Art Scout
2026
Speculative Work

Role: UX/UI Designer
Length: 1.5 Months
Team: Solo Project
Research
In order to determine the best possible solution, I employed the following methodologies:
Competitive Analysis
I researched three apps marketed to address similar problem spaces: 1) Smartify, 2) Google Arts and Culture, and 3) Metropolitan Museum of Art. I compared their mission statements, their target markets, their strengths, and their weaknesses.
User Interviews
I then interviewed five different users about their experience with visiting museums.
These were the key findings from most of the interviewees:

POV Statements and Personas
With the information I had from my secondary research, competitive analysis, and user interviews— I began to understand the direction my solution should take in order to be the most effective. Feel free to reference both of these assets below.
POV Statement #1
Insight
Users find it difficult to choose which museums to go to while they are traveling.
POV Statement
People who want to go to museums while traveling need to be able to decide which museum is the best fit for them, otherwise they will be overwhelmed by the amount of choices.
POV Statement #2
Insight
Users find it difficult to prioritize what to see within a given museum.
POV Statement
People visiting museums need to be able to decide which exhibits and parts of the collection they’re most interested in, otherwise they will feel overwhelmed and fatigued.
POV Statement #3
Insight
Users find crowded museums to be unenjoyable.
POV Statement
People who want to avoid crowded museums need to be able to understand when particular museums are most crowded, otherwise they won’t be able to enjoy their experience.
POV Statement #4
Insight
Users find long wait times at museums to be a deterrent, especially while traveling.
POV Statement
People who want to avoid long wait times need to be able to understand the average wait time for a museum in advance, otherwise they will feel like they are wasting their limited time.
Ideation
Now that I had identified the problem space, and the potential users, it was time to set some goals and figure out what the solution would look like.
Initial Pitch
An app that recommends museums to the user based on their physical proximity and their interests. This way the user can pick a museum– and the specific exhibits they want to see in the museum– without feeling completely overwhelmed by choices. This will help make visiting museums more approachable, and also allow people to focus on the exhibits that align with their interests, before museum fatigue sets in.
Project Goals

Style Guide
For this style guide, I started with the idea of referencing some of the most famous pigments used in paints (Prussian blue, red ochre, and yellow ochre). For the logo, I wanted to emulate a scouting patch.

Wireframing and Prototyping
Now it was time to figure out how users would interact with the app.
User Flows
I created user flows for the most important activities users would complete within the app: 1) finding out more information about a museum, and 2) finding out more information about an exhibit.

Low-Fidelity Wireframes

High-Fidelity Wireframes
With these screens completed, I could finally create a prototype to show to my originally interviewed users.

User Testing
Now it was time to ensure that the product was working as intended. Did it actually solve the problem I wanted it to?
What did users think? What would I have to change to make this the ideal solution to our problem? Here were the key findings:
Opportunities and Prioritization:
Versioning
Now all there was left to do was make the final alterations!

Final Designs


Conclusion
I hope that this app can serve as an entry point for making museums feel more approachable to anyone who is interested in visiting them.
While for the MVP of this product I wanted to keep the scope focused on museums, I could see future iterations of this product including information about other cultural and heritage sites people tend to visit while being tourists– such as landmarks, restaurants, and more.










