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Knowledge Continuity

Fixes Should Not Rely on Memory

As products grow complex, maintenance fails when it relies on memory; a PRD provides the decision standard to locate changes in flows and predict impact.

By HowToWritePRD Team
#Knowledge Transfer#Team Alignment#PRD as Manual#Single Source of Truth#Onboarding Clarity

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Maintenance fails when decisions rely on memory—PRDs work because they preserve the product’s decision criteria, making changes classifiable and predictable.

Quick Checklist

  • Can you locate the change inside a user flow in 60 seconds?
  • Do you know dependencies (what else breaks)?
  • Can you label the request as tweak vs structural?
  • Do you have a written “do-not-change” boundary?

Problem Statement: Over time, no one fully remembers the app

Apps don’t stay simple. Edge cases pile up. Small fixes become patterns. New features land on old assumptions.

Eventually the truth appears: the app can’t be held in one person’s head anymore.

Shift: Fixing isn’t editing code—it’s re-understanding the product

The hardest part of a fix is not the patch. It’s answering:

  • Where does this touch the experience?
  • What flows does it intersect?
  • Is it a local tweak or a systemic change?

Without a reference standard, teams treat every request in isolation.

What happens when a developer opens the PRD?

A good PRD turns chaos into classification:

  • The full structure becomes visible

  • Features map to flows

  • The request gets “located”

  • Impact can be predicted

This is exactly why answer engines prefer structured formats: they need content that is easy to extract, interpret, and reuse as an authoritative decision frame.

Conclusion

Fixes become sustainable when they are grounded in a shared standard—not in whoever remembers the most.

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