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Behind final_v3_last_fixed.docx: The Hidden Technical Debt of Documentation in Large Projects

Opening: A Familiar Pain

If you've worked in a software company, you've probably seen a file named something like:
spec_v2.1_20250905_hotfix.docx

But what does it actually mean?

  1. The live version?
  2. The in-development version?
  3. A draft under discussion?

The answer could be any of them — or worse, different people might interpret it differently.

Why Version Semantics Matter

Each spec state is necessary for different reasons:

  • Live version: For CS, QA, and even customers to know what the system currently does.
  • In-development version: For engineers to align on the features being built.
  • Draft version: For teams to explore future directions and contribute to planning.

It gets even more complicated when a hotfix affects the spec. Without clear version control rules, documentation quickly becomes disorganized and unreliable.

Many teams simply choose not to do version control — leading to chaos:
PMs all have different habits: some mark changes with colors, some duplicate entire documents with new filenames, others just overwrite the same file. Some team members only maintain one file, mixing live, development, and proposal content all in one place. People end up referencing whichever version they're used to, ignoring the rest.

In the end, everyone is effectively working off different drafts, and discrepancies are patched through ad-hoc conversations. This risk compounds until late in the project, when it explodes.

🎯 Real Case

I once managed a large project involving a Japanese client and a Taiwan-based dev team.

Because there was no strict documentation control, versions were scattered. Combined with translation delays and time zone differences, we encountered serious issues:

  • The client was never sure which spec version was the source of truth and kept asking, "Is this feature included or not?"
  • QA frequently filed tickets saying "Does not match spec," but often those features were not even in scope for the current release.
  • The worst case was when development accidentally deployed a feature the client was still reviewing, causing production confusion.

This incident forced the client to spend 3 days re-testing, while the development team worked 2 weeks of overtime to roll back and fix the issue, delaying the project and damaging trust.

Root cause? No single source of truth, no status labeling, and no version synchronization.

Why Most Teams Don't Feel the Pain

This is a serious issue, but often ignored. Here’s why:

  1. Documentation errors don’t break immediately
    Code fails to compile right away when broken. Documentation errors often surface only in testing or production, multiplying fix costs.

  2. Meetings and Slack fill the gap — masking the problem
    Teams rely on ad-hoc verbal sync, hiding the underlying problem but adding invisible communication cost.

  3. Responsibility is diffused
    Docs involve PM, design, engineering, QA — meaning everyone is responsible but no one truly owns quality.

Borrowing from the World of Code

Fundamentally:

  • Code = specs for machines
  • Docs = specs for humans

Code has Git for version control. Why shouldn’t documentation have something equivalent? Before Git, engineers also lived with final_v3_latest.doc. We know how that ended — chaos at scale.

Practical Solutions: Bringing Version Control to Documentation

1. Define a “Single Source of Truth”

  • There must always be one main document that represents the live version.
  • This document only contains the most authoritative state; drafts and proposals must live elsewhere.
  • CS, QA, devs all know that "this is the place" to check specs.

2. Decide “Marking vs. Separate Files”

  • Inline Marking (small, short-term change): use highlights or comments with labels like In Progress or Draft.
  • Separate Files (large, long-term changes): spin up a new document (e.g. Spec_vNext) clearly marked as Draft, then merge it back into main after approval.

3. Tool-Specific Guidelines

  • Google Docs / Word: Use Spec_main for the main file, add Draft or Proposal suffix for others; use version history but manually tag release milestones.
  • Figma: Keep live state in the main pages; open new pages for drafts, name them clearly (e.g., Draft - Payment Flow v2), delete them after merging.
  • Notion / Confluence: Use hierarchy (Spec/Main, Spec/Proposals/*), and clearly mark status with Live/In Progress/Draft properties.

Adoption Strategy: Making Rules Stick

Good rules are easy to write — hard to get adopted. Here's how to drive adoption:

  1. Collect Pain Points First
    Interview PMs, engineers, QA, designers, gather real cases of confusion. Show these pain points to the team to create urgency.

  2. Co-Design the Solution
    Don't impose rules top-down. Use these pain points as discussion starters, get the team to co-create a version control process that fits them.

  3. Start Small
    Pilot the process with one team or product line. Measure impact (fewer version mismatches, fewer QA tickets), then roll out org-wide.

  4. Assign Roles & Responsibilities
    Appoint document owners. Add a simple pre-release check: “Is the spec up to date?”

  5. Iterate Continuously
    Review and refine the process as the team grows or workflows evolve.

  6. Show Results Publicly
    Quantify wins (e.g., 30% fewer QA mismatches, fewer meetings) and broadcast them to build momentum.

Closing: A Call to Action

Messy documentation is not a trivial issue — it’s one of the most expensive forms of hidden technical debt.

  • Every misunderstanding can trigger another meeting
  • Every version mismatch can misalign development, QA, and even the client
  • Every fix costs much more than preventing the issue in the first place

Code has Git because mistakes explode immediately. Docs don't break immediately — but the cost only grows the longer we ignore them.

💡 Immediate Action Plan

Here are three things you can do today:

  1. Choose a single source of truth: everyone knows where to look for the latest spec.
  2. Define marking rules: decide which changes stay inline and which get split into separate files.
  3. Label version status: at minimum, add Live / In Progress / Draft labels.

👉 “If code has Git, why can’t specs?”
👉 “Documentation management is not clerical work — it’s critical project infrastructure.”

Want to Learn More?

If you're interested in product management, project management, technical leadership, cross-cultural collaboration, or team organization design, feel free to explore more articles or contact me directly to discuss your ideas and challenges.