Talka.ai: Insights AI Platform | Lui Spadarotto | Lead Product Designer

Designing behavior-aware interfaces for AI-powered customer insights. Led the product’s UX from 0 to 1 — transforming raw interaction data into actionable insights and helping Talka.ai earn a spot in CB Insights’ Top 100 AI Companies (2023).

Talka.ai is an AI platform that decodes customer behavior by analyzing video and voice interactions. The goal: help product and marketing managers uncover pain points, reduce churn, and make smarter decisions — using data that usually stays hidden.

As the lead product designer, I shaped the UX direction from scratch, translating technical AI outputs into clear, human-centered interfaces that made complex behavioral data accessible and useful.

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Highlights

Challenge

How do you make invisible signals (tone, pace, non-verbal cues) actionable in a fast-moving B2B product?

Strategy

Pair behavioral research with rapid iteration to define a UX that balances complexity with clarity.

Execution

Defined the experience architecture for the first product version
Collaborated closely with AI engineers to translate insights into meaningful UI patterns
Embedded lean research into weekly design cycles to guide and validate decisions

Impact

2023

CB Insights AI 100 recognition, validating the platform's strategic relevance in the global AI startup landscape

100+

Non-verbal cues translated into actionable interface patterns, enabling decision-makers to decode customer behavior with speed and clarity

1-week

Iteration cycles aligned AI research, UX logic, and user validation, accelerating cross-functional delivery and insight-driven product decisions

1

Integration with HubSpot, enabling automatic export of Talka’s conversation insights, like win probability and behavioral flags, into sales workflows

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What I Learned

Designing for AI at this level taught me how to translate subtle behavioral signals into actionable UI design. I built confidence in creating interfaces that foster trust with unfamiliar technology, and reinforced my ability to collaborate deeply with data and engineering teams to ground product decisions in research.

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