Publications
Open research.
Full transparency.
Every finding we publish includes methodology, sample size, confidence intervals, and limitations. If we don't have enough data to make a strong claim, we say that.
Quarterly Pulse Index Reports
Published every quarter. Free. Open. Population-level relationship health data with full methodology disclosure.
Q1 2026 Pulse Index Report
Relationship Health Trends: January - March 2026
Our inaugural quarterly report. Baseline Pulse Index scores across our research population, initial drift patterns, seasonal variation in repair velocity, and methodology notes for peer review.
Key Highlights
- Baseline Pulse Index established across 5 dimensions
- Repair velocity inversely correlated with relationship duration
- January shows highest drift scores (post-holiday recalibration)
- Methodology appendix with full statistical approach
Upcoming reports
July 2026
Q2 2026 Pulse Index Report
Seasonal patterns, repair after life transitions, presence ratio benchmarks
October 2026
The Drift Report: Annual Deep Dive
Comprehensive analysis of relationship drift patterns, predictors, and intervention windows
October 2026
Q3 2026 Pulse Index Report
Summer-to-fall relationship transitions, vacation effect on connection
Research papers
Papers currently in preparation. We're actively seeking academic collaborators for peer review and co-authorship.
Behavioral Measurement of Relationship Drift: A New Framework
Love Pulse Labs Research Team
We propose a novel framework for measuring relationship drift using continuous behavioral data rather than periodic self-report instruments. Using data from N couples over 6+ months, we demonstrate that behavioral markers of drift (engagement frequency decay, conversation depth reduction, parallel device usage) predict self-reported relationship dissatisfaction 4-6 weeks before couples themselves report it.
Repair Velocity as a Predictor of Long-Term Relationship Stability
Love Pulse Labs Research Team
How quickly couples return to baseline connection after interpersonal conflict (repair velocity) shows stronger predictive validity for relationship stability than conflict frequency, conflict severity, or conflict style. We present initial findings from continuous behavioral monitoring.
The Consent Architecture: A Three-Tier Model for Ethical Relationship Data Research
Love Pulse Labs Research Team
We present a consent architecture designed specifically for the unique ethical challenges of relationship data research. The three-tier model (product operation, anonymized research, identified participation) provides granular consent control while enabling population-level research. We discuss implementation, technical safeguards, and lessons learned.
Our commitment to open research
We believe relationship research should be accessible to everyone, not locked behind academic paywalls. Every quarterly report is published free, with full methodology and raw aggregate data where ethically possible.
We're also committed to pre-registration of hypotheses, transparent reporting of null results, and clear disclosure of funding sources and potential conflicts of interest.
If you're an academic researcher interested in collaborating on peer-reviewed publications using our data, we'd love to hear from you.