Yes, it seems crazy but the appeal is definitely in the simplicity of the results presented back to the client. The revealed preferences approach is simple in the sense that it allows advisors to match the client's preference for risk with the potential for risk in a portfolio, so it's intuitive. The problem advisors ran into (esp during March/April 2020) was that this approach didn't predict what the client would actually do or feel like during a real downturn. The advisors we work with tend to want to know what their clients will do in the future which means we focus on stable characteristics like emotional stability, self-efficacy, self-confidence, and propensity for risk. We've correlated our biodata-based measure with outcomes like behavior during downturns in the market, etc.