Engineering Activity Orientation Assessment Test

In 5 minutes, learn which engineering work style fits you best across research, design, production, or management. Get clear results to guide career choices, project roles, and team alignment.
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Questions245 minutes
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08:30
October 2, 2025
October 2, 2025
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How the Scales are Structured

example score
7/12
Organizational Skills (OS)
Measures preference and skill for organizing, coordinating, and leading engineering work and decisions.
Low organizational focus
Moderate organizational focus
High organizational focus
07Low organizational focus8Moderate organizational focus912High organizational focus
A score of 7 indicates a lower orientation toward managing and coordinating others, with greater comfort in roles that require less formal oversight responsibility.
example score
4/12
Production (P)
Measures preference for industrial engineering activity focused on implementing technical solutions and organizing production processes.
Lower orientation
Moderate orientation
Higher orientation
07Lower orientation8Moderate orientation912Higher orientation
A score of 4 indicates a lower inclination toward industrial activities, suggesting less interest in hands-on implementation and production organization compared with other engineering directions.
example score
2/12
Design and Development (DaD)
Measures interest in designing and developing new technical solutions and a tendency toward creative engineering problem-solving.
Low
High
08Low912High
A score of 2 falls in the Low range, suggesting limited preference for design and engineering tasks compared with other engineering activity types.
example score
9/12
Research (R)
Measures preference for research-oriented engineering work such as seeking new knowledge, experimenting, and analyzing information.
Low research focus
High research focus
08Low research focus912High research focus
A score of 9 indicates a strong inclination toward research activities, with motivation for investigation, experimentation, and analytical problem-solving.
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DATA-BASED USER COHORTS

Who Usually Takes This Test?

Engineering students choosing track
41%OF USERS
Students and early grads use it to see whether they’re more drawn to research, design, production, or management before picking electives, internships, or a specialization.
Engineers planning next role
34%OF USERS
Working engineers take it to confirm which type of tasks energize them most and to guide a move into R&D, development, production, or leadership.
Managers staffing project teams
25%OF USERS
Team leads and HR specialists use it to assign people to the kind of engineering work where they’re likely to perform best and stay motivated.
BASED ON AGGREGATED, ANONYMIZED DATA FROM TENS OF THOUSANDS OF FREUDLY USERS.
RESULTS YOU CAN ACTUALLY USE

What You’ll See After You Finish the Test

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Used in 52+ countries
Benchmarking

See How You Compare

Once you finish the test, your results will be compared with real-world data from people in your country.
Below is a preview of the benchmarks we use to place your score in context.
Organizational (O)
Average
4.1
Normal range
2.75.6
min.
0
max.
12
majority
This curve shows how scores are typically distributed.
Once you complete the test, your result will appear here so you can see where you land.
Industrial (I)
Average
5.8
Normal range
4.17.6
min.
0
max.
12
majority
This curve shows how scores are typically distributed.
Once you complete the test, your result will appear here so you can see where you land.
Design and Engineering (DaE)
Average
5.7
Normal range
47.3
min.
0
max.
12
majority
This curve shows how scores are typically distributed.
Once you complete the test, your result will appear here so you can see where you land.
Research (R)
Average
7.7
Normal range
5.99.5
min.
0
max.
12
majority
This curve shows how scores are typically distributed.
Once you complete the test, your result will appear here so you can see where you land.
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CLEAR ANSWERS TO COMMON QUESTIONS

Frequently Asked Questions

What does this assessment measure?
It measures preference across four engineering activity areas: research, design and development, production, and management. It indicates which types of tasks are most motivating and best aligned with typical strengths.
How long does it take, and how many items are included?
Estimated completion time is about 5 minutes. The assessment includes 24 items.
What type of questions are presented?
Items describe specialized work situations and tasks common in engineering roles. Responses indicate which activities feel most appealing or suitable.
How should responses be selected?
Select the option that best matches the preferred way of working in the situation described. Use an overall impression and avoid spending excessive time on any single item.
How should results be used?
Results support role fit, project assignment, and career counseling by clarifying preferred activity types. They describe professional interests and should be interpreted alongside skills, experience, and job requirements.
WHAT THE TEST MEASURES
About This Assessment
Focus on type of engineering activity Test

Engineering Activity Orientation Assessment Test - Symptoms and Signs

This brief self-report measure is designed to clarify preferred domains of engineering work. The Engineering Activity Orientation Assessment is intended to support discussion of occupational interests by identifying relative attraction to common areas of engineering activity.

The questionnaire includes 24 items and typically takes about 5 minutes to complete. Items describe work-related situations and tasks, and responses are summarized to reflect stronger versus weaker orientation across multiple activity domains. John L. Holland is cited as the author.

Results from the Engineering Activity Orientation Assessment may be used in career counseling, educational planning, and team role discussions to inform conversations about fit between an individual’s interests and the demands of different engineering functions. Scores should be interpreted in context with relevant background information and other assessment data.

Author: John L. Holland
Literature: Eccles, J. S., & Wigfield, A. Motivational beliefs, values, and goals. Annual Review of Psychology. 2002.
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