Freshroom

Freshroom

Freshroom

Freshroom

Freshroom

Next-Generation Smart AI Grocery Shopping



Next-Generation Smart AI Grocery Shopping



Next-Generation Smart AI Grocery Shopping



Next-Generation Smart AI Grocery Shopping



Next-Generation Smart AI Grocery Shopping



Freshroom is an online AI grocery shopping app, and it's my first UI/UX project. While working in a food delivery startup in the past, I had some ideas to make the grocery shopping experience more enjoyable and efficient. With this project, I aim to bring my ideas to life effectively.

Freshroom is an online AI grocery shopping app, and it's my first UI/UX project. While working in a food delivery startup in the past, I had some ideas to make the grocery shopping experience more enjoyable and efficient. With this project, I aim to bring my ideas to life effectively.

Project Duration

6 weeks (April 2023)

Project Duration

6 weeks (April 2023)

Product

Grocery Shopping

Product

Grocery Shopping

Tools

Tools

Team Members

1

Team Members

1

My Role

Product Designer

UX Research

My Role

Product Designer

UX Research

Device

Desk


Device

Mobile

Freshroom is an online AI grocery shopping app, and it's my first UI/UX project. While working in a food delivery startup in the past, I had some ideas to make the grocery shopping experience more enjoyable and efficient. With this project, I aim to bring my ideas to life effectively.

Project Duration

6 weeks (April 2023)

Product

Grocery Shopping

Tools

Team Members

1

My Role

Product Designer

UX Research

Device

Desk


Device

Mobile

Freshroom is an online AI grocery shopping app, and it's my first UI/UX project. While working in a food delivery startup in the past, I had some ideas to make the grocery shopping experience more enjoyable and efficient. With this project, I aim to bring my ideas to life effectively.

Project Duration

6 weeks (April 2023)

Product

Grocery Shopping

Tools

Team Members

1

My Role

Product Designer

UX Research

Device

Desk


Device

Mobile

Freshroom is an online AI grocery shopping app, and it's my first UI/UX project. While working in a food delivery startup in the past, I had some ideas to make the grocery shopping experience more enjoyable and efficient. With this project, I aim to bring my ideas to life effectively.

Project Duration

6 weeks (April 2023)

Product

Grocery Shopping

Tools

Team Members

1

My Role

Product Designer

UX Research

Device

Desk


Device

Mobile

Why Should I Care?

Why Should I Care?

Why Should I Care?

Why Should I Care?

Why Should I Care?

Trending

Trending

Online grocery shopping has revolutionized the way people buy groceries, offering convenience and home delivery, making it a popular choice.

Online grocery shopping has revolutionized the way people buy groceries, offering convenience and home delivery, making it a popular choice.

Online grocery shopping has revolutionized the way people buy groceries, offering convenience and home delivery, making it a popular choice.

Online grocery shopping has revolutionized the way people buy groceries, offering convenience and home delivery, making it a popular choice.

Online grocery shopping has revolutionized the way people buy groceries, offering convenience and home delivery, making it a popular choice.

Statistics

Statistics

According to a 2022 survey on grocery shopping behavior, there is a shift from offline to online grocery shopping habits. Here are the chart data representing the results of the survey.

According to a 2022 survey on grocery shopping behavior, there is a shift from offline to online grocery shopping habits. Here are the chart data representing the results of the survey.

According to a 2022 survey on grocery shopping behavior, there is a shift from offline to online grocery shopping habits. Here are the chart data representing the results of the survey.

According to a 2022 survey on grocery shopping behavior, there is a shift from offline to online grocery shopping habits. Here are the chart data representing the results of the survey.

According to a 2022 survey on grocery shopping behavior, there is a shift from offline to online grocery shopping habits. Here are the chart data representing the results of the survey.

Problem

Problem

Why can't grocery shopping be simpler, faster, and more consistent in terms of product quality, addressing the common hassles customers face?

Why can't grocery shopping be simpler, faster, and more consistent in terms of product quality, addressing the common hassles customers face?

Why can't grocery shopping be simpler, faster, and more consistent in terms of product quality, addressing the common hassles customers face?

Why can't grocery shopping be simpler, faster, and more consistent in terms of product quality, addressing the common hassles customers face?

Why can't grocery shopping be simpler, faster, and more consistent in terms of product quality, addressing the common hassles customers face?

Findings From The Problem

Findings From The Problem

  • Users not finding products that meet their needs can result in wastage and economic losses.

  • Mismatching a business's product with its target audience can result in negative user perceptions, bad reviews, and reduced customer retention.

  • Users not finding products that meet their needs can result in wastage and economic losses.

  • Mismatching a business's product with its target audience can result in negative user perceptions, bad reviews, and reduced customer retention.

  • Users not finding products that meet their needs can result in wastage and economic losses.

  • Mismatching a business's product with its target audience can result in negative user perceptions, bad reviews, and reduced customer retention.

  • Users not finding products that meet their needs can result in wastage and economic losses.

  • Mismatching a business's product with its target audience can result in negative user perceptions, bad reviews, and reduced customer retention.

  • Users not finding products that meet their needs can result in wastage and economic losses.

  • Mismatching a business's product with its target audience can result in negative user perceptions, bad reviews, and reduced customer retention.

To determine user perception of online grocery shopping services & our competitors, we conducted research with the following goals in mind:

  • Competitive landscape and brand preference

  • Consumers purchasing & consuming behavior

  • User satisfaction in relation to the system

  • The motivation behind consumers’ usage of apps

To determine user perception of online grocery shopping services & our competitors, we conducted research with the following goals in mind:

  • Competitive landscape and brand preference

  • Consumers purchasing & consuming behavior

  • User satisfaction in relation to the system

  • The motivation behind consumers’ usage of apps

User Interviews & Surveys

User Interviews & Surveys

User Journey Maps

User Journey Maps

Secondary Research

Secondary Research

Competitor Analysis

Competitor Analysis

To fulfill the research goal, the below research methods were used:


To fulfill the research goal, the below research methods were used:


Research Goals

Research Goals

Survey

  • Age Range: 24-60

  • Number of Participants: 20


Key Findings

  • 52% shop for groceries every week.

  • 38% have used online grocery shopping services.

  • 48% spend less than 1 hour per week shopping for groceries.

  • 48% shop online due to convenience and a wider range of options.

  • 50% have purchased the wrong product when using online grocery shopping apps.

  • 32% find a lack of product information to be a problem with online grocery shopping services.

  • 94% have bought products they never used due to mismatched items when shopping online.

  • 82% find it challenging to discover suitable products online.

  • 52% are interested in a personalized shopping experience.

Survey

  • Age Range: 24-60

  • Number of Participants: 20


Key Findings

  • 52% shop for groceries every week.

  • 38% have used online grocery shopping services.

  • 48% spend less than 1 hour per week shopping for groceries.

  • 48% shop online due to convenience and a wider range of options.

  • 50% have purchased the wrong product when using online grocery shopping apps.

  • 32% find a lack of product information to be a problem with online grocery shopping services.

  • 94% have bought products they never used due to mismatched items when shopping online.

  • 82% find it challenging to discover suitable products online.

  • 52% are interested in a personalized shopping experience.

Survey

  • Age Range: 24-60

  • Number of Participants: 20


Key Findings

  • 52% shop for groceries every week.

  • 38% have used online grocery shopping services.

  • 48% spend less than 1 hour per week shopping for groceries.

  • 48% shop online due to convenience and a wider range of options.

  • 50% have purchased the wrong product when using online grocery shopping apps.

  • 32% find a lack of product information to be a problem with online grocery shopping services.

  • 94% have bought products they never used due to mismatched items when shopping online.

  • 82% find it challenging to discover suitable products online.

  • 52% are interested in a personalized shopping experience.

Survey

  • Age Range: 24-60

  • Number of Participants: 20


Key Findings

  • 52% shop for groceries every week.

  • 38% have used online grocery shopping services.

  • 48% spend less than 1 hour per week shopping for groceries.

  • 48% shop online due to convenience and a wider range of options.

  • 50% have purchased the wrong product when using online grocery shopping apps.

  • 32% find a lack of product information to be a problem with online grocery shopping services.

  • 94% have bought products they never used due to mismatched items when shopping online.

  • 82% find it challenging to discover suitable products online.

  • 52% are interested in a personalized shopping experience.

Survey

  • Age Range: 24-60

  • Number of Participants: 20


Key Findings

  • 52% shop for groceries every week.

  • 38% have used online grocery shopping services.

  • 48% spend less than 1 hour per week shopping for groceries.

  • 48% shop online due to convenience and a wider range of options.

  • 50% have purchased the wrong product when using online grocery shopping apps.

  • 32% find a lack of product information to be a problem with online grocery shopping services.

  • 94% have bought products they never used due to mismatched items when shopping online.

  • 82% find it challenging to discover suitable products online.

  • 52% are interested in a personalized shopping experience.

Weekly Consumption

On Average

$100~$200/Week

Weekly Consumption

On Average

$100~$200/Week

Consumption Pressure

100%

No financial burden

Consumption Pressure

100%

No financial burden

Healthy Concerns

60%

Care about healthy diet

Healthy Concerns

60%

Care about healthy diet

When Buying Something

100%

They have a priority list

When Buying Something

100%

They have a priority list

New Products

80%

Willing to try new products

New Products

80%

Willing to try new products

Why Online Shopping

100%

Cheaper prices & convenient

Why Online Shopping

100%

Cheaper prices & convenient

Disappointment

80%

Unavailable products

Disappointment

80%

Unavailable products

Unavailable Products

100%

Find an alternative product

Unavailable Products

100%

Find an alternative product

Product Info

100%

Concise and consistent

Product Info

100%

Concise and consistent

Qualitative Research

  • Age Range: 25-65

  • Number of Participants: 5

  • Requirement: Do online grocery shopping

  • Location: Web conference


Key Findings

Qualitative Research

  • Age Range: 25-65

  • Number of Participants: 5

  • Requirement: Do online grocery shopping

  • Location: Web conference




Key Findings

Qualitative Research

  • Age Range: 25-65

  • Number of Participants: 5

  • Requirement: Do online grocery shopping

  • Location: Web conference




Key Findings

Qualitative Research

  • Age Range: 25-65

  • Number of Participants: 5

  • Requirement: Do online grocery shopping

  • Location: Web conference




Key Findings

Qualitative Research

  • Age Range: 25-65

  • Number of Participants: 5

  • Requirement: Do online grocery shopping

  • Location: Web conference


Key Findings

During the project, while learning AI to improve my work efficiency, I trained an AI to optimize question relevance using SEO. Through A/B testing with my own and AI-generated questions, the survey's completion rate increased by 12% in terms of answered questions.


During the project, while learning AI to improve my work efficiency, I trained an AI to optimize question relevance using SEO. Through A/B testing with my own and AI-generated questions, the survey's completion rate increased by 12% in terms of answered questions.


During the project, while learning AI to improve my work efficiency, I trained an AI to optimize question relevance using SEO. Through A/B testing with my own and AI-generated questions, the survey's completion rate increased by 12% in terms of answered questions.


During the project, while learning AI to improve my work efficiency, I trained an AI to optimize question relevance using SEO. Through A/B testing with my own and AI-generated questions, the survey's completion rate increased by 12% in terms of answered questions.


During the project, while learning AI to improve my work efficiency, I trained an AI to optimize question relevance using SEO. Through A/B testing with my own and AI-generated questions, the survey's completion rate increased by 12% in terms of answered questions.


My new attempt:

My new attempt:

My new attempt:

My new attempt:

My new attempt:

Research Conclusion

Based on quantitative research, qualitative research, and competitive analysis, we concluded that

  • Many grocery shopping apps offer similar features, indicating a highly homogeneous market.

  • Users have no strong preference for which app they want to use, but they are looking for a new online shopping experience, such as a smarter product match feature, a quicker shopping search tool, and a better guarantee of product quality control.

  • To differentiate ourselves in this competitive landscape, we need a grocery shopping app with a unique and exceptional user experience.


Research Conclusion

Based on quantitative research, qualitative research, and competitive analysis, we concluded that

  • Many grocery shopping apps offer similar features, indicating a highly homogeneous market.

  • Users have no strong preference for which app they want to use, but they are looking for a new online shopping experience, such as a smarter product match feature, a quicker shopping search tool, and a better guarantee of product quality control.

  • To differentiate ourselves in this competitive landscape, we need a grocery shopping app with a unique and exceptional user experience.


Research Conclusion

Based on quantitative research, qualitative research, and competitive analysis, we concluded that

  • Many grocery shopping apps offer similar features, indicating a highly homogeneous market.

  • Users have no strong preference for which app they want to use, but they are looking for a new online shopping experience, such as a smarter product match feature, a quicker shopping search tool, and a better guarantee of product quality control.

  • To differentiate ourselves in this competitive landscape, we need a grocery shopping app with a unique and exceptional user experience.


Research Conclusion

Based on quantitative research, qualitative research, and competitive analysis, we concluded that

  • Many grocery shopping apps offer similar features, indicating a highly homogeneous market.

  • Users have no strong preference for which app they want to use, but they are looking for a new online shopping experience, such as a smarter product match feature, a quicker shopping search tool, and a better guarantee of product quality control.

  • To differentiate ourselves in this competitive landscape, we need a grocery shopping app with a unique and exceptional user experience.


Research Conclusion

Based on quantitative research, qualitative research, and competitive analysis, we concluded that

  • Many grocery shopping apps offer similar features, indicating a highly homogeneous market.

  • Users have no strong preference for which app they want to use, but they are looking for a new online shopping experience, such as a smarter product match feature, a quicker shopping search tool, and a better guarantee of product quality control.

  • To differentiate ourselves in this competitive landscape, we need a grocery shopping app with a unique and exceptional user experience.


Competitive Analysis



Competitive Analysis



Competitive Analysis



Competitive Analysis



Competitive Analysis



Click - Zoom In

Tap - Zoom In


I want a smarter shopping experience that offers faster and more accurate matching of my needs.


I want a smarter shopping experience that offers faster and more accurate matching of my needs.

User Journey Map

I made a visual representation of the user’s journey across all touchpoints of the application to understand where we can improve the user experience.

User Journey Map

I made a visual representation of the user’s journey across all touchpoints of the application to understand where we can improve the user experience.

User Journey Map

I made a visual representation of the user’s journey across all touchpoints of the application to understand where we can improve the user experience.

User Journey Map

I made a visual representation of the user’s journey across all touchpoints of the application to understand where we can improve the user experience.

User Journey Map

I made a visual representation of the user’s journey across all touchpoints of the application to understand where we can improve the user experience.

Click - Zoom In

Tap - Zoom In

Card Sorting

The composition's arrangement presents users' ideas on how different topics are categorized under various thematic layers.

The entire activity was conducted onsite with people who often do online grocery shopping. There was some confusion during the exercise as users found it challenging to group them into different categories. However, the process proceeded smoothly, and all participants sorted the cards into different groups.

Card Sorting

The composition's arrangement presents users' ideas on how different topics are categorized under various thematic layers.

The entire activity was conducted onsite with people who often do online grocery shopping. There was some confusion during the exercise as users found it challenging to group them into different categories. However, the process proceeded smoothly, and all participants sorted the cards into different groups.

Card Sorting

The composition's arrangement presents users' ideas on how different topics are categorized under various thematic layers.

The entire activity was conducted onsite with people who often do online grocery shopping. There was some confusion during the exercise as users found it challenging to group them into different categories. However, the process proceeded smoothly, and all participants sorted the cards into different groups.

Card Sorting

The composition's arrangement presents users' ideas on how different topics are categorized under various thematic layers.

The entire activity was conducted onsite with people who often do online grocery shopping. There was some confusion during the exercise as users found it challenging to group them into different categories. However, the process proceeded smoothly, and all participants sorted the cards into different groups.

Card Sorting

The composition's arrangement presents users' ideas on how different topics are categorized under various thematic layers.

The entire activity was conducted onsite with people who often do online grocery shopping. There was some confusion during the exercise as users found it challenging to group them into different categories. However, the process proceeded smoothly, and all participants sorted the cards into different groups.

providing intelligent search functionality

Categorizing product features

How might we

ensure that Renée gets the correct groceries so she can trust her online shopping experience?

How might we

ensure that Renée gets the correct groceries so she can trust her online shopping experience?

How might we

ensure that Renée gets the correct groceries so she can trust her online shopping experience?

How might we

ensure that Renée gets the correct groceries so she can trust her online shopping experience?

How might we

ensure that Renée gets the correct groceries so she can trust her online shopping experience?

Providing instructional short recipe videos

Provide live Manufacturing process

How might we

inspire Renée to create a delicious meal for her family, enhancing their dining experience and quality time together?

How might we

inspire Renée to create a delicious meal for her family, enhancing their dining experience and quality time together?

How might we

inspire Renée to create a delicious meal for her family, enhancing their dining experience and quality time together?

How might we

inspire Renée to create a delicious meal for her family, enhancing their dining experience and quality time together?

Allow Access

Match

No

Yes

Allow Access

No

Yes

Yes

No

Landing Page

AI search

chat window

Access request

AI search

voice control page

Matched product page

Match failed page

Product page

Access request

Livestreaming page

To better guide everyone through the user flow designed based on the "How might we" approach, I have integrated the HMW, user flow, and wireframes together.

To better guide everyone through the user flow designed based on the "How might we" approach, I have integrated the HMW, user flow, and wireframes together.

To better guide everyone through the user flow designed based on the "How might we" approach, I have integrated the HMW, user flow, and wireframes together.

To better guide everyone through the user flow designed based on the "How might we" approach, I have integrated the HMW, user flow, and wireframes together.

To better guide everyone through the user flow designed based on the "How might we" approach, I have integrated the HMW, user flow, and wireframes together.

HMW & Wireflows

HMW & Wireflows

Providing instructional short recipe videos

Provide live Manufacturing process

How might we

inspire Renée to create a delicious meal for her family, enhancing their dining experience and quality time together?

Allow Access

No

Yes

Product page

Access request

Livestreaming page

Night Mode

Night Mode

Night Mode

Night Mode

Night Mode

Solution 1

Intelligent search functionality - AI Chat

Solution 1

Intelligent search functionality - AI Chat

Solution 1

Intelligent search functionality - AI Chat

Solution 1

Intelligent search functionality - AI Chat

Solution 1

Intelligent search functionality - AI Chat

We believe that instead of relying on searching keywords through a search bar to find potentially suitable products, it is more advantageous to utilize AI for intelligent matching with user needs. Additionally, this approach helps users save time and effort spent on searching.

We believe that instead of relying on searching keywords through a search bar to find potentially suitable products, it is more advantageous to utilize AI for intelligent matching with user needs. Additionally, this approach helps users save time and effort spent on searching.

We believe that instead of relying on searching keywords through a search bar to find potentially suitable products, it is more advantageous to utilize AI for intelligent matching with user needs. Additionally, this approach helps users save time and effort spent on searching.

We believe that instead of relying on searching keywords through a search bar to find potentially suitable products, it is more advantageous to utilize AI for intelligent matching with user needs. Additionally, this approach helps users save time and effort spent on searching.

We believe that instead of relying on searching keywords through a search bar to find potentially suitable products, it is more advantageous to utilize AI for intelligent matching with user needs. Additionally, this approach helps users save time and effort spent on searching.

Solution 2

Intelligent search functionality - AI Voice

Solution 2

Intelligent search functionality - AI Voice

Solution 2

Intelligent search functionality - AI Voice

Solution 2

Intelligent search functionality - AI Voice

Solution 2

Intelligent search functionality - AI Voice

We believe that users have the option to quickly search for products through AI Chat or AI Voice. Additionally, considering user preferences, Freshroom also retains the step of searching by product category.

We believe that users have the option to quickly search for products through AI Chat or AI Voice. Additionally, considering user preferences, Freshroom also retains the step of searching by product category.

We believe that users have the option to quickly search for products through AI Chat or AI Voice. Additionally, considering user preferences, Freshroom also retains the step of searching by product category.

We believe that users have the option to quickly search for products through AI Chat or AI Voice. Additionally, considering user preferences, Freshroom also retains the step of searching by product category.

We believe that users have the option to quickly search for products through AI Chat or AI Voice. Additionally, considering user preferences, Freshroom also retains the step of searching by product category.

Solution 3

Inspiration - Short-form video and live streaming

Solution 3

Inspiration - Short-form video and live streaming

Solution 3

Inspiration - Short-form video and live streaming

Solution 3

Inspiration - Short-form video and live streaming

Solution 3

Inspiration - Short-form video and live streaming

We believe that users can view the manufacturing process of products, gaining a more comprehensive understanding. This also provides an opportunity for interaction between consumers and manufacturers.

We believe that users can view the manufacturing process of products, gaining a more comprehensive understanding. This also provides an opportunity for interaction between consumers and manufacturers.

We believe that users can view the manufacturing process of products, gaining a more comprehensive understanding. This also provides an opportunity for interaction between consumers and manufacturers.

We believe that users can view the manufacturing process of products, gaining a more comprehensive understanding. This also provides an opportunity for interaction between consumers and manufacturers.

We believe that users can view the manufacturing process of products, gaining a more comprehensive understanding. This also provides an opportunity for interaction between consumers and manufacturers.

  • 100% of users utilized the Autofill feature to complete the process of filling in delivery addresses, payment addresses, applying discounts, and scanning cards

  • 100% of users all expressed agreement and willingness to use the order tracking button provided on the order confirmation page

  • 100% of users agreed that the AI search feature eliminated the need for manual inputting of information

  • Using Autofill for the payment process was 68% faster compared to manual entry

  • 100% of users utilized the Autofill feature to complete the process of filling in delivery addresses, payment addresses, applying discounts, and scanning cards

  • 100% of users all expressed agreement and willingness to use the order tracking button provided on the order confirmation page

  • 100% of users agreed that the AI search feature eliminated the need for manual inputting of information

  • Using Autofill for the payment process was 68% faster compared to manual entry

  • 100% of users utilized the Autofill feature to complete the process of filling in delivery addresses, payment addresses, applying discounts, and scanning cards

  • 100% of users all expressed agreement and willingness to use the order tracking button provided on the order confirmation page

  • 100% of users agreed that the AI search feature eliminated the need for manual inputting of information

  • Using Autofill for the payment process was 68% faster compared to manual entry

  • 100% of users utilized the Autofill feature to complete the process of filling in delivery addresses, payment addresses, applying discounts, and scanning cards

  • 100% of users all expressed agreement and willingness to use the order tracking button provided on the order confirmation page

  • 100% of users agreed that the AI search feature eliminated the need for manual inputting of information

  • Using Autofill for the payment process was 68% faster compared to manual entry

  • 100% of users utilized the Autofill feature to complete the process of filling in delivery addresses, payment addresses, applying discounts, and scanning cards

  • 100% of users all expressed agreement and willingness to use the order tracking button provided on the order confirmation page

  • 100% of users agreed that the AI search feature eliminated the need for manual inputting of information

  • Using Autofill for the payment process was 68% faster compared to manual entry

Prioritization

After gathering all the feedback and suggestions from our users, my next task is to prioritize the content modifications. I am using a Priority Effort Matrix to assist with this process.

Prioritization


After gathering all the feedback and suggestions from our users, my next task is to prioritize the content modifications. I am using a Priority Effort Matrix to assist with this process.

Prioritization


After gathering all the feedback and suggestions from our users, my next task is to prioritize the content modifications. I am using a Priority Effort Matrix to assist with this process.

Prioritization


After gathering all the feedback and suggestions from our users, my next task is to prioritize the content modifications. I am using a Priority Effort Matrix to assist with this process.

Prioritization

After gathering all the feedback and suggestions from our users, my next task is to prioritize the content modifications. I am using a Priority Effort Matrix to assist with this process.

Tap - Zoom In

Tap - Zoom In

Light Mode

Light Mode

Light Mode

Light Mode

Light Mode

Solution

After shoppers find the products, they must scan them, and the backend algorithm will determine whether the scanned products match the ordered products.

Solution


After shoppers find the products, they must scan them, and the backend algorithm will determine whether the scanned products match the ordered products.

Solution


After shoppers find the products, they must scan them, and the backend algorithm will determine whether the scanned products match the ordered products.

Solution


After shoppers find the products, they must scan them, and the backend algorithm will determine whether the scanned products match the ordered products.

Solution

After shoppers find the products, they must scan them, and the backend algorithm will determine whether the scanned products match the ordered products.

Why

In my previous work experience, I noticed that shoppers frequently overlook product quantity details. For instance, users may order 2 items of a product, but the shopper only purchases 1 item. This discrepancy often results in time-consuming customer service resolutions and increased operational costs. To address this issue, I implemented 'foolproof operation steps'.

Why


In my previous work experience, I noticed that shoppers frequently overlook product quantity details. For instance, users may order 2 items of a product, but the shopper only purchases 1 item. This discrepancy often results in time-consuming customer service resolutions and increased operational costs. To address this issue, I implemented 'foolproof operation steps'.

Why


In my previous work experience, I noticed that shoppers frequently overlook product quantity details. For instance, users may order 2 items of a product, but the shopper only purchases 1 item. This discrepancy often results in time-consuming customer service resolutions and increased operational costs. To address this issue, I implemented 'foolproof operation steps'.

Why


In my previous work experience, I noticed that shoppers frequently overlook product quantity details. For instance, users may order 2 items of a product, but the shopper only purchases 1 item. This discrepancy often results in time-consuming customer service resolutions and increased operational costs. To address this issue, I implemented 'foolproof operation steps'.

Why

In my previous work experience, I noticed that shoppers frequently overlook product quantity details. For instance, users may order 2 items of a product, but the shopper only purchases 1 item. This discrepancy often results in time-consuming customer service resolutions and increased operational costs. To address this issue, I implemented 'foolproof operation steps.

Implementing Feedback

Implementing Feedback

Implementing Feedback

Implementing Feedback

Implementing Feedback

Users have provided valuable suggestions, including the need they are still looking for

  • A unique and efficient user interface that matches their product requirements

  • Ensuring 100% accuracy in shoppers' purchases is crucial for Freshroom

  • This involves addressing shopper quality control, which can be tackled through human-computer interaction

The solution lies in utilizing system recognition to identify product features, akin to facial recognition technology used for smartphone unlocking.

Users have provided valuable suggestions, including the need they are still looking for

  • A unique and efficient user interface that matches their product requirements

  • Ensuring 100% accuracy in shoppers' purchases is crucial for Freshroom

  • This involves addressing shopper quality control, which can be tackled through human-computer interaction

The solution lies in utilizing system recognition to identify product features, akin to facial recognition technology used for smartphone unlocking.

Users have provided valuable suggestions, including the need they are still looking for

  • A unique and efficient user interface that matches their product requirements

  • Ensuring 100% accuracy in shoppers' purchases is crucial for Freshroom

  • This involves addressing shopper quality control, which can be tackled through human-computer interaction

The solution lies in utilizing system recognition to identify product features, akin to facial recognition technology used for smartphone unlocking.

Users have provided valuable suggestions, including the need they are still looking for

  • A unique and efficient user interface that matches their product requirements

  • Ensuring 100% accuracy in shoppers' purchases is crucial for Freshroom

  • This involves addressing shopper quality control, which can be tackled through human-computer interaction

The solution lies in utilizing system recognition to identify product features, akin to facial recognition technology used for smartphone unlocking.

Users have provided valuable suggestions, including the need they are still looking for

  • A unique and efficient user interface that matches their product requirements

  • Ensuring 100% accuracy in shoppers' purchases is crucial for Freshroom

  • This involves addressing shopper quality control, which can be tackled through human-computer interaction

The solution lies in utilizing system recognition to identify product features, akin to facial recognition technology used for smartphone unlocking.

Advantages

  • It enables inexperienced shoppers to complete orders accurately

  • It requires no prior experience for shoppers to understand the process

  • It reduces costs associated with mistakes made by new shoppers

  • It facilitates rapid growth of positive shopper experiences

  • It lowers operational costs for customer service due to incorrect purchases

  • It enhances user trust in the platform

Advantages


  • It enables inexperienced shoppers to complete orders accurately

  • It requires no prior experience for shoppers to understand the process

  • It reduces costs associated with mistakes made by new shoppers

  • It facilitates rapid growth of positive shopper experiences

  • It lowers operational costs for customer service due to incorrect purchases

  • It enhances user trust in the platform

Advantages


  • It enables inexperienced shoppers to complete orders accurately

  • It requires no prior experience for shoppers to understand the process

  • It reduces costs associated with mistakes made by new shoppers

  • It facilitates rapid growth of positive shopper experiences

  • It lowers operational costs for customer service due to incorrect purchases

  • It enhances user trust in the platform

Advantages


  • It enables inexperienced shoppers to complete orders accurately

  • It requires no prior experience for shoppers to understand the process

  • It reduces costs associated with mistakes made by new shoppers

  • It facilitates rapid growth of positive shopper experiences

  • It lowers operational costs for customer service due to incorrect purchases

  • It enhances user trust in the platform

Advantages

  • It enables inexperienced shoppers to complete orders accurately

  • It requires no prior experience for shoppers to understand the process

  • It reduces costs associated with mistakes made by new shoppers

  • It facilitates rapid growth of positive shopper experiences

  • It lowers operational costs for customer service due to incorrect purchases

  • It enhances user trust in the platform

What I Learned


First, do not assume that users' answers during interviews align with their actual behavior. Many times, users are not aware of their true needs until provided with basic requirements, and only then can they give more feedback based on those needs. Therefore, when discussing product experiences with users, guide them based on the objectives we want to achieve.


Second, the importance of frequent communication cannot be overstated. To avoid the time and cost pressure caused by excessive design revisions, it is crucial to finalize the information architecture before creating low-fidelity screens. The key to determining the information architecture lies in engaging with various individuals, gathering more opinions, and conducting a more comprehensive and refined system design.

What I Learned


First, do not assume that users' answers during interviews align with their actual behavior. Many times, users are not aware of their true needs until provided with basic requirements, and only then can they give more feedback based on those needs. Therefore, when discussing product experiences with users, guide them based on the objectives we want to achieve.


Second, the importance of frequent communication cannot be overstated. To avoid the time and cost pressure caused by excessive design revisions, it is crucial to finalize the information architecture before creating low-fidelity screens. The key to determining the information architecture lies in engaging with various individuals, gathering more opinions, and conducting a more comprehensive and refined system design.

What I Learned


First, do not assume that users' answers during interviews align with their actual behavior. Many times, users are not aware of their true needs until provided with basic requirements, and only then can they give more feedback based on those needs. Therefore, when discussing product experiences with users, guide them based on the objectives we want to achieve.


Second, the importance of frequent communication cannot be overstated. To avoid the time and cost pressure caused by excessive design revisions, it is crucial to finalize the information architecture before creating low-fidelity screens. The key to determining the information architecture lies in engaging with various individuals, gathering more opinions, and conducting a more comprehensive and refined system design.

What I Learned


First, do not assume that users' answers during interviews align with their actual behavior. Many times, users are not aware of their true needs until provided with basic requirements, and only then can they give more feedback based on those needs. Therefore, when discussing product experiences with users, guide them based on the objectives we want to achieve.


Second, the importance of frequent communication cannot be overstated. To avoid the time and cost pressure caused by excessive design revisions, it is crucial to finalize the information architecture before creating low-fidelity screens. The key to determining the information architecture lies in engaging with various individuals, gathering more opinions, and conducting a more comprehensive and refined system design.

What I Learned


First, do not assume that users' answers during interviews align with their actual behavior. Many times, users are not aware of their true needs until provided with basic requirements, and only then can they give more feedback based on those needs. Therefore, when discussing product experiences with users, guide them based on the objectives we want to achieve.


Second, the importance of frequent communication cannot be overstated. To avoid the time and cost pressure caused by excessive design revisions, it is crucial to finalize the information architecture before creating low-fidelity screens. The key to determining the information architecture lies in engaging with various individuals, gathering more opinions, and conducting a more comprehensive and refined system design.