IS WORK OVER?

Automation index

How much of a Volunteer coordinator’s job can AI already do?

A spreadsheet rota comes earlier. Getting them to come, stay, and do no harm, do not.

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

Task comparison

Volunteer coordinator

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
Recruitment, rotas and the volunteer register.
Estimate

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

16%44%+7
Train, support and the one who arrives lost.
Estimate

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

18%16%+2.9
Insurance, agreements and the volunteering act.
Estimate

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

16%32%+5.1
Recognise, keep them and the one who burns out.
Estimate

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

16%28%+4.5
The clash between volunteer and staff.
Estimate

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

18%18%+3.2
That they add, and do not replace paid work.
Estimate

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

16%14%+2.2
Total100%25%

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

Skills and activities

  • recruit volunteers
  • make rotas
  • train volunteers
  • volunteering law
  • retain volunteers
  • volunteer insurance
  • staff conflict
  • volunteer register

Sources for this job· O*NET 11-9151.00· ESCO/ISCO 1344

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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