Measure when it matters.

m-Path is a flexible and easy-to-use research platform for ambulatory assessment and intensive longitudinal data collection.

10K+ Dashboard projects

150K+ App downloads

7M+ Completed surveys

Our strengths

User friendly

User
friendly

Create effortlessly with our point-and-click interface. No coding required.

Highly tailorable

Combine and customize features to meet your specific needs.

Highly
tailorable

Combine and customize features to meet your specific needs.

Comprehensive

All-inclusive

Access our extensive feature set, from advanced survey logic to mobile or wearable sensors.

Expert guidance

Practical expertise and responsive support at every step.

Built-in valorization

Create, refine, validate and implement with complete control over the process.

Privacy by design

Privacy by design

Secure data processing and storage, compliant with GDPR and HIPAA. No identifiable information required.

Trusted by 250+ universities

Our solutions

01.

Experience Sampling Methodology

Ecological Momentary Assessment

Daily Diary

Tired of retrospective, cross-sectional snapshots?

m-Path captures people’s experiences in daily life, delivering rich, moment-to-moment self-report data.

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02.

Ecological Momentary Intervention

Just-In-Time Adaptive Intervention

Your interventions don't have to stay in an artificial lab room.

m-Path extends exercises into daily life through timely, personalized mobile interventions.

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03.

Mobile Cognitive Tests

Cognitive capacity fluctuates, so your assessments should too.

m-Path delivers validated mobile cognitive tasks that capture change as it happens.

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04.

Passive Mobile Sensing

Wearable Triggering

Want to move beyond time-based survey sampling?

m-Path senses real-world behavior and triggers new assessments or interventions precisely when contexts shift.

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About us

With m-Path, it is our mission to unlock the unparalleled benefits of repeated mobile assessments and interventions across a wide spectrum of research domains. As an original spin-off from KU Leuven’s research group Quantitative Psychology and Individual Differences, we can draw from a decade of firsthand experience in mobile intensive longitudinal data collection.  

With a keen understanding of the evolving mobile assessment landscape, our commitment lies in continuous innovation to provide the most versatile software solution for mobile ambulatory assessment available on the market.

About us

Research testimonials

I've literally collected years of sensor data with m-Path for an experience sampling study of dyads of friends. The platform allowed me to set up everything to run automatically, from notification scheduling to easy participant management. The team was extremely responsive, so I highly recommend m-Path to others.
Haran Sened

Princeton University

I could not be more satisfied with the platform and the service provided by its developers. I used m-Path for my citizen science project and its flexibility, including the ability to tailor the momentary assessment and intervention protocols through code, was a key reason for why I chose m-Path. The team was always there to provide quick and efficient support if any issues were to arise during my study.
Omid Ebrahimi

University of Oxford

At TESC, we use m-Path to collect our EMA data. It’s flexible and easy to use and offers some unique and crucial options like presenting cognitive tests to participants, embedding code into questionnaires that allows for complex (conditional) survey designs, and the possibility of mobile sensing. The customer support is friendly, knowledgeable, fast, and always willing to think along and come up with novel features and tricks to make the app even better suited to our specific needs. We’ve been using m-Path for two years now, and could not be happier.
Joran Jongerling

Tilburg Experience Sampling Center (TESC)

With the help of m-path, the Leuven Mindfulness Centre is able to support people to keep up with their mindfulness practice outside of training. We monitor how frequent our participants practice and ask them to send feedback about each module, which we can then link with their mood data. We update our app weekly with new excercises. The app looks very professional while its setup is very intuitive, efficient, and required minimal technical skills. Overall, a great addition to our project!
Hendrik-Jan De Vuyst

Leuven Mindfulness Centre

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