2. The Warmth Radar
About the product:
The Warmth Radar is a mobile shopping application for Phoebe Yang, who is always cold
and always loves to snuggle up in her bed. The Warmth Radar is unique in that it’s
primary focus is to sort available blankets through their warmth factor before anything
else.
About the Project:
This project was intended to solve an issue that Phoebe may have after interviewing her.
The constraint was that this app is intended for mobile devices.
4. The Warmth Radar
Method:
We conducted short interviews with our partner about
their lifestyle, technology, money, and online behavior
and then mapped out concepts we drew from that.
Findings:
Phoebe like simple things. She brings jackets with her
everywhere because she’s always cold. She spends a
lot of spare time on her laptop or reading in bed. One
of the first things she does when she gets home is
wrap herself up in a blanket to get warm again.
Opportunities:
People who love to spend time in bed
Anyone looking for a new blanket
People who enjoy simple layouts
Cold people
5. The Warmth Radar
Design Hypothesis
Method:
Asked multiple users to try and use the app and say
what they found too be too confusing or overbearing.
Findings:
Warmth was difficult to quantify
Too many pop-ups during tutorial
Too many check boxes
Over categorizing
Opportunities:
Difficulty filling out small boxes and too many boxes
should be changed. Ease of access may attract new
customers.
6. The Warmth Radar
Prototype
Method:
Created a prototype using the Prototype on Paper (POP) mobile application.
Experiences:
Test the first-run experience
See how warmth is ranked
Identifying search and home button functionalities
Sorting and categorizing blankets
Adding items to bag
Purchasing
7. The Warmth Radar
Testing the prototype
Warmth factor now quantified
Skippable explanation of how warmth is
rated
No pop-up tutorials
Categories now sorted through drop downs
rather than small boxes
Easy to spot bottom navigation bar
8. The Warmth Radar
What I learned:
Don’t over categorize
Look at multiple approaches
Refine, refine, refine
