This document summarizes research conducted on an ISM app to support outfit choices. Methods included questionnaires, interviews, and usability testing with 40 respondents and 7 participants. Most participants were female ages 18-29 and considered fashion very or extremely important. The research found ISM fails to support outfit choices because it lacks condition-based searching to find outfits fitting specific weather or occasions. Suggested improvements included adding filters for weather and occasion, improving the search functionality to find options from a user's wardrobe more quickly, and fixing some technical issues like crashing.

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E VA L U AT E D B Y F Q V Y 3
I S T Y L E M Y S E L F R E P O RT
1

2. S U M M A RY
• Research Methods
• Participants Data
• ISM & Outfit Choices
• Search System x User
Objectives
• Suggested Improvements
• Conclusion
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3. M E T H O D S
3
Questionnaire
Semi-Structured
Interviews
Usability Testing
40 Responses 4 Participants 3 Participants
Qualitative And
Quantitative
Qualitative Data
Think Aloud &
Follow Up Interview
The methods followed ethic procedures that does not allow interviewing
participants below 18 year old people. All the participant in this study are female.
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4. PA RT I C I PA N T S
4
4%
16%
60%
20%
18 - 21 22 - 29
30 - 40 40 +
0
5
10
15
20
Participants
12
15
19
10
1 2 3 4 5
Participant’s age breakdown
Fashion importance ranking
(1 - 5) 1=Not important 5=Extremely Important
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5. I S M S U P P O RT F O R O U T F I T C H O I C E S
According to research conducted ISM fails to support users to choose
outfits for one reason: There is no condition based search; participants will not
check several apps and come back to ISM without being able to find quickly
outfits that fits the conditions. Above are the most cited influencers in an outfit.
5
Weather Diary Occasion
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6. Just works
for specific pieces
of clothing, does not
work for outfits, failing
to explore its
database full
potential
S E A R C H S Y S T E M X U S E R O B J E C T I V E S
6
Searching
for black skirt
and finding all
colours it is not
ideal
No search
filters, how to
narrow a
search easily?
The search is the wheel
of an online wardrobe
application. ISM’s search is
not exciting, does not
stimulate the user
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7. S U G G E S T E D I M P R O V E M E N T S
Low Priority
High Priority
Critical
Recommendation
7
L
H
C !
R
Labels
Insert an outfit search
Create filters for this search
Allow users to create bespoke
outfits from items in there wardrobe
Competitor outfit search example
L
L
R
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8. S U G G E S T E D I M P R O V E M E N T S
8
L
Insert weather and occasions in the search
buckets;
Creating a search mechanism for “my
wardrobe” to improve usability, and allow
user to find more suitable options quicker;
Filters that will allow users to search based
on the conditions of the outfit such as
weather, occasion;
Searching for black skirt and finding all
colours it is not ideal;
H
H
H
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9. S U G G E S T E D I M P R O V E M E N T S
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Creating a hierarchy system so items can be
separated between categories and folders
as Pinterest allows users to do;
Fix server to avoid offline message when
mobile has internet;
“I have an idea” is confusing, where
customers are supposed to file an issue?
Fix crashing issues, app shut down several
times during user testing
H
C !
R
C !
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10. C O N C L U S I O N
• Most of the issues found are related to
user-centerer design, therefore the
app needs to adapt to the users
behaviour to succeed;
• There are just a few technological
issues which the team might be aware
of, my recommendation is to fix them
sooner rather than later to avoid users
abandoning the app;
• Next step is to prioritise issues and
create a timeline to guide the fixing
process;
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