Canary Speech, AI Speech Recognition

Problem: Post-pandemic, employee stress and burnout have risen to unprecedented levels, negatively impacting productivity and well-being.

The goal was to leverage Canary Speech's cutting-edge AI speech-recognition technology to develop a proactive, non-invasive solution for employee wellness.

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To address these challenges, I led the design of a comprehensive wellness platform that analyzed vocal biomarkers to assess real-time mood states and mental health deterioration. The interface was user-centric, ensuring ease of use and trust, while providing employees with actionable wellness insights.

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Key Features:

Voice Check-In: A flexible, self-prompted wellness assessment tool allowing employees to monitor their well-being through voice input.

Smart Actionable Dashboard: A simplified dashboard that transformed complex voice data into digestible insights, enabling employees to take action on their wellness.

Journal Feature: An alternative to voice input, this feature allowed employees to track mood manually, addressing privacy concerns and increasing user control over data input.

Privacy-First Design: Ensured transparent communication about data usage and compliance with workplace privacy regulations to build user trust.

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Conducted over 20 interviews with employees, HR professionals, and mental health patients across various industries to understand pain points and expectations around mental health and wellness.

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Define: How might we create a non-invasive, trustworthy tool that provides actionable insights?

Design Goals: Create a user-centric interface that provides personalized feedback, connects voice analysis with overall wellness, and ensures privacy compliance.

Key Results:

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Success Metrics:

Secured $13 million in Series A funding, validating the market potential of the solution.

Formed strategic partnerships with Microsoft and Sorenson to integrate the technology into broader healthcare solutions.