This is the kind of question where you can either go broad and sound generic or get specific and risk picking the wrong things.
Start by clarifying that metrics should align with team goals and the product's stage, then propose a balanced set covering delivery, quality, and impact. Emphasize that metrics are for learning and improvement, not individual performance evaluation, and give examples relevant to Stripe's context.
Pro tip: Tie metrics to business outcomes and customer impact, and mention how you'd avoid vanity metrics or gaming. Show you understand that metrics should drive conversations, not replace judgment.
Ask about the team's objectives, product maturity, and stakeholder expectations to tailor metrics. This shows you don't apply a one-size-fits-all approach.
Choose metrics across delivery (e.g., cycle time), quality (e.g., change failure rate), and impact (e.g., feature adoption). Avoid over-indexing on any single dimension.
Specify how each metric is calculated, data sources, and frequency. Ensure they are automatable and low-overhead to collect.
Establish a regular cadence to review metrics, discuss trends, and adjust as team goals evolve. Use them to drive retrospectives and planning.
Share metrics transparently with stakeholders to build trust and align on priorities. Connect engineering work to customer and business outcomes.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.