IntermediateBEHAVIORAL
Tell me about a time you significantly improved the performance of a page or API you owned. What metrics were you tracking, how did you identify the bottlenecks (frontend vs backend), and what optimizations did you ship?
Full Stack Developer
General

Sample Answer

On my last team, our main dashboard page was taking 5–7 seconds to load for about 30k monthly users, and support tickets were piling up. I wired up Real User Monitoring and tracked p95 page load, Time to First Byte, and API latency. The browser dev tools showed most time was spent waiting on a single analytics API, so I started there. On the backend, New Relic traces showed a heavy N+1 query plus some expensive JSON serialization. I added proper eager loading, reduced payload size by ~40%, and introduced simple in‑memory caching for common queries. That took the API p95 from ~2.8s to 450ms. On the frontend, we switched to lazy loading secondary widgets and skeleton states so users saw content in under a second. Overall, dashboard p95 dropped from ~6s to 1.2s, and related support tickets fell by about 60% over the next quarter.

Keywords

Used RUM and APM tools to get concrete p95 metricsIdentified backend N+1 queries and heavy serialization as main bottlenecksReduced payload size and added caching plus frontend lazy loadingQuantified impact: large reduction in load time and support tickets
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