Engagement Surveys
Collect anonymous employee feedback and monitor engagement across your organization. Care Predictor helps leaders understand staff sentiment, workplace culture, and the factors influencing satisfaction and retention.
Understand why employees stay, disengage, or leave with Care Predictor’s employee feedback and engagement survey platform. Anonymous surveys, eNPS tracking, onboarding check-ins, sentiment analysis, and AI-powered recommendations help behavioral health organizations identify retention risks and strengthen workplace culture. Built for teams seeking clearer workforce intelligence across the employee lifecycle, from hiring through ongoing development.

Measure workforce sentiment, identify retention risks, and turn employee feedback into practical engagement and development actions.
Collect anonymous employee feedback and monitor engagement across your organization. Care Predictor helps leaders understand staff sentiment, workplace culture, and the factors influencing satisfaction and retention.
Track employee Net Promoter Score to understand workforce advocacy and identify changes in staff experience. Leaders can use recurring insights to guide focused engagement and retention efforts.
Gather structured feedback through new-hire check-ins at 30, 60, and 90 days post-hire. These touchpoints help organizations identify early concerns and support stronger employee integration.
Care Predictor combines anonymous employee surveys, eNPS tracking, pulse check-ins, and AI analysis of open-ended responses to reveal sentiment trends and potential attrition risks. Managers receive actionable insights and targeted recommendations to strengthen culture, staff satisfaction, and team stability. The platform is designed for behavioral health organizations that need a clearer view of employee experience across hiring, onboarding, and ongoing development.

Use behavioral science and data analytics to make employee experience decisions more informed and actionable.
Apply evidence-based behavioral science and data analytics to employee engagement and workforce decisions.
Turn survey responses, sentiment trends, and eNPS data into practical recommendations for leaders and managers.
Support employees before hiring, throughout onboarding, and across the lifetime of employment.
Use a cloud-based platform supported by ISO 27001:2022, SOC 2, PCI-DSS 4.0, and NIST Cybersecurity Framework credentials.
Behavioral scientists, product leaders, and engineers advancing workforce intelligence.

Chief Executive Officer
Michael Castanon serves as Chief Executive Officer of Care Predictor, where he leads the company's mission to transform behavioral healthcare hiring through the fusion of behavioral science and data analytics. With a strategic vision for workforce intelligence, Michael guides the organization in developing solutions that help behavioral health providers identify, engage, and retain staff who deliver exceptional patient care. His leadership emphasizes scientific rigor, exponential impact, and the power of human connection in everything the company builds. Michael is deeply committed to Care Predictor's founding belief that quality care depends on quality people, and he works closely with partner organizations across the country to ensure the platform delivers measurable improvements in staff stability, patient outcomes, and organizational performance in the behavioral health sector.

Chief Product Officer
Michael Krause is the Chief Product Officer at Care Predictor, responsible for designing and building the data-driven tools that power the company's workforce intelligence platform. He leads product strategy for candidate assessment, interviewing, and predictive hiring solutions that help behavioral health organizations make objective, evidence-based talent decisions. Michael brings a strong focus on usability and scientific precision, ensuring that every feature strengthens rather than replaces the human connection central to great care. His work spans the full employee lifecycle, from pre-hire screening through onboarding and ongoing engagement. Michael is dedicated to creating technology that is both scientifically rigorous and practical for real-world behavioral health teams, helping organizations improve retention, satisfaction, and treatment outcomes through better staffing decisions.

Chief Marketing Officer
Todd Schlosser serves as Chief Marketing Officer at Care Predictor, where he shapes the company's voice and positioning as a leader in behavioral-health workforce intelligence. Todd works to communicate the value of combining behavioral science with modern data analytics, helping organizations understand how better hiring and engagement practices translate into better patient outcomes. He plays a key role in building awareness among behavioral health organizations nationwide, highlighting Care Predictor's unique approach to supporting staff through every stage of employment. Todd is passionate about connecting Care Predictor's mission to the real challenges faced by behavioral health leaders, crafting messaging grounded in scientific rigor and genuine care for the people delivering treatment. His efforts help organizations see the measurable impact of smarter workforce decisions.

Chief Scientific Officer
Dr. Loren Martin, PhD, serves as Chief Scientific Officer at Care Predictor, bringing deep expertise in behavioral science to the company's workforce intelligence platform. Dr. Martin leads the scientific foundation behind Care Predictor's assessment and prediction tools, ensuring every solution is grounded in rigorous, evidence-based research. Their work focuses on translating complex behavioral science principles into practical, scalable tools that help behavioral health organizations identify candidates and staff best suited to deliver compassionate, effective care. Dr. Martin is committed to maintaining the highest standards of scientific integrity across the platform, continuously refining models to improve predictive accuracy for patient retention, treatment completion, and team stability. Their leadership ensures Care Predictor remains at the forefront of evidence-based workforce solutions in behavioral health.

Co-Founder
Manoj Shivji is a Co-Founder of Care Predictor, helping establish the company's foundational vision of using behavioral science and data analytics to transform how behavioral health organizations hire and support their staff. As a founding member, Manoj has played a key role in shaping the platform's direction, ensuring it addresses the real-world challenges faced by behavioral health providers in staffing and retention. His contributions reflect Care Predictor's core belief that the quality of care is directly tied to the quality of the people delivering it. Manoj remains dedicated to the company's long-term growth and impact, supporting the development of tools that provide clarity for organizations before hiring, during onboarding, and throughout the employment lifecycle, ultimately helping improve outcomes for patients and staff alike.

Account Executive
Tony Serge serves as an Account Executive at Care Predictor, working directly with behavioral health organizations to understand their hiring and staffing challenges and connect them with solutions that drive better outcomes. Tony builds strong relationships with clients, guiding them through how Care Predictor's behavioral science and data analytics tools can improve staff retention, engagement, and overall care quality. He is committed to understanding each organization's unique needs and ensuring they get maximum value from the platform. Tony's approach combines consultative selling with a genuine passion for supporting behavioral health providers, helping them make more confident, objective talent decisions. His dedication to client success reflects Care Predictor's broader mission of strengthening the human connection at the heart of quality care.

Systems Engineer
Abid Bakhtiyar is a Systems Engineer at Care Predictor, responsible for maintaining the robust and secure technical infrastructure that powers the company's workforce intelligence platform. He ensures the systems supporting candidate assessment, prediction, and engagement tools run reliably and securely, upholding standards such as ISO 27001:2022, SOC 2, and PCI-DSS 4.0. Abid's technical expertise supports Care Predictor's commitment to scientific rigor and data integrity, enabling behavioral health organizations to trust the platform with sensitive hiring and staff data. He works behind the scenes to ensure seamless performance and strong security practices across the company's technology stack. Abid's dedication to engineering excellence helps Care Predictor deliver a dependable, scalable platform that organizations can rely on for critical workforce decisions.

Data Engineer
Aristotelis Coakinas serves as a Data Engineer at Care Predictor, building and maintaining the data pipelines that power the company's behavioral science and analytics-driven hiring tools. He plays a critical role in ensuring data is accurately collected, processed, and made available to support predictive models used by behavioral health organizations. Aristotelis's work directly supports Care Predictor's mission of combining scientific depth with analytical precision, enabling more reliable and scalable workforce selection. His attention to detail and commitment to data quality help ensure that the insights delivered to clients are both accurate and actionable. Aristotelis is passionate about using data engineering to drive meaningful outcomes in behavioral healthcare staffing and patient care.

Associate AI Engineer
Cassandra Harriman is an Associate AI Engineer at Care Predictor, contributing to the development of intelligent, data-driven tools that support hiring and staff engagement in behavioral health organizations. She works on building and refining machine learning models that help predict candidate fit and support evidence-based talent decisions. Cassandra's work reflects Care Predictor's core value of scientific rigor, ensuring AI-driven insights are both accurate and meaningful for real-world hiring decisions. She collaborates closely with the product and data teams to continuously improve the platform's predictive capabilities. Cassandra is dedicated to using artificial intelligence responsibly and effectively, helping behavioral health organizations make smarter staffing decisions that ultimately improve patient care and outcomes.

Customer Success Manager
Ashley Bodenbender serves as Customer Success Manager at Care Predictor, ensuring behavioral health organizations get the most value from the company's hiring and engagement platform. She works closely with clients from onboarding through ongoing use, helping them integrate Care Predictor's tools into their hiring and staff development processes. Ashley is dedicated to building strong, lasting relationships with customers, providing guidance and support that helps organizations improve patient retention, staff satisfaction, and team stability. Her customer-first approach reflects Care Predictor's commitment to the power of human connection, ensuring clients feel supported every step of the way. Ashley takes pride in helping behavioral health providers achieve better outcomes through more effective, data-informed workforce decisions.
Measure employee turnover by comparing the number of employees who leave during a defined period with the average employee population during that period. Pair this calculation with anonymous engagement surveys, eNPS tracking, onboarding check-ins, and open-ended feedback. These qualitative signals help explain why employees leave, where sentiment is changing, and which workforce groups may need focused support.
Talk with Care Predictor about turning workforce feedback into retention insight.
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Connect with Care Predictor to discuss survey capabilities, platform plans, and workforce intelligence for your organization.
For immediate assistance, feel free to give us a direct call at 949-351-0905.
For immediate assistance, feel free to give us a direct call at 949-351-0905.