Two Features to Lift Install-to-First-Trade Conversion in a Brokerage App

You are the product manager of a retail stock-trading app, in the mold of Fidelity or Zerodha. Your goal is to raise the number of people who install the app and go on to complete their first trade. Which two new features would you launch, and why those two? ```hint Find the leak first Several distinct steps sit between installing the app and a first executed order. Work out where the largest, most fixable drop happens and why, then aim each feature at a specific drop. ``` ### Clarifying Questions - Which market is this: India, where opening an account means identity checks and a demat account, or the United States, where a brokerage account is linked to a bank? The onboarding steps differ. - Do we know where installers drop off today: during sign-up and verification, before funding, or after the account is funded? - Does buying an ETF or a mutual fund count as a first trade, or only an equity order? Do derivatives count? - Are there limits I should respect, such as not giving investment advice or not nudging beginners toward risky products? ### What a Strong Answer Covers - A funnel from install to first executed trade, with the reasons people stall at each step - A chosen user segment, such as first-time investors versus experienced traders switching brokers, and why - Exactly two features, each aimed at a specific drop-off, and why they beat the alternatives - Metrics such as install-to-first-trade conversion and time to first trade, with guardrails on trade quality and user harm - Regulatory and user-protection limits on how hard the app can push a first trade ### Follow-up Questions - If first-trade conversion rises but many new users lose money on intraday or derivatives trades and leave, what would you change? - Account approval can take days. How would you design the experiment and choose the measurement window? - How would the two features change for an experienced investor moving holdings from another broker?