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Magic Mirror

Magic Mirror


The Problem
Picking out glasses can be stressful, especially if you typically have a hard time finding a pair that fits. Decision fatigue can wear you down leaving you unsatisfied with your experience and possible settling for a sub-par pair.

The Hypothesis
We believe that a digital experience that allows customers to have their face scanned by a 3D camera to have recommendations given to them based on their fit, and then filtered by their style preferences will improve customer satisfaction and decrease decision fatigue.

Key Activities
Product Strategy
 UX/UI Design
User Research
Rapid Prototyping
User Testing


Qualitative Interviews

GOAL
- Understand how people choose a new pair of glasses
- Become familiar with the terminology customers use to describe their eyewear
- Uncover the pain points of the eyewear journey

TARGET AUDIENCE
Millennials who wear glasses as their primary form of vision correction

AREAS OF INTEREST
Deciding factors, eyewear preferences/terminology, current struggles and successes.

 

Insights

REVIEWS
Reviews are viewed a waste of time because they are too much to read through and most people believe that reviews skew towards complainers.

THE SEARCH
Yelp is frequently used to find new places especially when specific cravings arise. Users will filter by price, dietary preferences, distance, and location.

TRUST
People prefer established places that have become their go-to spot or have been recommended by a friend they trust.

QUICK LUNCH
Rush hour and places with long lines are often avoided because there is only have a small window of time before people have to be back in the office for the next meeting.

 

Persona

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Gary / 27 / SINGLE / ACCOUNTANT / VEGETARIAN


“ I eat at the same place every day because I’m too lazy to go anywhere else. It’s a deli that offers a bunch of different stuff, so I get variety that way, but I’d like to be able to try new places since New York has so much to offer. ”

Ken goes out for lunch 3 times a week, but usually settles for the same spot because he knows it’s good and is too lazy to find a new place. He hates waiting in line and is always worried that if he walked to find somewhere else he would end up using his whole lunch break and not liking the food. When he does use yelp to find a new spot, he falls into the rabbit hole and wastes far too much time being indecisive.

Ultimately, Ken just wants a quick lunch that he knows he will enjoy and more variety to his lunch routine.


 

FEATURE PRIORITIZATION

 
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User Flow

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Paper Wireframes

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Mid-Fidelity Wireframes

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