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
IS WORK OVER?
Agile coach
24%
AI can already do 24% of this job.
#257 / 633
View rankingAgile 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.
| Task | Share | AI | Points |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 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
IS WORK OVER?
Job insertion technician
24%
#282 / 633
View rankingJob insertion technician
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.
| Task | Share | AI | Points |
|---|---|---|---|
Employer prospecting and the agreements.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Go with them to the job and the first day.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Follow-up, incidents and the one who quits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Reports, indicators and justifying the grant.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The hard candidate and the employer who pulls out.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they stay, and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- prospect employers
- place candidates
- follow up in post
- insertion agreements
- justify grants
- job accompaniment
- workplace incidents
- insertion indicators
Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2423