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Why Your Software Documentation Shouldn’t Live in Work Tracking Tools

At some point, most teams have had this experience. A new developer joins, or an architect wants to understand what a system actually does. Someone tells them: "Just look in Jira."

Or worse, a product manager asks what the current requirements are, and the response is,\ "Check ADO."

Or Confluence. Or Trello. Or Asana. Or whatever tool your team uses to track work.

This is madness. These tools are historical records, not authoritative documentation. They are a swamp of old tickets, half-baked ideas, abandoned features, and noise. Digging through them to understand what a system does is like being a history post-doc sifting through centuries of old letters and reports. You’re hoping to piece together what’s currently true.

What’s Wrong with Using Work Tracking Tools as a Source of Truth?

  1. They Are Time-Sensitive Snapshots

  2. A ticket represents a moment in time: what was planned, worked on, or completed at a given point.

  3. They can show whether a feature was deployed at some point, but that doesn’t mean it still exists in its original form.

  4. It won’t easily tell you if another feature later changed, replaced, or removed it.

  5. They Contain Noise and Half-Truths

  6. User stories evolve. Acceptance criteria get rewritten. Bugs are fixed and reopened.

  7. Sprint goals change. Requirements shift. People forget to update old tickets.

  8. Non-standard workflow use might give hints about whether a feature still exists, but it’s far from reliable.

  9. They Lack Structure for Understanding the System

  10. Even well-organised backlogs don’t provide a clear, coherent view of what the software does today.

  11. There’s no logical structure—just an ever-growing list of issues sorted by priority or date.

  12. They Mix Future Plans, Current State, and Past Decisions

  13. A ticket might describe a feature that was implemented.

  14. Or one that was planned but later scrapped.
  15. Or a bug that was fixed, but the feature it relates to no longer exists.

This makes it impossible to get a clean, authoritative view of what’s actually in production.

What Should Exist Instead?

1. A Controlled, Structured System Document – “What the Software Does”

  • This is the single source of truth for the current functionality.
  • It should be structured and controlled, not an ad-hoc wiki that grows into its own chaotic mess.
  • Ideal formats include docs-as-code, structured architectural documentation (e.g., arc42, C4 models, ADRs), or controlled internal documentation systems.
  • Updates to this documentation should be treated as critical as updates to the code itself.
  • Changes should be reviewed in the same way as code changes—as part of the feature development process.

2. Current Requirements as a Separate, Defined Document

  • A structured, up-to-date document describing active requirements, rather than having to reverse-engineer them from ticket statuses.

  • Clearly distinguishes between:

  • Features that are currently planned.

  • Features that are implemented and in use.

  • Features that are obsolete or removed.

  • This document should be actively maintained as part of the development process.

3. Architectural Documentation Tied to Features

  • High-level architectural documents should be tied to features or similar groupings, ensuring they remain relevant and actionable.
  • This prevents them from becoming outdated, vague, or disconnected from real implementations.
  • Whenever a feature changes in a way that impacts architecture, the corresponding documentation must be updated alongside the code.

4. Work Tracking Tools as an Archive and Work Tracker (Nothing More)

  • Use Jira, ADO, or whatever tool you use for tracking work.
  • Keep history, sprint plans, and prioritisation there.
  • But do not rely on it as a definitive source for what the software does.

The Bottom Line

Work tracking tools are not knowledge bases. They are a swamp of past decisions and half-truths, and no one should have to wade through them to understand what a system does.

Instead, invest in:

  • ✅ A structured, controlled system document (what the software does).
  • ✅ A separate, structured requirements document (what’s needed).
  • ✅ Architectural documentation that stays tied to features.
  • ✅ Treating documentation updates as critical as code updates, with the same level of review.
  • ✅ Using Jira, ADO, and similar tools only for work tracking (not as documentation).

Because no one should need a PhD in backlog archaeology just to understand your software.