Best eNPS Survey Software for Teams

Care Predictor helps behavioral health organizations measure employee engagement with anonymous eNPS surveys, pulse check-ins, sentiment analysis, and actionable workforce insights. Built for teams that want to strengthen staff satisfaction, identify retention risks, and support better care, the cloud-based platform connects feedback with the broader employee lifecycle—from onboarding through ongoing development—without replacing the human connection at work.

Behavioral health managers reviewing anonymous employee engagement survey insights

Our eNPS Survey Software Services

Measure engagement, understand employee sentiment, and turn workforce feedback into practical retention and development insights.

Anonymous eNPS Surveys

Collect anonymous employee feedback and track eNPS to understand how staff experience the organization, leadership, and workplace culture over time.

Pulse Check-Ins

Use employee check-ins throughout onboarding and employment to identify changing sentiment, support staff engagement, and surface concerns earlier.

AI Sentiment Analysis

Analyze open-ended employee responses with AI to identify sentiment trends, recurring themes, and actionable opportunities for improving engagement.

Actionable Workforce Insights

Turn Employee Feedback Into Action

Care Predictor combines anonymous engagement surveys, eNPS tracking, pulse check-ins, and AI-assisted response analysis in one cloud-based platform. Managers can identify sentiment trends, surface at-risk staff before departure, and receive targeted recommendations that support retention, workplace culture, and team stability. The platform also connects feedback with onboarding, employee care profiles, and development tools for a fuller view of the employee lifecycle.

Manager reviewing employee sentiment and eNPS analytics on a software dashboard
The Care Predictor Difference

Why Choose Care Predictor?

A workforce intelligence platform designed around scientific rigor, practical insights, and human connection.

Scientific Rigor

Apply behavioral science and evidence-based decision-making to employee engagement and workforce development.

Actionable Insights

Convert anonymous feedback and sentiment trends into targeted recommendations managers can use.

Lifecycle Support

Support staff before hiring, through onboarding, and across the lifetime of employment.

Secure Platform

Use a platform aligned with ISO 27001:2022, SOC 2, PCI-DSS 4.0, and NIST Cybersecurity Framework standards.

Meet The Care Predictor Team

Behavioral science, analytics, product, and customer success experts working together.

Portrait of Michael Castanon, Chief Executive Officer at Care Predictor

Michael Castanon

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.

Portrait of Michael Krause, Chief Product Officer at Care Predictor

Michael Krause

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.

Portrait of Todd Schlosser, Chief Marketing Officer at Care Predictor

Todd Schlosser

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.

Portrait of Dr. Loren Martin, PhD, Chief Scientific Officer at Care Predictor

Dr. Loren Martin, PhD

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.

Portrait of Manoj Shivji, Co-Founder of Care Predictor

Manoj Shivji

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.

Portrait of Tony Serge, Account Executive at Care Predictor

Tony Serge

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.

Portrait of Abid Bakhtiyar, Systems Engineer at Care Predictor

Abid Bakhtiyar

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.

Portrait of Aristotelis Coakinas, Data Engineer at Care Predictor

Aristotelis Coakinas

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.

Portrait of Cassandra Harriman, Associate AI Engineer at Care Predictor

Cassandra Harriman

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.

Portrait of Ashley Bodenbender, Customer Success Manager at Care Predictor

Ashley Bodenbender

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.

Frequently Asked Questions

What is eNPS software?

eNPS software helps organizations measure employee loyalty and engagement through Employee Net Promoter Score surveys. It typically collects employee responses, calculates an eNPS result, and helps leaders review feedback and trends. Care Predictor adds anonymous engagement surveys, pulse check-ins, AI analysis of open-ended responses, sentiment trends, and targeted recommendations for behavioral health workforce decisions.

What is the purpose of eNPS?

What is considered a good eNPS score?

What is the difference between NPS and eNPS?

Can eNPS surveys be anonymous?

What does Care Predictor’s eNPS platform include?

How much does Care Predictor’s eNPS software cost?

Who is eNPS survey software designed for?

Still Have Questions About eNPS Software?

Talk with Care Predictor about your employee engagement goals and platform needs.

Certified & Trusted

Awards and Recognition

ISO 27001:2022 certification mark

ISO 27001:2022

Information security certification listed by Care Predictor.

SOC 2 compliance credential mark

SOC 2

Security and compliance credential listed by Care Predictor.

Find The Right Employee Feedback Solution

Share your workforce engagement goals and learn how Care Predictor can support your organization.

Contact Us Today

For immediate assistance, feel free to give us a direct call at 949-351-0905.