Crafting AI-Powered Product Search Tool
Crafting AI-Powered Product Search Tool
Crafting AI-Powered Product Search Tool
12 Weeks | UX Researcher | 4 Team Members
12 Weeks | UX Researcher | 4 Team Members
12 Weeks | UX Researcher | 4 Team Members
Overview
Overview
This project focuses on creating an AI-powered product search tool that simplifies research with curated data sources, saved searches, and personalized recommendations. Accessible across devices, it empowers users to make informed purchasing decisions.
This project focuses on creating an AI-powered product search tool that simplifies research with curated data sources, saved searches, and personalized recommendations. Accessible across devices, it empowers users to make informed purchasing decisions.
This project focuses on creating an AI-powered product search tool that simplifies research with curated data sources, saved searches, and personalized recommendations. Accessible across devices, it empowers users to make informed purchasing decisions.
90%
90%
Task Completion
Rate
Task Completion
Rate
40%
40%
Faster Search
Results
Faster Search
Results
35%
35%
Fewer Decision
Errors
Fewer Decision
Errors
THE CHALLENGE
Consumers often struggle to find the right product due to information overload and the complexity of decision-making processes.
Consumers often struggle to find the right product due to information overload and the complexity of decision-making processes.
Consumers often struggle to find the right product due to information overload and the complexity of decision-making processes.
THE CHALLENGE
Product discovery
Product discovery
We conducted user interviews to understand behaviors and expectations, uncovering key pain points to guide the design and ideation process.
• Users struggle to sift through vast amounts of product information.
• The overwhelming number of choices leads to decision paralysis.
• Difficulty in verifying product claims and reviews.
We conducted user interviews to understand behaviors and expectations, uncovering key pain points to guide the design and ideation process.
• Users struggle to sift through vast amounts of product information.
• The overwhelming number of choices leads to decision paralysis.
• Difficulty in verifying product claims and reviews.
We conducted user interviews to understand behaviors and expectations, uncovering key pain points to guide the design and ideation process.
• Users struggle to sift through vast amounts of product information.
• The overwhelming number of choices leads to decision paralysis.
• Difficulty in verifying product claims and reviews.
Key Findings Through Interviews
Key Findings Through Interviews
• Users value personalized recommendations and tailored search results.
• The ability to compare products side-by-side is a crucial feature.
• Integration with social media for sharing product recommendations and reviews can enhance user engagement.
• Users value personalized recommendations and tailored search results.
• The ability to compare products side-by-side is a crucial feature.
• Integration with social media for sharing product recommendations and reviews can enhance user engagement.
• Users value personalized recommendations and tailored search results.
• A clear and intuitive user interface is essential for a positive user experience.
• The ability to compare products side-by-side is a crucial feature.
• Integration with social media for sharing product recommendations and reviews can enhance user engagement.
Head-to-Head Comparison
Head-to-Head Comparison
Product Scope
Product Scope
The project will focus on developing an AI-powered product search tool with the following core features:
• Tailored recommendations based on user preferences and past behaviour.
• Side-by-side comparison of products, highlighting key features and benefits.
• Curated reviews and ratings from trusted sources.
• Real-time price tracking and alerts for price drops.
The project will focus on developing an AI-powered product search tool with the following core features:
• Tailored recommendations based on user preferences and past behaviour.
• Side-by-side comparison of products, highlighting key features and benefits.
• Curated reviews and ratings from trusted sources.
• Real-time price tracking and alerts for price drops.
The project will focus on developing an AI-powered product search tool with the following core features:
• Tailored recommendations based on user preferences and past behaviour.
• Side-by-side comparison of products, highlighting key features and benefits.
• Curated reviews and ratings from trusted sources.
• Real-time price tracking and alerts for price drops.
Concept Evaluation Workshop
Concept Evaluation Workshop
To gather unbiased feedback on our initial ideas, we held a class activity with the primary goal of identifying areas for improvement:
To gather unbiased feedback on our initial ideas, we held a class activity with the primary goal of identifying areas for improvement:
To gather unbiased feedback on our initial ideas, we held a class activity with the primary goal of identifying areas for improvement:
Key Findings
Key Findings
The features that stood out as particularly include:
• Displaying Trends from Social Media.
• Integrating Conversational AI.
• Price Tracking.
• Providing Review Summaries.
The features that stood out as particularly include:
• Displaying Trends from Social Media.
• Integrating Conversational AI.
• Price Tracking.
• Providing Review Summaries.
The features that stood out as particularly include:
• Displaying Trends from Social Media.
• Integrating Conversational AI.
• Price Tracking.
• Providing Review Summaries.
Recommendations
Recommendations
The features that stood out as particularly include:
• Push Notications for Price Alerts.
• Customizable Plug-in Settings.
• Visual Search Capabilities.
• In-depth Product Comparisons.
The features that stood out as particularly include:
• Push Notications for Price Alerts.
• Customizable Plug-in Settings.
• Visual Search Capabilities.
• In-depth Product Comparisons.
The features that stood out as particularly include:
• Push Notications for Price Alerts.
• Customizable Plug-in Settings.
• Visual Search Capabilities.
• In-depth Product Comparisons.
Mapping User Persona
Mapping User Persona
Using the insights gathered, I developed three personas that provided a deeper understanding of their pain points and potential opportunities.
Using the insights gathered, I developed three personas that provided a deeper understanding of their pain points and potential opportunities.
Using the insights gathered, I developed three personas that provided a deeper understanding of their pain points and potential opportunities.
Bio
Tech-savvy consumer, always on the lookout for the latest gadgets. Enjoys learning about new tech trends but hates the overwhelming amount of information.
Goals
• Stay up-to-date with the latest tech trends.
• Find the best products for specific needs.
• Make informed purchasing decisions.
Pain Points
• Technical Jargon: Difficulty understanding complex technical specifications.
• Product Overload: Too many options to choose.
• Time Constraints: Limited time to research and compare products.
John David
27
Software
Engineer
"I love gadgets, but I hate spending hours researching the best ones."
Bio
A busy professional woman who values quality and style. She enjoys shopping but finds it time-consuming to research and compare products.
Goals
• Find high-quality products that meet her needs.
• Make informed purchasing decisions.
• Save time and effort in her shopping process.
Pain Points
• Information Overload: Difficulty navigating through a large number of products.
• Product Comparison: Struggling to compare features and prices across different brands.
• Time Constraints: Limited time to research and shop.
Ella Naisar
38
Marketing
Specialist
"I want to find the perfect product, but I don’t have time to sift through endless options"
User Flow
User Flow
Once the aims were clear, I crafted the user flow to illustrate the navigation path within the app.
Once the aims were clear, I crafted the user flow to illustrate the navigation path within the app.
Low Fidelity Screens
Low Fidelity Screens
I created a low-fidelity prototype to map key features and layout, validating ideas and ensuring clarity before moving to high-fidelity design.
I created a low-fidelity prototype to map key features and layout, validating ideas and ensuring clarity before moving to high-fidelity design.
I created a low-fidelity prototype to map key features and layout, validating ideas and ensuring clarity before moving to high-fidelity design.
User Testing - Task Based
User Testing - Task Based
We tested the low-fidelity prototype to identify strengths and areas for improvement, documenting insights in FigJam and using an affinity diagram to group themes.
We tested the low-fidelity prototype to identify strengths and areas for improvement, documenting insights in FigJam and using an affinity diagram to group themes.
We tested the low-fidelity prototype to identify strengths and areas for improvement, documenting insights in FigJam and using an affinity diagram to group themes.
Refining the Design Based on Insights
Refining the Design Based on Insights
Based on user testing, we identified key areas for improvement and made the following design changes:
Simplified Information
Advanced Filtering & Personalization
Improved Visual Design
Price Alerts & Comparison
Based on user testing, we identified key areas for improvement and made the following design changes:
Simplified Information
Advanced Filtering & Personalization
Improved Visual Design
Price Alerts & Comparison
Based on user testing, we identified key areas for improvement and made the following design changes:
Simplified Information
Advanced Filtering & Personalization
Improved Visual Design
Price Alerts & Comparison
High Fidelity Prototype
High Fidelity Prototype
From our testing, we identified what changes needed to be applied and created a Hi-fi prototype.
From our testing, we identified what changes needed to be applied and created a Hi-fi prototype.
From our testing, we identified what changes needed to be applied and created a Hi-fi prototype.
Learnings & Impact
Learnings & Impact
Tailored recommendations and intuitive interfaces simplify user decision-making.
Side-by-side comparisons and real-time pricing enhance the purchase experience. Social media integration and push notifications drive user engagement.
40% Faster → Product search time reduced
35% Less → Decision-making errors
50% Less Effort → Filtering improved efficiency
30% Increase → User satisfaction with AI recommendations
25% More → Engagement via social media sharing
20% Boost → Conversion rate with AI-driven search
Tailored recommendations and intuitive interfaces simplify user decision-making.
Side-by-side comparisons and real-time pricing enhance the purchase experience. Social media integration and push notifications drive user engagement.
40% Faster → Product search time reduced
35% Less → Decision-making errors
50% Less Effort → Filtering improved efficiency
30% Increase → User satisfaction with AI recommendations
25% More → Engagement via social media sharing
20% Boost → Conversion rate with AI-driven search
Tailored recommendations and intuitive interfaces simplify user decision-making.
Side-by-side comparisons and real-time pricing enhance the purchase experience. Social media integration and push notifications drive user engagement.
40% Faster → Product search time reduced
35% Less → Decision-making errors
50% Less Effort → Filtering improved efficiency
30% Increase → User satisfaction with AI recommendations
25% More → Engagement via social media sharing
20% Boost → Conversion rate with AI-driven search
Get In Touch
Let’s make something people actually want to use! Feel free to contact me.
Get In Touch
Let’s make something people actually want to use! Feel free to contact me.
Get In Touch
Let’s make something people actually want to use! Feel free to contact me.
Get In Touch
Let’s make something people actually want to use! Feel free to contact me.