CuesHub
CuesHub is a wearable-AI coaching platform that analyzes physiological data from smartwatches and calendar feeds to give coaches objective insights into clients' stress patterns. It pinpoints the exact moments when stress spikes occur, delivers timely "coaching cues" to prompt behavior practice, and uses n-of-1 experiments to measure real-world intervention impact. The platform was validated in an NIH-funded study of 122 participants over 100 days, showing a 10% reduction in stress intensity.
- Artificial Intelligence
- Data & Analytics
- Software Only
- Digital Health
- Healthcare Technology
- HR Technology
- Wellness & Fitness Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Coaching progress often stalls between sessions because clients struggle to apply new behaviors in real-world moments, and coaches lack objective data on what actually happened. This reliance on delayed, self-reported recollections makes it difficult to pinpoint where interventions succeed or fail, limiting the effectiveness of the coaching engagement.
Solution
CuesHub is a platform that analyzes physiological data from wearables to provide coaches with objective insights into their clients' stress and behavior patterns. By connecting to a client's calendar and wearable device, CuesHub identifies the exact moments of high stress or low engagement, allowing coaches to ask precise questions and deliver targeted guidance. The platform also provides "coaching cues" that prompt clients to practice new behaviors at the optimal moment, and it uses continuous evaluation to measure the real-world impact of coaching interventions. This creates a feedback loop that personalizes the coaching process and makes its outcomes more measurable and evidence-based.
Target Audience
The primary customers are executive coaches, leadership development professionals, and organizational psychology consultants who work with individual clients or corporate teams. The platform is also used by employers and HR departments seeking to improve employee well-being and performance.
Features
- Integrates with wearable devices and smartwatches to collect heart rate, activity, and motion data, using it to calculate a "Workload Heart Rate" metric for stress detection.
- Connects to a client's calendar to provide a contextual view of their week, highlighting stressful meetings and events with a color-coded timeline.
- Generates "Coaching Cues" that are sent to clients at the right moment to prompt them to practice a specific behavior or technique learned in a session.
- Employs an n-of-1 methodology to create personalized experiments and track their outcomes, providing evidence of what works for each individual client.
- AI models validated through NIH-funded research, including a pre-trained model tested on 122 participants across 100 days without fine-tuning, which demonstrated a 10% reduction in stress intensity and 10 fewer stressors per month.
- Offers an Employer Dashboard for organizational-level insights, helping leaders and coaches understand team stress and well-being.
- Includes a privacy policy that ensures user health data is not sold and is only used for service improvement and research with partners.