It’s tempting to diagnose a team’s recurring “why did we build this?” moments as a documentation problem — not enough was written down, so write more. That diagnosis is usually wrong, and it leads teams to invest in the wrong fix: more templates, more mandatory fields, more meetings to review the docs that already exist.

The actual problem is narrower and harder to see: it’s not that documentation is missing, it’s that the documentation that exists isn’t connected to anything that keeps it true.

Documentation answers “what.” Context answers “why, and is it still true.”

A well-written PRD can tell you exactly what was built. What it usually can’t tell you is why, specifically, in a way that’s still verifiable months later — which customer evidence, which trade-off, which alternative was rejected and why. That’s the difference between documentation and institutional memory: documentation is a record of a moment; institutional memory is a record that stays connected to the reasoning behind it, checkable against reality as reality changes.

Why teams keep reaching for the wrong fix

More documentation feels like the responsible answer because it’s the one within a single person’s control — a PM can decide to write a better doc tomorrow. Fixing the actual problem requires a structural change: connecting the reasoning to its evidence and its outcome, which usually means adopting a system, not just a habit. That’s a harder sell in a sprint retro, so teams default to the fix that’s easier to commit to, even when it doesn’t address the actual failure.

What a context problem looks like from the outside

Three symptoms show up reliably: engineers asking “why are we building this” in sprint planning despite a PRD existing; a PM unable to answer, off the top of their head, why a decision from two quarters ago was made; and nobody able to say, without digging, whether a shipped feature actually achieved what it set out to do. All three point to the same root cause — the reasoning was never structurally connected to anything that would keep it retrievable and current.

What actually solves a context problem

The fix has to be structural: evidence stays attached to the decision it produced, with its source and freshness visible; the decision stays connected to the actual codebase, not a static description of it; and the loop closes with a check on whether the outcome matched the intent. That’s not a documentation practice — it’s an architecture. It’s also the specific architecture Argus is built around, because writing more docs was never going to be the fix.