Search for a destination or choose a recent trip. Community reporting lets drivers flag spaces as they open up.
02
COMPARE
OPTIONS

Parking markers and ranked options layer into Maps, helping drivers quickly judge distance, cost, and availability.
03
ADAPT
EN ROUTE

Live updates can redirect drivers toward a better parking area when a stronger option appears.
04
SEE
SAVINGS

After parking, SlotSpot shows the estimated time, money, and unnecessary driving saved.
system thinking
How could the concept work in the real world?
To understand how SlotSpot could work beyond the interface, we mapped the data sources and systems needed to identify, evaluate, and recommend parking options in real time.
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accessibility considerations
The information displayed needed to be designed for every driver.
Our system needed to communicate parking availability through multiple visual and aural cues rather than color alone. Confidence levels combine color, shape, labels, and hierarchy to support drivers with varying visual abilities and accessibility needs. Voice features were also prioritized for accessibility and safer use while driving.
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parking markers
Understanding the parking landscape before arriving.
Rather than simply showing where parking exists, we developed SlotSpot to visualize the entire parking environment in real time. Color and text communicate parking type, confidence levels predict likely availability, and larger markers highlight the strongest recommendations, helping drivers to make informed decisions before reaching their destination.
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We redesigned with intent, prioritizing intuitive affordances and accessibility for an optimal user experience.
feedback & validation
We tested what worked (and what didn't).
Sharing the prototype with prospective users revealed what felt intuitive, where uncertainty remained, and which ideas deserved another iteration.
early feedback
How did people respond to the concept?
We shared the prototype with potential users to understand what felt useful, what raised questions, and where the concept needed more clarity.
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what we learned
Feedback uncovered
three recurring patterns.
Participants responded positively to the concept in general, but their
feedback consistently centered on confidence, transparency, and clarity. These themes guided the next iteration.
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01
CONFIDENCE
How do I know the prediction that the app makes is accurate?
NEW DIRECTION
Prioritize technology people can use today.
02
TRANSPARENCY
I like seeing the parking costs before I arrive, especially for the free spots.
NEW DIRECTION
Keep attention on the road through a simpler interface.
03
CLARITY
What if someone takes the spot you're being led to as you're on your way?
NEW DIRECTION
Design for every driver with a mobile-first experience.
Feedback from our first prototype is directing the next round of iterations.
the finished experience
What it's like using SlotSpot.
The experience centers on three moments: finding parking, arriving with confidence, and understanding cost before committing.

navigate with confidence
The interface overlays over iOS Maps, for a familiar experience with minimal learning curve.
See estimated savings
Once you park, the app generates estimated savings in time, cost, and unnecessary driving, which it remembers and adds up over a long period.
real-time updates
SlotSpot calculates the best parking based on multiple variables, predictions, and real-time camera updates. If your spot is taken as you're on your way, the app updates to route you to the next best option.


prototype
Try the interactive experience.
Explore the complete parking journey, from destination search through parking recommendations, navigation, and arrival.
next steps
Building toward a real-world MVP.
SlotSpot’s next challenge is testing the concept with real-world parking data and validating whether its predictions can reliably help drivers make better decisions on the road.
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Final reflection
The best solution starts before ideation.
SlotSpot taught me to evaluate positioning and feasibility early, before investing heavily in divergent ideas that may not survive real-world constraints.
Imagination needs direction, and the strongest ideas need a foundation.





