They were not interested in what you built.
Choose a project where you can clearly articulate the problem, your specific contributions, and the quantifiable outcomes. Use a structured narrative like STAR to keep your answer focused, and emphasize metrics that align with Rippling's emphasis on product analytics and adaptability. Highlight how you navigated ambiguity and made data-driven decisions.
Pro tip: Quantify impact in terms of business metrics (e.g., revenue, retention, efficiency) rather than just technical metrics, and be ready to explain how you measured them. Show that you understand the 'why' behind the project, not just the 'what'.
Briefly describe the project, your role, and the team's goal. Mention the ambiguity or challenge that made it non-trivial.
Outline the steps you took, focusing on how you navigated ambiguity, prioritized tasks, and collaborated with others.
Present concrete metrics that show the project's success, such as percentage improvements, time saved, or revenue generated. Explain how you measured them.
Share what you learned and how you adapted, tying it back to skills relevant to Rippling (e.g., data-driven decision making, scalability).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.