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Skills TaxonomyMarch 9, 2026·6 min read

The Hidden Language of Work: Occupations, Skills, and Activities Explained

Most systems see “8 hours in email and spreadsheets.” WorkGraph is learning to see something deeper: which job someone is actually doing, which skills they’re using, and which activities are consuming time.

To do that reliably, we anchor WorkGraph on a research-backed occupational framework used across the U.S. economy. It describes hundreds of occupations, dozens of core skills, and a rich set of work activities — all based on large-scale studies of real workers and experts. This page is a plain-English primer on that system and why it matters for your organization.

Occupations: The “Job Types” Behind Titles

An occupation is a standardized description of a type of job — like “Marketing Manager,” “Software Developer,” or “Marine Engineer” — that shows up across many companies.

Each occupation in the framework includes:

  • A title and many alternate job titles used in the market
  • The level of preparation required (training, education, experience)
  • A profile of the skills, knowledge, and work activities that define the role

Example: Marine Engineers & Naval Architects

The framework captures what these professionals actually do:

  • They spend a lot of time getting information — reading technical specs, design documents.
  • They regularly monitor processes and materials — checking performance of systems and structures.
  • They frequently inspect equipment and structures and estimate quantifiable characteristics like loads, capacities, and tolerances.

Those activities come from structured ratings with sample sizes, importance scores, and confidence intervals gathered from experts.

In WorkGraph, this means that over time we can say, “This person’s work patterns look like a marine engineer” (or a financial analyst, or an account manager) — regardless of what their internal job title says.

Skills: What People Bring to the Work

Skills are learnable capabilities — things people can develop with training and practice. The framework distinguishes a focused set of core skills that show up across many jobs.

Basic Skills

Thinking & Learning

  • Reading Comprehension

    Understanding written sentences and paragraphs in work-related documents.

  • Mathematics

    Using math to solve problems, from simple calculations to complex models.

  • Critical Thinking

    Using logic and reasoning to evaluate options and choose the best approach.

  • Active Learning

    Understanding the implications of new information for current and future decisions.

Cross-Functional Skills

People, Systems & Technology

  • Active Listening

    Giving full attention to what others are saying, asking good questions, not interrupting.

  • Speaking

    Conveying information effectively to clients, peers, and leadership.

  • Writing

    Communicating effectively in writing for the needs of the audience.

  • Complex Problem Solving

    Identifying complex problems, reviewing related information, developing and evaluating options.

  • Time Management

    Managing one’s own time and the time of others.

For a typical business-development or account-management role, the most important skills often include critical thinking, reading comprehension, writing, active listening, complex problem solving, and speaking — all rated at high importance. That mix tells you what really drives performance in that role.

WorkGraph uses this structure to move from “who touched which tools” to “which skills were actually in play during this work.”

Work Activities: What People Actually Do All Day

If skills are “what you bring,” work activities are “what you actually do.” They are standard descriptions of job behaviors that show up in many occupations.

The framework groups activities into categories such as:

📥
Information Input

Getting and monitoring information

🧠
Mental Processes

Analyzing data, making decisions, planning

📤
Work Output

Producing things, operating equipment, documenting

🤝
Interacting with Others

Communicating, selling, coordinating, leading

Examples of Generalized Work Activities

  • Getting InformationObserving, receiving, and otherwise obtaining information from all relevant sources.
  • Analyzing Data or InformationIdentifying the underlying principles, reasons, or facts by breaking information into separate parts.
  • Updating and Using Relevant KnowledgeStaying current by attending training, keeping up with changes in a field, or learning new tools.
  • Documenting / Recording InformationEntering, transcribing, storing, or maintaining information in written or electronic form.
  • Performing General Physical ActivitiesActivities like loading materials into equipment, moving products between work areas, or cleaning workpieces in more hands-on jobs.

For each occupation, these activities are rated for importance and level, with statistical detail (sample sizes, standard errors, confidence intervals) so they can be compared reliably.

Detailed Work Activities

Under the hood, the system also defines thousands of detailed work activities like:

Analyze financial data to identify trendsPrepare operational reportsAttend training sessions to develop or maintain professional knowledgeCoordinate project activitiesClean workpieces or finished products

These detailed activities are mapped to occupations and to higher-level work activity categories through a series of reference files. That mapping is what lets WorkGraph say, “This pattern of steps looks like ‘analyzing data or information’ for an analyst, or like ‘documenting and recording information’ for a compliance role.”

How This Helps You, Without the Jargon

By combining WorkGraph’s real work capture with this occupational language, you get:

1.

Time by Capability, Not Just by Project

Instead of "30 hours on Project Alpha," you see "12 hours analyzing data, 8 hours client communication, 6 hours documentation, 4 hours coordination."

2.

Clarity on What Roles Actually Do

Compare what your "analysts" really spend time on against the standardized profile of analyst-type work — how much is true analysis vs coordination vs documentation.

3.

Better Automation and AI Decisions

Activities like "processing information" and "documenting/recording information" tend to be more automatable, while "making decisions" or "negotiating" usually remain human-led. That gives you a principled way to decide where AI workers can safely plug in.

4.

A Shared Language Across Teams and Tools

Because the framework is used broadly by workforce and labor experts, it creates a neutral, research-backed vocabulary that HR, operations, IT, and business leaders can all understand.

WorkGraph isn’t inventing its own theory of work. It’s aligning what your people actually do on their screens with a rigorously researched map of occupations, skills, and work activities — so you can see your workforce in terms that are meaningful, comparable, and ready for AI.

Ready to See Your Workforce Through This Lens?

WorkGraph’s skills taxonomy turns raw screen activity into occupational intelligence. See it in action.

Request a Demo