Success stories
WEVO – UX RESEARCH PLATFORM
What if… AI-powered user research could scale instantly, without increasing costs or complexity?
SERVICE
UX Research Support Associates
UX Research Analyst
Customer Success Manager
Executive Assistant
Bookkeeper / Finance Operations
INDUSTRY
Consultancy
TECHNOLOGY
Qualtrics
The client
Wevo is an AI-powered UX research
platform that delivers user insights in
minutes. With Wevo Pulse, it uses AIsimulated
personas trained on over one
million studies to help teams test ideas,
predict behavior, and optimize digital
experiences at scale.
Benefits
- Faster time-to-insight: AI-generated UX research delivered in 5–10 minutes, enabling rapid testing and decision-making
- Higher engagement outcomes: Clients using Wevo Pulse achieved up to 50% lift in ad engagement and click-through rates
- Improved AI accuracy: Reduced manual intervention in expectation clustering, enabling reliable express analysis at scale
- Scalable research operations: Increased study volume without expanding internal complexity or U.S.-based headcount
- Cost efficiency: Nearshoring enabled lower operational costs while preserving margins and funding growth-critical roles
- Business growth impact: AI-driven insights support predictive accuracy of 85%+ versus human responses, strengthening customer confidence and adoption
Challenge
Scale AI-powered user research without increasing costs or losing quality
Reduce manual intervention and improve AI model accuracy
Launch lower-cost, express studies to expand market reach
Support rapid growth with scalable operational and customer functions
Solutions
- Scaled Wevo Pulse through targeted staff augmentation with UX research, AI, and customer success talent
- Improved AI accuracy via structured data cleaning, validation, and research workflows
- Enabled express, lower-cost AI studies through optimized processes and expanded research capacity
- Leveraged nearshoring to access global talent and reduce operational costs
- Added executive and finance support to free leadership focus for strategic growth
Benefits
Improving product descriptions on the online store to enhance the customer shopping experience and increase sales.
Substantial reduce the time needed to input
product attributes by leveraging cutting-edge
technologies.
Challenge
The process of completing product attributes was cumbersome and time-consuming. It also resulted in incomplete or error filled product descriptions, impacting the user’s shopping experience.
Solution
Using computer vision, we generated product descriptions which contain information about attributes such as color, material, dimensions, size, etc. This information is published on the ecommerce along with the product images.
The project is based on the use of AI generative models, specifically Gemini Pro Vision, to achieve three main objectives:
The project is based on the use of AI generative models, specifically Gemini Pro Vision, to achieve three main objectives:
- Create new product descriptions by extracting attributes from product images.
- Enrich these product descriptions using previous information from other products
- Perform a retroactive process to update the product descriptions when new attributes are found when compared to embeddings generated by Gecko (Google model), i.e., add this information to existing similar products.
Google Cloud Platform (GCP) was chosen for its robust cloud computing capabilities and built-in machine learning services, providing a reliable infrastructure that is highly scalable for heavy computational tasks.
Python was selected as a high-level, interpreted language with an abundance of AI-related libraries, allowing for easy readability, quick prototyping, and sophisticated AI and machine learning projects.
Docker was utilized to automate deployment and scaling of applications, ensuring the consistent operation of the AI model across various environments.
The Gemini Pro Vision Model and Text Embedding Gecko Model were used to offer specialized functionalities in computer vision and natural language processing respectively, providing capabilities such as sophisticated analysis of visual content and representing text data as normalized numerical vectors.