Unlocking the Power of Product Discovery for online shoppers with AI
Exploring how AI can empower users, provide discovery based products results with the goal to reduce the reliance on faceted filters
Lead product designer
Experiment, MVP
SEO, Growth, Engineering
3 Weeks

Unlocking the Power of Product Discovery for online shoppers with AI
Exploring how AI can empower users, provide discovery based products results with the goal to reduce the reliance on faceted filters
Lead product designer
Experiment, MVP
SEO, Growth, Engineering
3 Weeks

Unlocking the Power of Product Discovery for online shoppers with AI
Exploring how AI can empower users, provide discovery based products results with the goal to reduce the reliance on faceted filters
Lead product designer
Experiment, MVP
SEO, Growth, Engineering
3 Weeks

Intro
Background
I led an innovative design hackathon, focusing on the integration of AI into our product design process within the design team. We delved into understanding our customers' brief interactions with our platform, aligning our efforts with the company's strategic objective to develop a mobile application. During this initiative, I explored potential AI applications in eCommerce & search to enhance user experience and streamline product discovery.
Intro
Background
I led an innovative design hackathon, focusing on the integration of AI into our product design process within the design team. We delved into understanding our customers' brief interactions with our platform, aligning our efforts with the company's strategic objective to develop a mobile application. During this initiative, I explored potential AI applications in eCommerce & search to enhance user experience and streamline product discovery.
Intro
Background
I led an innovative design hackathon, focusing on the integration of AI into our product design process within the design team. We delved into understanding our customers' brief interactions with our platform, aligning our efforts with the company's strategic objective to develop a mobile application. During this initiative, I explored potential AI applications in eCommerce & search to enhance user experience and streamline product discovery.
Intro
Goals
Intro
Goals
Intro
Goals
Enhance usability
Discover new ways to redesign the filter component for mobile, that is more contextual to user search and focus more on relevant product filters.
Personalized experience
Encourage users to create accounts, through direct messages , dedicate space to discover relevant products,
Encourage exploration
Encourage users to discover trends in fashion seasons, following the company's major drive to focus on seasons.
Enhance usability
Discover new ways to redesign the filter component for mobile, that is more contextual to user search and focus more on relevant product filters.
Personalized experience
Encourage users to create accounts, through direct messages , dedicate space to discover relevant products,
Encourage exploration
Encourage users to discover trends in fashion seasons, following the company's major drive to focus on seasons.
Enhance usability
Discover new ways to redesign the filter component for mobile, that is more contextual to user search and focus more on relevant product filters.
Personalized experience
Encourage users to create accounts, through direct messages , dedicate space to discover relevant products,
Encourage exploration
Encourage users to discover trends in fashion seasons, following the company's major drive to focus on seasons.
Research Insights
Our Target
Females (25-56)
72.5%
Users Interested in second hand.
Methodologies
Design Survey (40 participants)
75%
Prefer to see regular items per default not mixed.
52.5%
Should be a separate Category.
Problem Statement
Ladenzeile has identified usability challenges in our current filter system, which is crucial for efficient product exploration and discovery, and as a product comparison platform, These challenges have become more apparent, By addressing these issues, My aim was to redefine our filter functionality, making it more intuitive and user-friendly to improve satisfaction.
Problem Statement
Ladenzeile has identified usability challenges in our current filter system, which is crucial for efficient product exploration and discovery, and as a product comparison platform, These challenges have become more apparent, By addressing these issues, My aim was to redefine our filter functionality, making it more intuitive and user-friendly to improve satisfaction.
Problem Statement
Ladenzeile has identified usability challenges in our current filter system, which is crucial for efficient product exploration and discovery, and as a product comparison platform, These challenges have become more apparent, By addressing these issues, My aim was to redefine our filter functionality, making it more intuitive and user-friendly to improve satisfaction.
Enter Design Sprint
I led the design sprint creation for Second-hand Landing page, planning and aligning with stakeholders, I mentioned here only a few major aspects of the sprint
Uncovered Insights
Uncovered Insights
Uncovered Insights
User Personas
User Personas
User Personas
User Personas
User Personas
User Personas
User Personas
User Personas
User Personas
Seasonal styles Display
Direct messages about authenticity
Predefined filters for brand, sizes and prices
Early bird items
Multiple entry points
Seasonal styles Display
Direct messages about authenticity
Predefined filters for brand, sizes and prices
Early bird items
Multiple entry points
Seasonal styles Display
Direct messages about authenticity
Predefined filters for brand, sizes and prices
Early bird items
Multiple entry points
Discovery
Hypothesis
To Improve user journey by providing a shorter path to narrow down their search results and provide a personalized user experience towards the goal of user retention.
Discovery
Hypothesis
To Improve user journey by providing a shorter path to narrow down their search results and provide a personalized user experience towards the goal of user retention.
Discovery
Hypothesis
To Improve user journey by providing a shorter path to narrow down their search results and provide a personalized user experience towards the goal of user retention.
User preferences to search by manual input would be shifted to a more efficient way using Voice or natural language while initiating search as they would do in a physical store.
With a focus on exploration and discovery filters are collapsed by default, however dynamic contextual filters based on their initial input would be revealed on interaction.
User preferences to search by manual input would be shifted to a more efficient way using Voice or natural language while initiating search as they would do in a physical store.
With a focus on exploration and discovery filters are collapsed by default, however dynamic contextual filters based on their initial input would be revealed on interaction.
User preferences to search by manual input would be shifted to a more efficient way using Voice or natural language while initiating search as they would do in a physical store.
With a focus on exploration and discovery filters are collapsed by default, however dynamic contextual filters based on their initial input would be revealed on interaction.
Discovery
The design process went through multiple iterations and a feedback cycle and the following design represents the outcome of those activities.
Discovery
The design process went through multiple iterations and a feedback cycle and the following design represents the outcome of those activities.
Discovery
The design process went through multiple iterations and a feedback cycle and the following design represents the outcome of those activities.
Before
After
Discovery
Discovery
Discovery
After aligning with Engineers and user feedback in an online moderated user testing setup
Discovery
Discovery
Discovery
User experience
Internal surveys feedback that it felt natural, while some have concerns over voice and image input, the redesigned filter components were perceived as user-friendly and accessible and were set to be scheduled for usability testing and design surveys.
Search results
After providing the AI with our database set in json format and providing a manual input “ I’m looking for summer clothes or i’m looking for a night party dress for this weekend “ the AI managed to identify our database with its current structure and provide results.
User experience
Internal surveys feedback that it felt natural, while some have concerns over voice and image input, the redesigned filter components were perceived as user-friendly and accessible and were set to be scheduled for usability testing and design surveys.
Search results
After providing the AI with our database set in json format and providing a manual input “ I’m looking for summer clothes or i’m looking for a night party dress for this weekend “ the AI managed to identify our database with its current structure and provide results.
User experience
Internal surveys feedback that it felt natural, while some have concerns over voice and image input, the redesigned filter components were perceived as user-friendly and accessible and were set to be scheduled for usability testing and design surveys.
Search results
After providing the AI with our database set in json format and providing a manual input “ I’m looking for summer clothes or i’m looking for a night party dress for this weekend “ the AI managed to identify our database with its current structure and provide results.