IS WORK OVER?

Automation index

How much of a Funeral director’s job can AI already do?

A form and an obituary come earlier. Collecting someone and looking after the family do not.

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

Task comparison

Funeral director

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
Paperwork, chapel, burial and cremation.
Estimate

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

16%40%+6.4
Collection, thanatopraxy and care of the body.
Estimate

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

18%12%+2.2
The family, the wake, and what is and is not possible.
Estimate

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

18%18%+3.2
Notice, flowers, hearse and the minute-by-minute of the rite.
Estimate

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

16%28%+4.5
Cemetery, times and suppliers.
Estimate

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

16%22%+3.5
Dignity, legal times and owning the service.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • arrange funerals
  • file death paperwork
  • collect the deceased
  • support the family
  • thanatopraxy
  • run the wake
  • arrange cremation
  • notices

Sources for this job· O*NET 39-4031.00· ESCO/ISCO 5163

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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