Limitations

What this tool cannot tell you, where the evidence is thin, and when you should not use it at all. If you read only one page on this site before taking the test, make it this one.

The instrument itself is not yet validated

Every dimension in this assessment rests on published, peer-reviewed research. The assembled instrument does not. The specific questions, the weights, the type thresholds, and the forecast rules have not yet been through their own reliability and validity studies. That means:

The questions are modeled on validated scales, not taken from them

The attachment items follow the constructs of the Experiences in Close Relationships scale, and the personality items follow the Big Five, but they are original items written for this prototype. Construct-faithful is not the same as validated. A production version would license or adopt the source scales and re-check internal consistency.

The behavior data is self-reported

The scenario reflections ask you to code your own behavior: did I criticize, did I shut down, did I accept my partner's peace offer? This is the weakest link in the design. People under-report their own worst moments, and one partner's honesty can differ from the other's. The mitigations in this version:

In Gottman's original research this coding was done by trained observers watching the couple, which is far more reliable. If your results surprise you in a flattering direction, be suspicious of them.

The research base skews Western, white, and middle-class

The foundational studies (Gottman and Levenson, the PAIR project, the VSA reviews) used predominantly white, middle-class American samples. There is direct evidence that context changes what counts as a harmful pattern: the same demand/withdraw dynamic that predicts trouble for wealthier couples predicts stability for poorer ones. Whether the ten dimensions, the seven types, and the forecast rules hold across cultures is an open research question. If your relationship sits inside strong cultural or religious structures the research did not sample, weigh the results accordingly.

It cannot see everything that matters

Some things this assessment does not measure and cannot detect:

Prediction in this field is weaker than the headlines say

You may have read that researchers can predict divorce with more than 90% accuracy. That figure did not survive our source verification and this tool does not claim it. The honest state of the field: the best instruments reach roughly 80% over five years, satisfaction predicts stability only modestly, some stably happy couples divorce with no visible warning, and 50-90% of couples maintain stable satisfaction over decades. Probabilities, not prophecies. Anyone who sells you certainty about your marriage is overselling.

Known gaps in this version

When not to use this

What would make this trustworthy

The validation roadmap, in order. Until these are done, the tool remains a structured, research-informed conversation, which is still valuable, but is not a measurement.

  1. Content validity review by independent relationship researchers and clinicians.
  2. A pilot with about 100 couples: item analysis, internal consistency, completion behavior.
  3. A structure study with about 500 couples: confirmatory factor analysis of the ten dimensions, and re-deriving the couple types from our own data through latent profile analysis, accepting whatever the data says.
  4. A coding study testing whether language-model analysis of the written scenario responses can match trained human coders, replacing self-coding if it can.
  5. A longitudinal study following assessed couples for three to five years, testing whether the types, trajectories, and forecasts actually predict outcomes.
  6. Moderation studies implementing socioeconomic and cultural calibration against outcome data.

Take the test with open eyes  Read the methodology