How would you measure the success of Stash Financial's automated investing feature?

Introduction

Measuring the success of Stash Financial's automated investing feature requires a comprehensive approach that considers multiple stakeholders and aligns with the company's broader strategy. To effectively evaluate this product success metrics problem, I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Stash Financial's automated investing feature is a robo-advisor service that allows users to automatically invest their money based on predefined strategies and risk tolerances. This feature aims to simplify the investment process for novice investors while providing a hands-off approach for more experienced users.

Key stakeholders include:

1. End users (retail investors)
2. Stash Financial (the company)
3. Regulatory bodies
4. Partner financial institutions

The user flow typically involves:

1. Onboarding: Users answer questions about their financial goals and risk tolerance.
2. Strategy selection: Based on user inputs, the system recommends an investment strategy.
3. Funding: Users link their bank accounts and set up recurring deposits.
4. Automated investing: The system automatically invests funds according to the chosen strategy.
5. Monitoring and rebalancing: The system continuously monitors and adjusts the portfolio as needed.

This feature aligns with Stash's broader strategy of democratizing investing and making financial services more accessible to the average person. It competes with other robo-advisors like Betterment and Wealthfront, as well as traditional financial advisors.

In terms of product lifecycle, automated investing is likely in the growth stage, with increasing adoption but still room for significant expansion and feature enhancements.