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Technology
Product Owner
Based on 10 assessments · 1 from real users
22%
Low risk
Average realistic automation risk across all Product Owner profiles in the dataset.
Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context.
Score spread
Distribution across 10 profiles.
Middle half of Product Owners score between 21% and 25%.
0%
50%
100%
Task breakdown by work type
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer input, real-world output — needs someone to act on it, not just software.
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Product Owner, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
Writing and refining user stories, acceptance criteria, and product requirements based on stakeholder input and market research
deep expertise
social element
26%
AD
11%
Communicating product vision, roadmap, and progress to executives, marketing, sales, and other departments
deep expertise
social core
19%
DA
0%
Prioritizing backlog items and making trade-off decisions between competing features, technical debt, and business goals
deep expertise
social element
19%
DD
28%
Conducting one-on-one conversations with stakeholders, customers, and team members to gather feedback and validate assumptions
deep expertise
social core
18%
DA
4%
Attending sprint planning, backlog refinement, and sprint review meetings to align the team on priorities and upcoming work
deep expertise
social core
13%
AA
0%
Reviewing completed work, testing features, and providing feedback to the development team before release
2%
AD
24%
Analyzing user data, metrics, and analytics to inform product decisions and identify areas for improvement
1%
DD
70%
Prioritizing backlog items and making trade-off decisions between competing features, technical debt, and business goals
deep expertise
social element
31%
DD
30%
Attending sprint planning, backlog refinement, and sprint review meetings to align the team on priorities and upcoming work
deep expertise
social core
17%
AA
0%
Reviewing completed work, testing features, and providing feedback to the development team before release
13%
AD
30%
Writing and refining user stories, acceptance criteria, and product requirements based on stakeholder input and market research
deep expertise
social element
13%
AD
18%
Conducting one-on-one conversations with stakeholders, customers, and team members to gather feedback and validate assumptions
deep expertise
social core
9%
DA
8%
Analyzing user data, metrics, and analytics to inform product decisions and identify areas for improvement
8%
DD
66%
Communicating product vision, roadmap, and progress to executives, marketing, sales, and other departments
some context needed
social core
6%
DA
14%
Reviewing completed work, testing features, and providing feedback to the development team before release
24%
AD
25%
Prioritizing backlog items and making trade-off decisions between competing features, technical debt, and business goals
19%
DD
46%
Analyzing user data, metrics, and analytics to inform product decisions and identify areas for improvement
18%
DD
58%
Writing and refining user stories, acceptance criteria, and product requirements based on stakeholder input and market research
12%
AD
30%
Attending sprint planning, backlog refinement, and sprint review meetings to align the team on priorities and upcoming work
some context needed
social core
12%
AA
3%
Conducting one-on-one conversations with stakeholders, customers, and team members to gather feedback and validate assumptions
deep expertise
social core
10%
DA
1%
Communicating product vision, roadmap, and progress to executives, marketing, sales, and other departments
deep expertise
social core
1%
DA
3%
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