IS WORK OVER?

Automation index

How much of a Product owner’s job can AI already do?

A backlog and a user story write fast. Telling engineering no, and a customer yes, do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Product owner

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Write stories, criteria and backlog.
Estimate

No public source provides a precise figure. This is our estimate.

22%50%+11
Maps, roadmaps and release notes.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Refine with engineering and design.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Talk to users and stakeholders.
Estimate

No public source provides a precise figure. This is our estimate.

16%15%+2.4
Prioritise, cut scope and say no.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Accept the increment and own the value.
Estimate

No public source provides a precise figure. This is our estimate.

14%16%+2.2
Total100%27%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • Write stories, criteria and backlog
  • Maps, roadmaps and release notes
  • Refine with engineering and design
  • Talk to users and stakeholders
  • Prioritise, cut scope and say no
  • Accept the increment and own the value
  • product owner
  • po agil

Sources for this job· O*NET 15-1199.09· ESCO/ISCO 2519

Last-mile manager

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%26%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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