Dan Egan – Designing Better Decisions - [Invest Like the Best, EP.18]

Episode Summary

Executive Summary: Patrick O'Shaughnessy interviews Dan Egan of Betterment about sci-fi, defaults, and behavioral finance. Egan explains how Betterment uses nudges, product design, and automation to help investors avoid emotional mistakes, reduce tax-inefficient behavior, and scale personalized investing.

Main Topics: Sci-fi as behavioral thought experiment (Priority: 8/5): Egan likes sci-fi that changes one rule to reveal hidden assumptions about society and behavior. Behavioral finance in product design (Priority: 10/5): He applies academic insights to build systems that help investors make better decisions by default. Nudges and friction to curb bad trades (Priority: 10/5): Betterment uses interfaces and prompts to slow impulsive allocation changes and tax mistakes. Timing, targeting, and market-stress messaging (Priority: 9/5): Behavioral interventions work best when delivered at the exact moment of decision, not broadly. Automation and the future of work (Priority: 8/5): Egan is excited and worried about automation, especially its effects on purpose, jobs, and inequality. Betterment culture and competitive moat (Priority: 7/5): He says the firm's people, openness, and low politics are a major source of advantage. Personalized investing and future products (Priority: 8/5): He expects cost declines will enable individualized portfolios and security-level customization.

Key Arguments: Good sci-fi works like behavioral analysis: change one variable, then study the social consequences. Defaults shape behavior heavily; Betterment designs them to steer investors away from harmful impulses. Tax Impact Preview cut allocation changes by about 70% by making tax costs salient in the moment. Broad warning emails caused false positives; in-context prompts work better during actual login stress. Automation can reduce bad repetitive work, but society must preserve purpose, pride, and inclusion. Betterment's strongest moat is its people: talented, mission-driven teams with little politics. Lower costs and better tech could eventually support personalized indices and security-by-security portfolios.

Data Points: Betterment customer logins in normal market periods: 50 in 10,000 customers - Egan says this is typical during normal periods Betterment customer logins during Brexit/election stress: 100 per 10,000 customers - Logins roughly double during market/news shocks Tax Impact Preview effect: reduced allocation changes by somewhere around 70% - Displayed estimated tax cost before portfolio changes Customer base at time of discussion: 220,000 customers - Egan says Betterment is currently building for this base Future customer base examples: half a million or 1 million or 2 million - He references scale Betterment may reach Initial filter response rate: finished application rates drop to about 5% - After adding two screening questions to analyst applications Three Body Problem author name: Xixin Liu, C-I-X-I-N-L-I-U - Egan cites it as one of the best recent sci-fi books Egan's age: 36 - He references his age while discussing Star Wars and reading habits Taper tantrum timing: late 2013 - Used as an example of market-stress communications Donor/adoption context: 3 10% drawdowns and one 20% drawdown - Egan says Betterment has experienced multiple drawdowns during his tenure Worst drawdown cited: 19.6% down - He says the S&P 500 topped out near this level in one correction

Pivotal Quotes: "Money is a symptom of poverty." — Dan Egan: He uses the line to frame his concerns about automation, scarcity, and social status "The best way to predict the future is to build it." — Dan Egan: He explains his career philosophy and preference for proactive system design "never compete against somebody who enjoys what they're doing more than you." — Dan Egan: Advice to young people choosing careers and fields of study

Implications: Listeners should expect investing tools to become more personalized and more behaviorally prescriptive, while the hardest unresolved issue is how automation will preserve human purpose.