IS WORK OVER?

Automation index

How much of a Agile coach’s job can AI already do?

A board and a stock retro come earlier. The team stopping the fake sprint do not.

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

Task comparison

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

Economist

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
Clean data, estimate and produce tables.
Estimate

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

22%52%+11.4
Draft notes, briefs and a first paper.
Estimate

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

18%45%+8.1
Choose model, assumptions and robustness.
Estimate

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

16%22%+3.5
Present to a client, ministry or board.
Estimate

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

16%15%+2.4
Debate, peer-review and defend the numbers.
Estimate

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

14%12%+1.7
Read the political context and data quality.
Estimate

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

14%18%+2.5
Total100%30%

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

Skills and activities

  • Clean data, estimate and produce tables
  • Draft notes, briefs and a first paper
  • Choose model, assumptions and robustness
  • Present to a client, ministry or board
  • Debate, peer-review and defend the numbers
  • economista
  • economist

Sources for this job· O*NET 19-3011.00· ESCO/ISCO 2631

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