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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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