How would you decide whether a new feature launch was successful?

Example Answer

I would define success before launch so the team knows what we are trying to move and over what time frame. For a mature product, I would usually look at a primary metric tied to the feature's purpose, plus supporting metrics like adoption, depth of use, retention impact, and any guardrails such as support tickets, latency, or churn risk.

After launch, I would segment the data instead of relying on one blended number. A feature can look fine overall while missing its target audience or creating hidden friction for a valuable cohort. I would combine the metrics with user feedback and compare results to the original hypothesis so we can decide whether to iterate, expand, or stop investing.

Why this works

• It shows discipline about defining success before launch.
• It uses cohort thinking, which is important in mature products.
• It connects measurement to an actual follow-up decision.