Data analysis and trends in user experience design

Description of everything that data analysis I in ux design means

1. DIPLOMA OF USER EXPERIENCE DESIGN
A50204 TRENDS AND DATA ANALYSIS
ASSESSMENT 1
TASK 1
VALERIA PARRA BELLO CS14874

2. TELSTRA

3. Conduct, sort and analyze sources
and resources collected from user
testing to improve the user
experience.
DATA
ANALYSIST

4. DATA
ANALYSIS
Data analysis involves gathering various factors
related to both the user and the product to inform
future decisions aimed at improving the user
experience. These factors are categorized into two
types of data: primary and secondary. Primary data is
obtained through direct methods such as tests and
interviews, where the study is built from the ground
up. Secondary data, on the other hand, is collected
from pre-existing sources, such as industry reports,
news articles, or online questionnaires, where the
information has already been gathered by others.
PRIMARY
SECONDARY

5. 01
KNOW MORE
POINTS ABOUT
THE TARGET
MARKET
02 03 04
BETTER
DECISION
MAKING
CREATE
TARGET
STRATEGIES
AND
MINIMIZE
RISKS
IDENTIFY NEW
OPPORTUNITIES
FOR THE
SERVICE AND
THE USER.
The importance of data analysis

6. What is?
RE-IDENTIFICATION
OF DATA
It is the process by which users' data are protected
from being disclosed, hiding personal data, for example
instead of saying the specific address, only the country
is specified, saying that someone lives in Australia,
(Radevska, 2024), mainly so that people are not
scammed, for ethics and to improve the participation of
users.
Why is important for
marketing?
You can share with other people in an organization data
that is not easily accessible or even not accessible at all.
In this case if we are talking about the marketing
department, they are in charge of promoting a product,
so the information they handle and receive is very
important to protect us and our user.

7. KEY LEGISLATIVE REQUIREMENTS RELATING TO
DATA ANALYSIS IN AUSTRALIA: THE PRIVACY ACT
1988
People’s rights in relation to the collection,
use and sharing of their personal information.
“Data used for data analytics may include
personal information, and the activities will
therefore be subject to the Privacy Act.
However, in many cases, these activities do
not require the use of personal information.
In these cases, organisations may choose to
use de-identified information.” (Australian
Gov, 2018)

8. EXAMPLES OF SOURCES OF INFORMATION
FOR DATA ANALYSIS FOR THE AGENCY
AND THE PROJECT
Transformation of the
information collected
to receive more
effective results.
test
survey
interview

10. IMPORTANT OF RELIABLE DATA
01
02
03
04
05
BUILD TRUST
IMPROVE OVERALL OUTCOMES
GAIN INSIGHTS
AVOID PITFALLS
SAVE RESOURCES

11. Data Timeliness
THE IMPORTANCE OF
Data timeliness is important
because it affects the
relevance, usefulness, and
reliability of data. Data that
is outdated, delayed, or
inconsistent can lead to poor
decisions, wasted resources,
and missed opportunities.
(Link,2023)
The validity and
authority of data
Enhances the overall quality and integrity
accuracy of findings
The relevance of the
data for the audience
You can gain a better
understanding of who your
audience is, what they want, and
how you can grab their
attention. You'll also be able to
understand their behaviour and
how their behaviour changes.

12. AVOID BIAS
Double-check the
result
work with two or more
people. Check for
inconsistency
Understand the
importance of going
through the data
carefully
STRATEGY N°1 STRATEGY N°2 STRATEGY N°3

13. CONCLUSION OF THE
PRESENTED
INFORMATION

14. THANK'S FOR
WATCHING
ANY QUESTIONS?

15. Una estrategia en 6 pasos para mejorar la experiencia del usuario (no date) Hotjar.com. Available at: https://www.hotjar.com/es/diseno-ux/analisis/
(Accessed: August 10, 2024).
5 key reasons why data analytics is important to business (no date) Upenn.edu. Available at: https://lpsonline.sas.upenn.edu/features/5-key-reasons-
why-data-analytics-important-business (Accessed: August 10, 2024).
Aela, F. G. e. (2022) “UX Research Data Analysis: A step-by-step,” Aela School - Where Ambitious Designers Thrive. Aela, 24 June. Available at:
https://aelaschool.com/en/research-en/ux-research-data-analysis-step/ (Accessed: August 10, 2024).
“Privacy and de-identified data” (no date). Available at: https://www.oic.qld.gov.au/guidelines/for-government/guidelines-privacy-
principles/anonymity/privacy-and-de-identification (Accessed: August 10, 2024).
(No date) Cmu.edu. Available at: https://insights.sei.cmu.edu/documents/4593/2007_016_102_67237.pdf (Accessed: August 10, 2024).
statistical-data-integration (2013) Privacy Act 1988, Gov.au. Available at: https://statisticaldataintegration.abs.gov.au/topics/legal-and-policy-
considerations/privacy-act-1988 (Accessed: August 10, 2024).
OAIC (2023) Guide to data analytics and the Australian Privacy Principles, OAIC. Available at: https://www.oaic.gov.au/privacy/privacy-guidance-for-
organisations-and-government-agencies/more-guidance/guide-to-data-analytics-and-the-australian-privacy-principles (Accessed: August 10, 2024).
Mudassar, T. (2024) The importance of accurate data in decision making, Linkedin.com. Available at: https://www.linkedin.com/pulse/importance-
accurate-data-decision-making-talha-mudassar-duk3f (Accessed: August 10, 2024).
“Different sources of data analysis” (2024). Geeksforgeeks. Available at: https://www.geeksforgeeks.org/different-sources-of-data-for-data-analysis/.
Manning, K. (2022) “Audience analysis: Understanding your audience through data,” Bigwave Marketing, 13 July. Available at:
https://bigwave.co.uk/blog/audience-analysis-understanding-your-audience-through-data/ (Accessed: August 10, 2024).
Sturm, B. L. and Flexer, A. (no date) Why validity is important?, SciSpace - Question. Available at: https://typeset.io/questions/why-validity-is-
important-5gl14upn51 (Accessed: August 10, 2024).
REFERENCES