What Are Getting to Know Questions in Finance
Getting to know questions are structured prompts used to uncover risk tolerance, financial goals, and knowledge gaps before investment decisions. They appear in onboarding flows for robo-advisors, broker-dealer applications, and SEC-registered investment adviser websites. Firms use these questions to comply with know-your-customer rules and suitability standards. For example, broker-dealers must collect client financial data and investment objectives to recommend suitable products, as outlined by the SEC on its investor education pages SEC Investor Education.
In practice, getting to know questions combine quantitative and qualitative fields such as income, net worth, time horizon, and prior investment experience. Quantitative data helps algorithms map a client to a risk score, while qualitative answers capture comfort with volatility and liquidity needs. The SEC’s Regulation Best Interest requires broker-dealers to act in the customer’s best interest, making these questions a compliance cornerstone SEC Regulation Best Interest.
How Companies Use Getting to Know Questions
Robo-Advisors and Automated Onboarding
Robo-advisors such as Betterment and Wealthfront use getting to know questions during account setup to assign a model portfolio. Users answer sliders and multiple-choice items about age, goals, and loss tolerance, which feeds a risk-profiling engine. These platforms then rebalance portfolios automatically and adjust allocations when life events change, as described by Betterment’s public product documentation Betterment Platform Overview.
Traditional brokerages like Fidelity and Charles Schwab integrate getting to know questions into their digital onboarding flows, combining them with KYC identity verification. After answering these questions, clients receive curated ETF and mutual fund recommendations aligned with their stated objectives. The process reduces suitability risk and helps advisors meet fiduciary expectations under Regulation Best Interest SEC Regulation Best Interest.
Why Getting to Know Questions Improve Outcomes
Reducing Behavioral Biases and Mismatches
Getting to know questions surface biases such as overconfidence or loss aversion by asking about past decisions and reactions to market drops. Advisors use these answers to set realistic return expectations and avoid mismatched product recommendations. Studies on investor behavior show that structured discovery reduces churn and improves adherence to long-term plans, as discussed in research summaries published by Forbes Forbes Advisor Behavioral Finance.
Institutional asset managers also apply getting to know questions during institutional onboarding to clarify mandate constraints, ESG preferences, and liquidity requirements. Pension funds and endowments use these inputs to construct diversified portfolios that align with spending policies and liability profiles. Clear discovery questions help both retail and institutional investors avoid costly style drift and concentration risk.