[Project] Designing an AI-Assisted SaaS Product: Theme Engine

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Theme Engine: A Machine-Assisted Qualitative Research Tool



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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Theme Engine: A Machine-Assisted Qualitative Research Tool