[Project] Designing an AI-Assisted SaaS Product: Theme Engine
Kat de la Fuente
What is Theme Engine?
Theme Engine is a qualitative research tool on Avalanche's platform that uses human-in-the-loop machine learning to enable researchers to listen to and analyze thousands of full, human responses—going beyond the limited insights found in solely quantitative research.
My role as a Senior Product Designer
Designs flows and screens for internal and external facing tools
Designs and build prototypes for usability testing and investor demos
Partners with Data Scientists to design with Interactive Machine Learning (IML) and NLP
Partners with Product Managers on product discovery studies
Supports software engineering team using Agile Workflow
Facilitates cross-functional meetings for open communication
Creates documentation to support product and engineering
Main Collaborators
Malaika Paquiot | Chief Product Officer
Parul Ravel | Product Manager
Raman Jhajj | Director of Engineering
William Hakim | Software Engineer
Miranda Pattyn | Software Engineer
Paromita Sengupta | Software Engineer
The Goal
Enable researchers to understand people at scale
Conventional research methods mean you either get quantity or depth – not both.
If you surveyed 10,000 people with multiple choice questions, the results would be simple to quantify and analyze. To listen to and understand an audience's perspective in a more nuanced way, you may need to conduct interviews or focus groups.
What if you could listen to and understand an audience of 10,000 in their own words?
Capturing nuanced insights
Deepening understanding
Uncovering meaningful trends
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Posted Sep 27, 2023
UX/market research, usability testing, and designs for an AI-Assisted SaaS Product. Collaborated with qualitative researchers and data scientists on design.
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