IS WORK OVER?

Automation index

How much of a Table official’s job can AI already do?

A scoresheet comes earlier. Clock, fouls and not wrecking the result do not.

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

Task comparison

Table official

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
Sheet, clock and the protocol.
Estimate

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

16%40%+6.4
Fouls, the warning and the one who argues.
Estimate

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

18%14%+2.5
Timeout, the scoreboard and not jumping it.
Estimate

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

16%28%+4.5
The referee, the table and not contradicting.
Estimate

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

16%22%+3.5
The crowd, the shove and keeping calm.
Estimate

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

18%18%+3.2
A clean result, and the sheet signed.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • scoresheets
  • clock
  • fouls
  • timeouts
  • scoreboard
  • the table
  • protocol
  • warnings

Sources for this job· O*NET 27-2023.00· ESCO/ISCO 3422

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

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