Ask Cait AI

AI Market Research Assistant

Client

MRI-Simmons (NIQ / GFK)

Collabration with

Product Designers, Engineers, Data Scientists, and QA testers

Role

Product Designer, Product Management and Owner

Tools used

Figma, Figjam, Jira, Confluence, Notion,
Small cover image for C&Cextra small cover image for C&CCluster Mapping on a computer

About the Project

Ask Cait is an advanced AI-powered market research assistant designed to empower businesses in identifying and engaging their ideal target audiences. Utilizing sophisticated natural language processing capabilities, Ask Cait enables seamless activation within the platform. Businesses can upload their documents to refine their search parameters, ensuring a more precise and efficient identification of target demographics. This streamlined approach accelerates the activation process, making it faster and more effective than traditional methods.

Detailed Description
Ask Cait leverages cutting-edge AI technology to transform market research. By interpreting and analyzing natural language inputs, it provides businesses with actionable insights into their target audiences. The platform supports data uploads, allowing companies to integrate their own information, which enhances the accuracy and relevance of the search results. This personalized approach ensures that businesses can pinpoint their ideal customers with greater precision.

Additionally, Ask Cait facilitates direct engagement with identified syntetic AI personas. Businesses can interact with these personas to gather deeper insights, validate prototypes, and refine their offerings based on real-time feedback. This iterative process of engaging with target audiences ensures that products and services are tailored to meet customer needs effectively.

Business Value
- Enhanced Targeting
: Ask Cait's AI-driven analysis helps businesses identify and understand their target audiences more accurately, leading to more effective marketing strategies.
- Increased Efficiency: The ability to upload proprietary data and refine search parameters reduces the time and effort required to find and activate target audiences.
- Improved ROI: By streamlining the activation process and ensuring precise targeting, businesses can achieve higher conversion rates and better return on investment.
- Competitive Advantage: Utilizing advanced AI technology for market research provides businesses with a competitive edge, enabling them to stay ahead in their industry.
- Prototyping Validation: Engaging with personas allows businesses to validate prototypes early and often, ensuring that products and services are aligned with customer expectations and needs.

As this is an ongoing project, I will update soon.
This is the medium size problem statement. It states "How might we find and show relationships between people and brands"
Mid Size cluster data
Group 1: Shape
Small image of cluster group 1
Group 2: Size
Small image of Group 2 size
Group 3: Color
Small cluster grouping 3
When you apply this to people
When you apply the cluster to people, you are able to get groups based on common characteristics. Group 1 loves hikes, identifies as male, loves camping. Group 2 on the other hand dislikes the outdoors, identifies as females and invests in computers.
This is the medium size problem statement. It states "How might we find and show relationships between people and brands"
This cube’s shape will be defined by how different or similar an item is to another item.
Large image of the cubePearls to represent group 1 and 2Pearl 1 and 2 to represent users in the correspondence mapCorrespondence map and showing the pearls inside themPearls to represent group 1 and 2Pearls Persona Persona for personality groupings
Before Redesign: Cluster
Before Redesign: Correspondence
Before: Flow of Composer
After: Flow of Composer
Before: Flow of Cluster
Test 1: Flow of Cluster
Final: Flow of Cluster
Before: Flow of Correspondence
Test: Flow of Correspondence
Final: Flow of Correspondence
Cluster Mapping on a computer

Lets Connect!

Open to collaborations, mentorships, and new opportunities in AI-forward product design.

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