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Controlled Vocabulary - Kristin McKee - Write the Docs Portland 2018 Lightning Talk thumbnail

Controlled Vocabulary - Kristin McKee - Write the Docs Portland 2018 Lightning Talk

Write the Docs·
4 min read

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TL;DR

A controlled vocabulary is a living list of terms, phrases, and concepts meant to reduce ambiguity in a specific context.

Briefing

A controlled vocabulary is a living, organized list of terms, phrases, and concepts designed to help people navigate a specific context—and the payoff is practical: fewer misunderstandings, more consistent documentation, and clearer alignment between product teams and readers. Kristen McKee, working at Jama Software, frames the idea around a year-long effort to untangle how the company’s documentation used words that looked familiar but carried different meanings for different people.

When she arrived, Jama already had about 600 pages of documentation assembled over a decade. To understand what existed, she approached the docs like an “explorer and archaeologist,” tracking recurring terms and noticing patterns. One example was the word “visual view.” It appeared frequently, but it didn’t mean the same thing to her as it did to others—an early signal that the documentation relied on an “implicit vocabulary,” where teams assume everyone shares the same definitions.

That gap became concrete during a standup meeting. Someone repeatedly referenced “sprinkles,” and only after the group listened closely did it click that the person was actually talking about “Sprint goals.” The moment illustrated how easily shared assumptions about everyday words can break down inside a specialized workplace. People hear what they expect to hear, not necessarily what’s being said.

To bring meaning out of the shadows, McKee spent the year reviewing documentation in depth, interviewing customer-facing staff, and visiting departments including marketing, product support, and engineering. The goal wasn’t just to list terms—it was to ask which words customers and teams wanted to understand, and which words others wished everyone else knew better. The research reinforced a key finding: even when people use the same word, they often attach slightly different meanings.

From there, she offers concrete guidance for building a controlled vocabulary. The foundation is strict mapping: one meaning for one term, and one term for one meaning. She also recommends pairing certain verbs with nouns consistently—for example, deciding whether the system uses “add an item” versus “create an item,” rather than letting both drift. Finally, she emphasizes that controlled vocabularies should be treated as living references that grow over time, not as static rules for “right” and “wrong.”

The benefits are both reader-facing and internal. Consistency helps users learn a term once and reuse it, while documentation can become shorter and more succinct because definitions don’t need to be repeated. Confusion drops for internal teams too, and—perhaps most strategically—shared understanding can help guide product vision by making communication more precise across functions.

Cornell Notes

A controlled vocabulary is a living, organized set of terms, phrases, and concepts meant to help people navigate a specific context. Kristen McKee’s experience at Jama Software shows how “implicit vocabulary” can cause confusion when the same word carries different meanings across teams. A standup mix-up—“sprinkles” actually referring to “Sprint goals”—illustrates how shared assumptions can lead people to hear what they expect. By reviewing documentation, interviewing customer-facing staff, and visiting departments, she gathered term preferences and meaning gaps to build a controlled vocabulary. The approach improves consistency, shortens documentation, reduces confusion, and can even align product direction by clarifying shared understanding.

What problem does an “implicit vocabulary” create in documentation and team communication?

An implicit vocabulary relies on the assumption that everyone shares the same meaning for common words. When that assumption fails, people interpret terms differently or even “hear” the wrong concept. McKee’s standup example shows this: repeated talk of “sprinkles” was actually about “Sprint goals,” because listeners filled in meaning based on expectations rather than the speaker’s intended term.

How did McKee identify that existing documentation used terms inconsistently?

She treated the documentation like an archaeological dig—tracking recurring words and checking whether they meant the same thing to different people. One example was the frequent term “visual view,” which she realized didn’t carry the same meaning for her as it did for others, signaling a deeper mismatch in definitions.

What research steps helped build a controlled vocabulary at Jama Software?

McKee reviewed the documentation in depth, spoke with customer-facing staff, and conducted “controlled vocabulary visits” to departments such as marketing, product support, and engineering. She asked two key questions: which words people wanted to know more about, and which words others wished everyone else understood better. This surfaced both customer needs and internal meaning differences.

What rules make a vocabulary “controlled” rather than just a glossary?

A controlled vocabulary enforces one-to-one mapping: one meaning for one term, and one term for one meaning. It also standardizes usage patterns, such as pairing specific verbs with specific nouns (e.g., choosing between “add an item” and “create an item”). The goal is consistent reuse, not a loose list of definitions.

Why treat a controlled vocabulary as “living” and growing?

Because language and product workflows evolve. McKee recommends cultivating it as an ongoing reference rather than a static document. That keeps definitions aligned with real usage across teams and prevents the vocabulary from becoming outdated or merely ceremonial.

What concrete benefits does a controlled vocabulary deliver?

It improves consistency between product and documentation, helps users learn a term once and reuse it, and can make documentation shorter and more succinct because definitions don’t need to be re-argued repeatedly. It also reduces confusion for internal teams and supports product vision by creating a common understanding across functions.

Review Questions

  1. Give an example of how two teams might use the same word differently, and explain how a controlled vocabulary would address it.
  2. What does “one meaning for one term” practically require when writing documentation or UI text?
  3. How could interviewing customer-facing staff and visiting engineering or marketing change the vocabulary priorities compared with relying on internal assumptions?

Key Points

  1. 1

    A controlled vocabulary is a living list of terms, phrases, and concepts meant to reduce ambiguity in a specific context.

  2. 2

    Implicit vocabulary breaks down when people assume shared meanings; the result can be miscommunication even with familiar words.

  3. 3

    Mapping one meaning to one term (and vice versa) is the core rule for controlling vocabulary.

  4. 4

    Standardize verb–noun pairings (e.g., choose and consistently use “add an item” vs. “create an item”).

  5. 5

    Build the vocabulary through research: review existing docs, interview customer-facing staff, and collect term needs from multiple departments.

  6. 6

    Treat the controlled vocabulary as a growing reference so it stays aligned with evolving product language and workflows.

  7. 7

    Shared terminology improves documentation clarity and can also strengthen internal product alignment and vision.

Highlights

“Sprinkles” in standup turned out to be “Sprint goals,” showing how people can hear what they expect when meanings aren’t explicit.
The term “visual view” appeared often, but it didn’t mean the same thing across readers—an early clue that definitions were drifting.
A controlled vocabulary enforces one-to-one mapping: one meaning per term and one term per meaning.
Controlled vocabularies work best when they’re living references, not static rules.
Consistency can make documentation shorter, reduce confusion, and help teams align on product direction.

Topics

  • Controlled Vocabulary
  • Documentation Consistency
  • Implicit Vocabulary
  • Term Definitions
  • Cross-Team Alignment

Mentioned

  • Jama Software
  • Kristen McKee