As the UX Designer, I spearheaded the development of Canary Speech's platform, utilizing patented AI technology to analyze vocal biomarkers and detect mental health changes in real-time. This innovative solution aims to proactively address employee stress and burnout through non-invasive voice analysis, marking a significant advancement in employee wellness technology.
The Challenge
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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Design Solution
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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Discovery and Research
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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Design Process
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.
