The conversational analytics platform, powered by AI/ML
The conversational analytics platform, powered by AI/ML
Designed an AI-powered conversational analytics experience that helps engineers explore complex manufacturing data through natural language, transforming how insights are discovered, validated, and acted upon.
Google | 2025 – Current
Designed an AI-powered conversational analytics experience that helps engineers explore complex manufacturing data through natural language, transforming how insights are discovered, validated, and acted upon.
Google | 2025 – Current
Conversational Analytics, enable engineers to ask questions in natural language and receive contextual, data-backed insights without navigating multiple tools or dashboards.
Agentic Insight Exploration, guide users through multi-step analytical workflows by orchestrating agent-to-agent collaboration, where specialized AI agents surface follow-up questions, suggest next actions, and identify deeper areas of investigation.
Industry-Leading
Conversational Analytics
Ask questions. Get insights. No dashboards required.
Conversational Analytics lets users explore complex data through natural language instead of filters, charts, or queries. By turning analysis into a dialogue, it delivers contextual, actionable insights faster and with less cognitive effort—matching how people actually think and make decisions.
As AI capabilities advance, conversation is becoming the default interface for analytics and enterprise workflows.
My Role
Lead Product Designer - 0→1 AI Product Strategy and End-to-End Design (Visual/Interaction), translating raw, early-stage concepts into fully functional AI solutions.
Team: 10+ Members
Technical Program Managers, Engineers
Timeline & Status
2025 – Current
Design Challenges
- How might conversational AI support complex analytical reasoning without oversimplifying expert workflows?
- How can agentic systems guide users while preserving user autonomy, trust, and transparency?
- How can conversational UX integrate into existing enterprise tools without disrupting established workflows?
Overview
Modern manufacturing analytics involve navigating highly fragmented data across multiple systems, making insight discovery slow and cognitively demanding.
As the Product Designer on this initiative, I focused on designing an agentic, conversational UX layer that augments existing analytics workflows—allowing engineers to explore data through dialogue rather than manual configuration.
The design emphasizes human–AI collaboration, where AI assists with synthesis, pattern recognition, and next-step guidance, while users retain control over interpretation and decision-making.
This work builds on earlier AI summarization foundations and represents a shift from static insights to interactive, exploratory analytics, setting the direction for future AI-powered manufacturing experiences.
View the full case study here.
Due to confidentiality, this case study is shared by request.
Happy to walk through the details or provide access!
Due to confidentiality, this case study is shared by request.
Happy to walk through the details or provide access!
Works
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2025 Bryan Oh • Product Designer 😉
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