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woolies

Woolies' Self-service Technologies Immersive Futures

Project type

  • UX Research

  • Project Management

Tools

  • Figma

  • FigJam

Year

2023

Team

Team of 3 including myself

Speculative Client

My roles

  • Project management

  • Leading user research

  • Documentation

  • Facilitating collaborative and design workshop sessions

  • Interview, conducting the research

  • Presentation

  • Poster and GUI design

Background

Woolworths, a prominent service company in the Australian supermarket industry, has embarked on a new policy initiative to foster technology innovation through 2033, primarily focusing on enhancing automation and self-service capabilities in various daily activities and user interactions.

As a part of Woolworths' Innovation and Technology department, our design team has been assigned the task of conducting research into the future expectations and visions of user interactions with self-service technologies, specifically within Woolworths' central supermarkets where both assisted self-checkouts and Scan&Go systems are available.

To tackle this challenge, our team adopted a Speculative Design approach, developing a speculative design experiential scenario based on qualitative research insights from self-checkout services’ users and customers.

Design
Outcome
Poster

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Project Goals

  • Research users' future visions and expectations for interacting with self-service payment/checkout technologies at Woolworths Supermarkets in 2033 (10 years from now)

​

  • Develop a speculative, experimental scenario based on this future context to inspire realistic design solutions

​

  • Present speculative technologies and solutions in design workshops with specific deliverables

​

For this UX research case study, the focus is primarily on the first two goals.

Personal Goals

  • Challenge myself in the Project Management role of an end-to-end UX research project

​

  • Gain understanding and insights into a complete UX research process and its applicable methodologies.

Research Process

Background Research

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Research Plan

Research Methodology & Data Collection

Our approach centres on qualitative research methods inspired by the Design Ethnography approach, emphasising deep insights into participants' sensory and experiential aspects of daily life. We employ methods like observations, surveys, and in-depth interviews, utilising sensory tools like photography and audio recordings to collect data.

The collected data will be analysed using techniques like affinity maps to gather detailed insights, which will be visualised further into personas and empathy maps. These insights will drive the creation of User Journey Maps for present experience and future expectations and generate a speculative experiential scenario that explores the users' envisioned future possibilities. This scenario aims to envision, anticipate, and comprehend users' future interactions with emerging technologies.​

Deliverables

  • Data from observation, survey, and in-depth interviews

  • Affinity maps

  • Personas

  • Empathy maps

  • User journey maps (present experience and future expectation)

  • Speculative experiential scenario proposal

Data
Collection

Observation

  Assisted Checkout  

observation 1.png

  Scan&Go  

observation 2.png

Survey

We conducted the Future of Self-checkout Technologies and Experience survey to assess more participants' general feelings and thoughts (negative, neutral, positive) about their self-checkout experience for later analysis.

 

The survey was structured as follows:

  1. Demographic Information  

  • Gender

  • Age range

  • Nationality

  • Occupation

  • Grocery shopping habits

  3. Future visions for self-checkout experience  

  • Future visions for self-service checkout technologies that users find appealing

​

  • Potential worries or apprehensions regarding these types of technologies

  2. Current self-checkout experience at Woolworths  

  • Types of self-service checkout technology used (Assisted checkout / Scan&Go)

​

  • Positive aspects or features appreciated in Woolworths' self-checkout technologies and experience

​

  • Aspects or features of Woolworths' checkout technologies and experience found unfavourable

​

  • Overall satisfaction with the self-service checkout experience at Woolworths

​

  • Desired improvements in Woolworths' checkout experience

In-depth Interview Plan

  1. Interview Goals  

The in-depth interviews aim to delve deeper and gain a comprehensive understanding of user perspectives, emotions, preferences, and pain points related to self-checkout technologies.

 

These insights will be used to identify highlight patterns and create informed scenarios to enhance the self-checkout experience at Woolworths.

  2. Location  

  3. Participant  

  • Online

  • Face-to-face

  • Interviewers: All team members

  • Participants: at least 3 people

  4. Interview materials  

In-depth Interview Insights

  1. Rewards and discounts  

  • Users appreciate rewards being automatically added during payment, avoiding extra activation steps.

  • Some users face issues where discounts don't appear during check-out, requiring staff assistance.

  • Users express a desire for simplified reward systems.

  2. Perception of self-checkout technologies at Woolworths  

  • Some users see little difference between Scan&Go and traditional self-checkout, as both involve scanning items.

  • Users wish for smoother, lag-free, and glitch-free motion in the self-checkout screens.

  • Users generally like the current system but are open to more convenient technologies.

  • Users sometimes encounter inaccurate price labels, leading to concerns about pricing transparency.

  • Users find self-checkout suitable for a small number of items but frustrating for larger purchases, citing an average purchase of 20 items as an example.

  3. Compulsive buying and Data trust  

  • Some users are concerned about impulsive buying and overeating when items are automatically scanned.

  • Users generally trust corporations to use customer data responsibly.

Analysis

Affinity Map

Mapping common responses
from surveys and in-depth interviews about check-out experiences

  Future Experience Insights  

  • Quick & Easy

  • No/Short queues

  • Spacious bagging area

  • Ethical design & technology

  • Technology with no errors

  • Personalised reward points collection

  Considered Technologies  

  • Smart bagging area

  • Automatic item scanning

  • All-in-one scan (Profile, Payment, Rewards, Exit)

affinity map 1.png
affinity map 5.png

Personas

persona 1.png
persona 2.png

Empathy Map

  Primary Persona  

empathy map 1.png

  Secondary Persona  

empathy map 2.png

User Scenario

The User Scenario presents a brief narrative detailing the specific situation and interactions of our chosen persona during a grocery shopping experience at Woolworths.

 

This scenario aids in mapping the user journey and analysing the persona’s actions, emotions, pain points, and future expectations regarding self-service technologies.

user scenario.png

User Journey Map

Current Experience

current UJM.png

Future Experience

future UJM.png

Journey Map Summary

  • The user, without hesitation, pursues the option of self-checkout as she is aware of the quick and easy process.

​

  • The user doesn’t have to worry about the struggle of scanning the items with her belongings in one hand and her shopping bag with the items in the other. She can simply put all the items as it is on the smart counter.

​

  • The user is confident with her points being used or collected since she pays for her items through her Woolworths account by scanning the QR code. Her account will hold all her information, such as purchase histories, invoices, rewards, etc.

​

  • As the user is done quickly with their checkout, they reduce the wait time for other users.

​

  • Overall, the smart counter allows the user a quick and hassle-free self-checkout for large amounts of purchases even on spontaneous visits.

Experience
Proposal

Combining the functionalities and interactions of assisted checkout, Scan&Go checkout technology and smart AI-powered counters, we present the following design solution for the problems discovered through this research.

Imagine a self-serving smart checkout counter with ample space, deep enough to hold at least 15 - 20 items.

 

It operates autonomously and effortlessly, scanning the items and handling the entire process simultaneously, such as

 

Profile --> Payment --> Rewards --> Exit

“ Solid introduction—very clear. Secondary research on two tech options is well-executed. Future tech secondary research is particularly strong, utilizing brief workshop templates effectively for project clarification. 

 

The presentation's order is well-structured. While ethnographic techniques and data collection are explained in detail, the slides remain text-heavy. The affinity map incorporates expectation pain points, and findings are expressed clearly and succinctly, grounded in thorough data collection. 

 

Personas are effectively presented. The user journey, based on SSC's experience, is detailed and there are commendable design ideas, demonstrating empathetic consideration towards users."

Paulina, Studio Lecturer

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Thank you
for your attention!

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© 2024 Phung Linh

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