Automation index
How much of a Victim support worker’s job can AI already do?
A protocol and an appointment come earlier. Being there when they give evidence, and them not being left alone, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Victim support worker
23%
AI can already do 23% of this job.
#313 / 633
View rankingVictim support worker
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 |
|---|---|---|---|
Reception, file and the map of services.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Go with them to give evidence, the doctor and court.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Coordinate police, prosecution and services.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Reports, aid and the pathway.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
The crisis, the call and not invading.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not left alone, and the secrecy of what they tell.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- receive victims
- accompany to evidence
- coordinate with prosecutors
- victim aid
- crisis
- protection pathway
- court with the victim
- professional secrecy
Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2635
IS WORK OVER?
Statistician
26%
#201 / 633
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120