Two Story utilizes human-centric AI and machine learning to analyze diverse datasets, revealing the impact of individual behaviors on organizational outcomes. This approach addresses high turnover rates and low engagement by providing actionable insights that enhance employee retention and performance.
Funding
Funding not disclosed
Founders
Product
Problem
High employee turnover and disengagement negatively impact organizational performance, yet current programs often fail to diagnose the root causes of these issues, leaving leaders without actionable insights. Existing methods struggle to translate disparate data sources into a unified intelligence that guides effective interventions.
Solution
Two Story employs human-centric AI and machine learning to analyze diverse datasets, revealing the impact of individual behaviors on organizational outcomes. By emulating forensic science techniques, the platform uncovers non-obvious insights into employee behavior, providing a deeper understanding of the factors driving retention and performance. The system detects early signs of disengagement, predicts flight risk, and guides managers to take actions that reduce attrition. Two Story also identifies catalysts needed to transform team dynamics and cultural landscapes, fostering commitment and creating cultures where people raise the bar.
Target Audience
Two Story targets organizations, including doctoral universities, enterprises, and entrepreneurial centers, seeking to improve employee retention, engagement, and overall performance.
Features
- AI-driven analysis of diverse data sources to identify drivers of employee behavior
- Prediction of employee flight risk based on early signs of disengagement
- Manager guidance system providing actionable steps to reduce attrition
- Tools to cultivate team dynamics and identify catalysts for organizational transformation
- Analysis of individual well-being and performance to align roles with strengths and ambitions
- Identification of the Founder Mindset that enables entrepreneurial factors of sustainability