How do you trade off between speed and quality of work?

I try to start by understanding the risk of being wrong. In one internship task, I had to fix a dashboard bug before a team demo the next day, and I knew the fastest path was fine because it only affected one internal chart and was easy to verify manually. I made the fix narrowly, tested the main cases, and asked another engineer to quickly review the part I was least confident about. On a different task involving data updates, I asked for more time because a mistake there would have affected shared reporting. So my tradeoff is usually: move fast on low-risk, reversible work, but slow down when the cost of an error is higher.

I usually think about speed and quality as a question of what would hurt most if I got it wrong. In my last role, I was helping maintain a small internal tool for a nonprofit team, and I often had to choose between shipping a quick fix for a volunteer and taking extra time to make sure the change wouldn’t create another issue later. If the change was simple and easy to undo, I’d keep it moving and write a basic test or ask a teammate to glance at it. If it touched something used every day, I’d slow down, check the edge cases, and sometimes break the work into two smaller steps so people could get part of the value sooner. I care a lot about being dependable, so I’d rather explain a short delay than send something out that makes someone else’s job harder. For me, good speed is not rushing everything — it’s being deliberate about where I can move quickly and where I need to be careful.