IS WORK OVER?

Automation index

How much of a Prison educator’s job can AI already do?

A wing pathway comes earlier. Being in the yard so the workshop does not go sideways do not.

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

Task comparison

Prison educator

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
Programmes, reports and the treatment board.
Estimate

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

16%36%+5.8
Wing, yard and the fight that blows up.
Estimate

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

18%12%+2.2
Workshop, studies and the one who shows up.
Estimate

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

16%28%+4.5
Family, leave and the note to the lawyer.
Estimate

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

16%22%+3.5
The hard inmate and not losing authority.
Estimate

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

18%18%+3.2
The bond inside, and it not being paper.
Estimate

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

16%14%+2.2
Total100%21%

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

Skills and activities

  • treatment programmes
  • prison workshops
  • the yard
  • treatment board
  • leave reports
  • the wing
  • prison study
  • yard conflict

Sources for this job· O*NET 21-1092.00· ESCO/ISCO 2635

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

Analyse my job

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