Skip to main content
Capability

Collect Rich Data

Continuous sensor data and participant responses, from surveys to cognitive games, captured in one consistent format.

A Continuous Picture of Daily Life

Phone sensors, health apps, and wearables feed data continuously in the background, building a behavioral picture with no action required from participants.

GPS
Where participants go, how long they stay, and whether their daily routines are changing.
Accelerometer
How much someone is moving throughout the day, and whether they're mostly active or sedentary.
Steps
How many steps a participant takes each day, and how that changes week to week.
Sleep
How long participants sleep and how restful that sleep is, captured from wearables and health apps.
Telephony
How often someone is making and receiving calls, and whether that changes. Never captures content.
Device State
How often the phone is picked up, how long it stays on, and when it's being charged. Reveals daily routines.
Health Platform Integration
Pulls in heart rate, HRV, blood pressure, SpO2, workouts, and more from Apple HealthKit and Google Health Connect. Any connected wearable is automatically supported.
Apple SensorKit
On enrolled research devices, SensorKit adds app usage categories, text message metadata, and location visit types. A deeper behavioral picture available only through Apple's research program.

Full sensor reference → | Sensor configuration guide →

Surveys and Cognitive Games

Participants complete surveys, cognitive games, and other structured activities. Their responses provide the clinical ground truth that makes passive sensor patterns interpretable.

Surveys

Build any survey from 10 question types. PHQ-9, GAD-7, and other validated scales have been built this way and are ready to use, but the same tools work for any instrument you can design.

10 Question Types

Nearly All the TimeMore than HalfSeveral TimesNot at all
Likert Scale
YesNo
Boolean
3012345
Slider
Managing myemotions better.28/800
Free Text
AngrySadHappyLonely
Multi-Select
0Not at all1Several days2More than half3Nearly every day
Single-Select List
1234TerribleFantastic
Rating
demo
Short Answer
07:45AM
Time Picker
ABCQ1Q2Q3
Matrix
Question descriptions
Add context or instructions to any question
Embedded images
Include images directly in questions
Required fields
Mark questions as mandatory
Safety warnings
Show crisis resources on flagged responses
Per-question timing
Captures how long each answer took
Any clinical scale
Build any instrument with the same tools

Survey documentation →

Cognitive Games

Configurable cognitive assessments across executive functioning, memory, attention, and decision-making. Every tap is timestamped, so you can analyze not just accuracy but response patterns across each task.

Jewels A icon
Jewels A
Executive functioning
Jewels B icon
Jewels B
Set shifting
Spatial Span icon
Spatial Span
Visuospatial memory
Trails B icon
Trails B
Executive functioning
Pop the Bubbles icon
Pop the Bubbles
Attention & inhibition
Cats and Dogs icon
Cats and Dogs
Response control
Balloon Risk icon
Balloon Risk
Risk-taking behavior
Symbol Digit icon
Symbol Digit
Motor speed & attention
Emotion Recognition icon
Emotion Recognition
Social cognition
Spin the Wheel icon
Spin the Wheel
Decision-making
Maze Game icon
Maze Game
Visual cognition
DCog icon
DCog
Working memory
Memory Game icon
Memory Game
Spatial & temporal memory
Digit Span icon
Digit Span
Working memory
Fragmented Letters icon
Fragmented Letters
Language / Visual processing
Funny Memory icon
Funny Memory
Associative memory

Sensors + Surveys: Better Together

mindLAMP captures passive sensor data and active participant responses together, in the same format, from the same device. That combination simplifies digital phenotyping workflows and produces richer data than either source alone.

Screentime and hometime sensor data overlaid with daily depression, anxiety, and difficulty functioning survey scores over time

In Practice

Real projects using mindLAMP data collection at scale, from multi-site consortia to single-clinic longitudinal programs.

AMP SCZ
Deployed the same sensor and survey battery across 43 sites in 13 countries, collecting GPS, accelerometer, and daily self-reports in one standardized protocol.
View project →
Schizophrenia Relapse Prediction
Collected continuous GPS, accelerometer, and screen state data from 132 participants to detect behavioral shifts preceding clinical relapse.
View project →
College Student Mental Health
Paired daily mood surveys with passive GPS data from 67 students, combining both data sources to predict changes in depression symptoms.
View project →

Dive Deeper

Explore the technical documentation for sensors, activities, and data formats.

Sensor Reference
Per-sensor documentation with data fields, platform support, and Cortex features.
View reference →
Activity & Survey Reference
Per-activity documentation for surveys, cognitive games, tips, and other activity types.
View reference →
Data Formats
ActivityEvent and SensorEvent schemas, data retrieval, and Cortex processing pipeline.
View formats →