# Decision Conditions Across 200 U.S. Professional Occupations: O*NET 31.0 Evidence

> O*NET 31.0 evidence across 200 occupations maps decision authority, coordination and consequence-pressure conditions into the DECIDE-3 development model.

- Canonical page: https://mtfinstitute.com/insights/decision-conditions-200-us-professional-occupations-onet-31/
- Content type: Article
- Editorial category: Research & Reports
- Publisher: MTF Institute of Management, Technology and Finance
- Author: MTF Institute Editorial Team- Published: 2026-09-23
- Updated: 2026-09-23
- Language: English
- Topics: Management development, Decision Making, O*NET, Occupational Research, Decision Authority

**Research Report MTF-RR-2026-09-23-01**

Professional work differs not only by knowledge or software but by the conditions under which people must decide. Using O*NET 31.0 Work Context data, this report compares 200 detailed U.S. occupations across management, business and financial operations, computer and mathematical, architecture and engineering, and legal work. It measures seven reported context elements: frequency of decision making, impact of decisions, freedom to decide, consequence of error, coordination or leadership, teamwork and time pressure.

The result is not a ranking of job value or difficulty. It is a map for designing management development, delegation, controls and career evidence. Management occupations have the highest median combined decision conditions in the five-group sample, while legal occupations show the highest median authority and consequence-pressure profiles. Yet important exceptions inside every group mean employers should design roles from actual decisions rather than occupational labels alone.

## Research question

How do decision authority, coordination and consequence-pressure conditions vary across 200 U.S. professional occupations in O*NET 31.0, and what practical decisions can managers, learners and curriculum designers make from those differences?

Four subsidiary questions guide the analysis:

1. Which occupational groups have the highest median authority, coordination and consequence-pressure conditions?
2. Which occupations combine frequent, consequential and autonomous decisions?
3. Which occupations combine strong teamwork and coordination requirements?
4. How should the evidence change development plans, delegation and control design?

## Direct answer and key findings

Across the 200 included occupations, the median authority index is 3.875 on the O*NET Work Context scale, the median coordination index is 4.005, and the median consequence-pressure index is 3.370. The median combined decision-conditions index is 3.741.

Management has the highest group median combined index at 3.972 and the highest coordination median at 4.345. Legal has the highest authority median at 4.323 and consequence-pressure median at 3.640, although it contains only seven detailed occupations and should not be generalized as precisely as larger groups. Computer and mathematical occupations have the lowest group median combined index in this five-group comparison at 3.633, but still show a high median freedom-to-decide value of 4.11 and include high-coordination exceptions such as health informatics specialists.

Judges, magistrate judges and magistrates have the highest combined score in the sample at 4.533. Their authority index is 4.830, coordination index 4.580 and consequence-pressure index 4.190. Chief executives rank second on authority at 4.763, while general and operations managers rank third at 4.753. Education administrators in kindergarten through secondary school have the highest coordination index at 4.755. Title examiners, abstractors and searchers have the highest consequence-pressure index at 4.450, driven by the measured combination of error consequence and time pressure.

These patterns support a three-part development model: prepare people for the authority they will exercise, the coordination system they must operate and the consequences they must control. Teaching generic “leadership” without this context is unlikely to be sufficient.

## Data source

The analysis uses the [O*NET 31.0 database](https://www.onetcenter.org/database.html), released in August 2026 by the U.S. Department of Labor-sponsored O*NET programme. The archive preserves the official `Occupation Data.txt`, `Work Context.txt`, `Work Context Categories.txt`, `Content Model Reference.txt`, `Scales Reference.txt` and related source tables used for verification.

O*NET Work Context values summarize occupational conditions from incumbent and other approved sources. They describe occupations in aggregate. They are not vacancy counts, forecasts, performance standards, legal rules or guarantees about one employer. The unit of observation in this report is a detailed O*NET-SOC occupation with complete values for all seven selected elements.

## Inclusion and exclusion

The intended population was every detailed occupation in five O*NET-SOC major groups: Management (11), Business and Financial Operations (13), Computer and Mathematical (15), Architecture and Engineering (17), and Legal (23). These groups were selected because they represent a broad cross-section of managerial and professional work and allow comparison with the Institute’s earlier research on work activities and software skills.

The source occupation table contained 214 relevant titles. Fourteen residual or aggregate “all other” titles had no complete Work Context values for the seven elements and were excluded rather than imputed. The final sample therefore contains 200 valid occupations: 55 management, 46 business and financial operations, 36 computer and mathematical, 56 architecture and engineering, and seven legal occupations.

No occupation was removed because its value looked surprising. No missing values were estimated. The archive lists every excluded code and missing field.

## Measures

Seven O*NET elements are used:

- Frequency of Decision Making;
- Impact of Decisions on Co-workers or Company Results;
- Freedom to Make Decisions;
- Consequence of Error;
- Coordinate or Lead Others in Accomplishing Work Activities;
- Work With or Contribute to a Work Group or Team; and
- Time Pressure.

For each occupation, the authority index is the arithmetic mean of decision frequency, decision impact and decision freedom. The coordination index is the mean of coordinating or leading others and teamwork. The consequence-pressure index is the mean of consequence of error and time pressure. The combined decision-conditions index is the unweighted mean of these three indices.

The composite is an original descriptive device, not an O*NET measure. Equal weighting makes the method transparent but does not imply that every employer should weight the dimensions equally. Readers should inspect the component values before using the composite.

## Group results

| Occupational group | n | Authority median | Coordination median | Consequence-pressure median | Combined median |
|---|---:|---:|---:|---:|---:|
| Management | 55 | 4.193 | 4.345 | 3.380 | 3.972 |
| Legal | 7 | 4.323 | 3.675 | 3.640 | 3.794 |
| Business and Financial Operations | 46 | 3.953 | 3.907 | 3.335 | 3.708 |
| Architecture and Engineering | 56 | 3.725 | 3.965 | 3.375 | 3.695 |
| Computer and Mathematical | 36 | 3.650 | 3.843 | 3.320 | 3.633 |

Management’s profile is consistently broad. Its median decision frequency is 4.09, impact 4.15, freedom 4.35, coordination or leadership 4.10, teamwork 4.64 and time pressure 3.91. This supports development that integrates authority, operating cadence, delegation and stakeholder coordination rather than treating leadership as communication alone.

Legal occupations show the highest median decision impact at 4.48, decision freedom at 4.67 and time pressure at 4.26. The sample is small and diverse, so the result should prompt local role analysis rather than a claim about every legal professional.

Business and financial operations show a median decision impact of 4.00 and decision freedom of 4.15. The group includes high-authority work such as claims adjustment, loan decisions and purchasing, as well as roles with more bounded authority. Architecture and engineering show a higher median error consequence than the other large groups at 3.06, consistent with the need to pair technical autonomy with validation and control.

Computer and mathematical occupations have lower median decision frequency and impact than management in this dataset, but a median decision freedom of 4.11 and teamwork of 4.28. Technical work can therefore combine substantial autonomy with interdependence even when formal business authority is more limited.

## Highest combined decision conditions

| Rank | Occupation | Group | Authority | Coordination | Consequence-pressure | Combined |
|---:|---|---|---:|---:|---:|---:|
| 1 | Judges, Magistrate Judges, and Magistrates | Legal | 4.830 | 4.580 | 4.190 | 4.533 |
| 2 | Funeral Home Managers | Management | 4.487 | 4.530 | 4.055 | 4.357 |
| 3 | Marketing Managers | Management | 4.423 | 4.665 | 3.845 | 4.311 |
| 4 | Geothermal Production Managers | Management | 4.420 | 4.345 | 4.150 | 4.305 |
| 5 | Wind Energy Operations Managers | Management | 4.450 | 4.335 | 4.090 | 4.292 |
| 6 | Gambling Managers | Management | 4.433 | 4.700 | 3.725 | 4.286 |
| 7 | Biofuels Production Managers | Management | 4.527 | 4.305 | 3.960 | 4.264 |
| 8 | Chief Executives | Management | 4.763 | 4.325 | 3.590 | 4.226 |
| 9 | Lodging Managers | Management | 4.530 | 4.655 | 3.475 | 4.220 |
| 10 | Food Service Managers | Management | 4.437 | 4.735 | 3.475 | 4.216 |

The table demonstrates why title prestige is a poor proxy for operating intensity. Funeral-home, lodging and food-service managers combine repeated decisions, coordination and time-sensitive service conditions. Leadership programmes designed only around corporate office cases can miss the high-frequency human and operational decisions found in these environments.

## Authority leaders

Judges lead the authority index at 4.830, followed by chief executives at 4.763 and general and operations managers at 4.753. Administrative law judges, adjudicators and hearing officers score 4.657. Buyers and purchasing agents for farm products score 4.640, claims adjusters, examiners and investigators 4.630, insurance appraisers 4.577 and loan officers 4.573.

Authority therefore appears in both executive and specialist roles. A purchasing or claims professional may make repeated consequential decisions inside a defined domain even without a large team. Career development should distinguish formal people management from decision authority.

For managers, the practical question is whether the person has access to evidence, clear limits and an appropriate review route. High autonomy without information or controls is abandonment; detailed approval without meaningful discretion is not development.

## Coordination leaders

Education administrators in kindergarten through secondary school have the highest coordination index at 4.755. Food-service managers follow at 4.735, meeting, convention and event planners at 4.720, gambling managers at 4.700 and marketing managers at 4.665. Computer and information systems managers score 4.650, and health informatics specialists are a technical exception at 4.635.

These occupations require orchestration across people, schedules, expertise, customers or regulated systems. Coordination capability should therefore be assessed through operating artifacts: stakeholder maps, handoff rules, meeting design, issue escalation, service recovery and decision records. A self-reported ability to “work well with others” is weak evidence.

The results also caution against using team size as the only leadership measure. Event planners and health informatics specialists can have intensive coordination obligations across parties they do not directly manage.

## Consequence and pressure leaders

Title examiners, abstractors and searchers lead the consequence-pressure index at 4.450. Judges score 4.190, geothermal production managers 4.150 and aerospace engineering and operations technologists and technicians 4.125. Wind-energy operations managers score 4.090. The top fifteen also include lawyers, non-destructive testing specialists, customs brokers, coroners and penetration testers.

This mix spans legal records, adjudication, energy operations, engineering inspection, border processes and cybersecurity. The shared development need is not one technical subject. It is disciplined work under consequence: evidence quality, independent checks, stopping rules, escalation, documentation and recovery.

Pressure should not be romanticized. A high score does not justify chronic overload. Organizations should redesign avoidable queue pressure while preserving deliberate review where error consequences are material.

## What lower combined scores mean

Mathematicians have the lowest combined score in this specific sample at 2.908, driven by lower reported decision frequency, coordination and consequence-pressure values, while decision freedom remains high at 4.50. Appraisers and assessors of real estate, arbitrators and mediators, data scientists, computer programmers and several specialist technical occupations also appear in the lower part of the combined ranking.

This does not mean the occupations are easy, unimportant or replaceable. The composite does not measure cognitive complexity, education, creativity, social value or pay. It measures seven work-context conditions. A mathematician may solve exceptionally difficult problems with substantial autonomy but less frequent organizational decision authority or coordination. The distinction is exactly why development should be role-specific.

## A DECIDE-3 development model

The findings support three evidence tracks.

**Authority practice.** Learners should frame a decision, identify alternatives, quantify effects, state assumptions and make a recommendation within explicit boundaries. Evidence includes a decision memo, financial case, approval record and retrospective.

**Coordination practice.** Learners should align parties without relying on hierarchy. Evidence includes a stakeholder map, handoff design, operating cadence, conflict record, service recovery and closure log.

**Consequence practice.** Learners should identify failure modes, define checks, distinguish reversible from irreversible actions, set stopping and escalation rules and prepare recovery. Evidence includes a risk assessment, test set, control record and incident exercise.

A development plan should weight the three tracks using the actual target role. Someone moving from data science into general management may already have analytical autonomy but need repeated practice in resource decisions and coordination. A service manager may have strong operational coordination but need deeper financial and portfolio discipline.

## Implications for delegation

Do not delegate solely to reduce a senior manager’s workload. Match the decision to evidence access, competence, conflict controls, consequence and reversibility. Define guardrails and review outcomes. The companion MTF [decision-load audit](https://mtfinstitute.com/insights/manager-decision-load-audit-bottlenecks-delegation-review-cadence/) provides a practical method.

The O*NET values describe a typical occupation, not a specific employee. Before changing authority, inventory the employer’s real decisions. A software manager in a regulated medical environment may face higher consequences than an occupational average; a chief executive in a small stable entity may face different coordination demands than a large-company counterpart.

## Implications for hiring and promotion

Replace generic “leadership experience” requirements with target conditions. Ask candidates to describe a frequent decision with meaningful impact, a coordination challenge without direct authority and a situation where error consequences required controls. Require context, evidence, action, boundary and result.

For promotion, assess work samples at the next level before granting irreversible authority. A temporary project, acting role or supervised decision portfolio can reveal how the person uses evidence and escalates uncertainty. Do not create unpaid shadow roles or expose clients and employees to unbounded experiments.

## Implications for curriculum design

Curricula for management roles should integrate finance, operations, people, risk and communication around decisions. Technical programmes should add coordination and consequence practice when graduates are expected to lead cross-functional implementation. Legal and risk programmes should balance individual judgment with operating systems that preserve review and records.

An applied assignment should state which DECIDE-3 track it develops. A strategy memo without execution tests authority but not necessarily coordination. A group presentation may test collaboration but not consequence management. A capstone can integrate all three when the rubric makes them visible.

## Responsible use with AI and automation

AI can prepare evidence, identify patterns or draft recommendations, but fluent output does not transfer accountability. High-authority or high-consequence decisions need source traceability, evaluation, human challenge, access controls, logging and fallback. The [NIST AI Risk Management Framework](https://airc.nist.gov/airmf-resources/airmf/5-sec-core/) offers voluntary lifecycle functions for governing, mapping, measuring and managing AI risk.

Use automation to reduce avoidable preparation and queue work, not to erase judgment. If a model cannot access a relevant policy, interprets a stale source or acts outside authority, the process can fail even when its text appears convincing.

## Robustness checks and limitations

The analysis preserves component values and does not infer causality. Medians reduce sensitivity to outliers but can conceal within-group variation. The seven legal occupations make that group’s median less stable than the larger groups. Work Context data come from different dates and source types across occupations. The report does not weight observations by employment, vacancies or economic output.

The original composite uses equal-weight means. Different weights can change ranks. The report therefore treats rankings as descriptive and focuses on component profiles. It excludes fourteen aggregate titles without complete selected values. It does not test statistical significance, employee outcomes, performance or future change.

O*NET is U.S.-oriented. International readers should not transfer occupational values without local evidence. Employers should not use the report to make individual employment decisions without job analysis and fair assessment.

## Reproducibility package

The archival package contains the official O*NET source tables, analysis script, occupation-level profile with all seven elements and indices, major-group summary, top and bottom tables, dimension leaders, methodology, README and the final searchable PDF. `analysis.json` records the sample, exclusions, medians and rankings. CSV files allow readers to reproduce every reported figure.

The report is authored by the MTF Institute Editorial Team. Method, calculations, source alignment, word-count compliance and publication metadata were checked with the MTF editorial methods-review checklist before release; the archive preserves the completed review record.

## Practical next step

Select a target occupation from the archived profile. Compare its authority, coordination and consequence-pressure values with your current role. Build one evidence artifact for the largest gap during the next thirty days, then ask a qualified reviewer to challenge the decision boundary and outcome.

> ### Develop integrated management capability
> The [Advanced Executive Program in Management & Business Administration](https://mtfinstitute.com/programs/advanced-executive-management-business-administration/#enroll) is the most relevant MTF Institute programme for readers who want structured development across strategy, finance, operations, people leadership, technology and execution. Review the curriculum and terms against the DECIDE-3 gaps in your role. Occupational evidence can guide practice; a credential does not replace employer authorization or demonstrated results.



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