m-Path - 2026 Pricing, Features, Reviews & Alternatives

m-Path is a smartphone-based research platform for ambulatory assessment and intensive longitudinal data collection through Experience Sampling Methodology and Ecological Momentary Assessment. The software enables researchers to capture real-time moment-to-moment data from participants in natural environments rather than relying on retrospective or cross-sectional methods. The platform serves academic institutions, research centers, and clinical research organizations in behavioral science, psychology, health research, and related fields requiring repeated measurements in real-world settings. The system has been adopted by more than two hundred fifty universities worldwide and has facilitated more than one hundred fifty thousand app downloads and seven million completed surveys across ten thousand dashboard projects.

The platform provides an extensive feature set accessible through a point-and-click interface in the online researcher dashboard and requires no coding expertise for core functionality. Researchers can design mobile surveys, interventions, and cognitive tasks with advanced survey logic and customizable scheduling options. The system supports multiple data collection approaches including time-based sampling, participant-initiated responses via interactive elements, and context-triggered assessments based on sensing data. Ecological Momentary Intervention and Just-In-Time Adaptive Intervention capabilities enable delivery of personalized mobile interventions at precisely defined moments in daily life. Validated mobile cognitive tests can be administered repeatedly to capture fluctuations in cognitive capacity. Participant management tools allow enrollment via unique invitation codes, real-time monitoring of progress and response rates, automated reminders, and integration of gamification elements to promote compliance. The platform also includes visual feedback tools, daily diary functionality, and an analysis dashboard offering preconfigured case analyses alongside bulk data export in structured comma separated values format for use with external statistical software.

The platform supports passive mobile sensing and wearable device integration, allowing collection of sensor data from smartphones and triggering of surveys or interventions based on detected behavioral patterns and contextual shifts. Sensing-based trigger logic enables study designs in which assessments occur in response to specific environmental conditions, activities, or physiological states rather than predetermined time intervals. The system accommodates extended data collection periods, with researchers collecting continuous sensor data over months or years of longitudinal study.

Advanced users can embed custom code into questionnaires to construct complex conditional survey designs tailored to specific research requirements. The software architecture prioritizes privacy by design, with secure data processing and storage compliant with General Data Protection Regulation and Health Insurance Portability and Accountability Act regulations and without requiring collection of identifiable participant information. As a spin-off from a university research group in quantitative psychology and individual differences, m-Path draws on over ten years of experience in mobile intensive longitudinal data collection and retains a commitment to continuous innovation in the mobile assessment landscape.