bargainbuddy

In today's fast-paced world, efficient UX/UI design is essential. Our research reveals that online shopping, once known for its convenience, has become less so. To address this, we introduce BargainBuddy, an app designed to maximize your time and money. Leveraging advanced AI, BargainBuddy finds the best deals on branded items in seconds, ensuring you never pay full price again. Features like smart search, personalized recommendations, and price alerts make it effortless to secure top discounts. Our intuitive interface allows easy comparison of deals across retailers and direct access to their websites, ensuring a seamless shopping experience. Save money and shop smarter with BargainBuddy.

  • UX/UI Designer

  • 2 Months

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Problem

Busy professionals face challenges when trying to quickly find and buy gifts online during short breaks, often resulting in frustration and uncertainty. How might we provide time-limited consumers with convenient ways to maximise the value of their money

SOLUTION

There is a need for a user-friendly online shopping interface that allows time limited professionals to shop efficiently within their time and budget constraints ensuring an overall positive experience, Our user-friendly interface lets you compare deals from various retailers and takes you straight to their websites for hassle-free and peace of mind shopping. We're focused on saving you time and  money whilst simultaneously providing a seamless experience.

OBJECTIVE

Quantifying the inconvenience of the

“convenient online shopping” 

Research Hypothesis-Interviews

Our research shows that online shopping is a time costly.

Our hypothesis is that searching for a product, comparing at least 3 deals and ensuring that you are getting the best price will take at least 5 minutes per product.

We will be asking our interviewees to do a similar task in the interview to measure this hypothesis

Our research shows that the average consumer has about 5 items in their shopping list/wishlist.

Our hypothesis is that the average consumer will have an average of 5 items of the shopping list/wishlist.

This will be a general question asked within our interview


Interview key findings

After our interview process we found some key finding from our interviews:

  • it took all interviewees an average of 2.5-3 minutes to find a product and compare 3 different prices.

  • Our interviewees had an average of 6 items in their shopping cart/wishlist 

  • 100% of interviewees try to look for the best deals

  • Some interviewees want the best deals but cannot be bothered to put in effort in doing so.

Basically…

3 mins per item × 6 items on wishlist

equals

20+ mins average online shop

NOTE: This does NOT guarantee that consumer gets best deal

USER PERSONA

  • 25-year-old UX Designer 

  • Constantly seeks new clothes, accessories, and gifts, 

  • She loves the convenience of online shopping but finds the process time-consuming and counterintuitive. 

  • With aspirations to buy her first home. Sophie always wants to get the best deal

  • She dreams to effortlessly scan and compare prices to find the best offers for any item.

Shopie Adams

Design Process

The process from early ideation, mid fidelty, A/B testing, user testing and feedback to high fidelty and the final product. 

Early Ideation

Mid Fidelty Prototypes

A/B Testing

Whilst creating our early low-fidelity and mid fidelity mockups, we wanted to test a couple of things. We aimed to make the website

  • Easy to understand

  • Visually appealing 

  • Usable 

  • Functional 

We decided to make 2 different variations of the product page as consumers will spend a lot of time on this specific page. 

Page A

Pros:

  • Very informative 

  • Simple interface 

  • Easy to understand

Users love the AI feature at the bottom

Page B

Pros:

  • Clean Interface

  • Simple

  • Easy to understand

When compared to page B majority of users prefer page A

User Testing & Feedback

What users say?

  1. “ I want to see like a wishlist/shopping cart, on this website.” 

  2. “ I’m really drawn to the idea of AI usage to help your make online shopping experience more convenient”

  3. “I really want to have a clear overview on the price, the differences, and the sales whilst scrolling through the website"

What users actually need?

1.Users had an expectation that BargainBuddy would include a wishlist. Due to exposure from other shopping websites have created the same expectation for the feature (Jakob’s Law) 

2. Users need AI to provide personalised recommendations (Hick's Law), simplified navigation (Fitts's Law), and streamline decision-making (Miller's Law), ensuring a fast, intuitive, and enjoyable online shopping experience.

3. Users need AI to provide clear, concise information on prices, differences, and sales (Miller's Law), with quick, intuitive access (Fitts's Law) while scrolling through the website.

Future Opportunities

  • Develop a mobile app version for convenient deal browsing on the go.

  • Introduce a loyalty programme to reward frequent users with exclusive deals.

  • Collaborate with more retailers to expand deal offerings

  • Conduct user testing to gather feedback and make iterative improvements.

  • Improve the overall user interface for a smoother browsing experience.

  • Implement advanced AI algorithms for personalised deal recommendations.

Final Prototype

Like what you see?

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