FQVY3 U3
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
S U M M A RY
• Research Methods
• Participants Data
• ISM & Outfit Choices
• Search System x User
Objectives
• Suggested Improvements
• Conclusion
2FQVY3 U3
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.
FQVY3 U3
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
FQVY3 U3
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
FQVY3 U3
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
FQVY3 U3
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
FQVY3 U3
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
FQVY3 U3
S U G G E S T E D I M P R O V E M E N T S
9
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 !
FQVY3 U3
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;
10FQVY3 U3

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I Style Myself - Usability Evaluation

  • 1. FQVY3 U3 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 2FQVY3 U3
  • 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. FQVY3 U3
  • 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 FQVY3 U3
  • 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 FQVY3 U3
  • 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 FQVY3 U3
  • 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 FQVY3 U3
  • 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 FQVY3 U3
  • 9. S U G G E S T E D I M P R O V E M E N T S 9 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 ! FQVY3 U3
  • 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; 10FQVY3 U3