Early in my career, I debugged by vibes. Something broke, I'd stare at the code, change something, redeploy, hope. Sometimes it worked. Often it made things worse.
When you are building systems that people depend on, you cannot afford to guess. I developed a framework for debugging systematically. It's not glamorous, but it works every time.
The Framework: ISOLATE
I — Identify the symptom (not the cause) S — Scope the blast radius O — Observe the data (logs, metrics, traces) L — List hypotheses (minimum 3) A — Assess each hypothesis with evidence T — Test the fix in isolation E — Explain what happened (postmortem)
Let me walk through a real example.
Real Case: Dashboard Loading 30 Seconds
I — Identify the symptom. Users report the quality dashboard takes 30+ seconds to load. Locally it loads in 2 seconds. Production only.
Don't jump to "it's a database problem" or "it's a network issue" yet. Just describe what you see.
S — Scope the blast radius. Is it all users or specific ones? All browsers? Started when? Correlated with a deploy?
In this case: all users, started 3 days ago, no deploy in that window. That eliminates "we shipped broken code" as the cause.
O — Observe the data.
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