The Lab
Not a room with cameras.
A data infrastructure.
The Gottman Institute built a physical lab to observe couples for hours. We built a digital infrastructure that observes relationship patterns continuously, at scale, with consent at every layer.
Why this approach is different
Traditional Research Lab
- -Observe 20-50 couples in controlled setting
- -One-time or periodic data collection
- -Self-reported questionnaires + lab observation
- -Months or years between data and publication
- -Small samples limit generalizability
Love Pulse Labs
- Continuous behavioral data from thousands of couples
- Real-time, ongoing data collection in natural environments
- Behavioral signals from actual daily interactions
- Rolling analysis with real-time Pulse Index updates
- Population-scale data enables robust findings
The data pipeline
From behavioral signal to published finding. Every step is auditable, consent-tagged, and designed for GDPR-strict compliance.
Behavioral Collection
Our consumer platform, LVRS FRVR, is the sensor. As couples use daily practices, assessments, and guided conversations, behavioral signals are generated naturally. Every signal carries a consent tag from the moment of creation.
Consent-Tagged Anonymization
Tier 2 research data is stripped of identifying information at the point of collection, before it enters the research pipeline. The research team never sees individual-level data. Consent level determines handling rules.
Signal Classification
Raw behavioral data is classified into five signal categories, each with its own handling rules, consent requirements, and analytical frameworks. Classification is automated and auditable.
Pattern Analysis
Classified signals are analyzed for population-level patterns using statistical methods and machine learning. We look for what couples do differently, not what experts think they should do.
Pulse Index Computation
Five behavioral dimensions are combined into a composite Pulse Index score at the population level. The Index is updated continuously as new data flows in, creating a real-time vital sign for relationship health.
Publication & Access
Findings are published in quarterly reports, weekly insights, and peer-reviewed papers. Professional partners access aggregate data through the Research API. Everything includes full methodology disclosure.
Technology infrastructure
Built from day one for privacy, scale, and research rigor. Not retrofitted. Designed.
Data Infrastructure
- Real-time event streaming
- Consent-tagged data pipeline
- Automated anonymization layer
- Immutable audit logging
Analysis Engine
- Time-series behavioral analysis
- Population-level pattern detection
- Multi-dimensional scoring models
- Cohort segmentation framework
Security & Privacy
- GDPR-strict data handling
- End-to-end encryption
- Zero individual-level external access
- Regular third-party security audits
Research Tools
- Research API (read-only, aggregate)
- Clinical benchmarking dashboard
- Data licensing infrastructure
- Methodology documentation system
Want to see inside?
We offer detailed methodology walkthroughs for potential research partners, enterprise clients, and investors. If you want to understand how the data works, let's talk.
Request a Walkthrough