IS WORK OVER?

Automation index

How much of a Executive housekeeper’s job can AI already do?

A roster and a checklist come earlier. A hundred rooms out on time does not.

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

Task comparison

Executive housekeeper

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
Roster, checklists and linen logs.
Estimate

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

18%40%+7.2
Rounds, standards and VIP rooms.
Estimate

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

18%14%+2.5
Room team, shifts and conflict.
Estimate

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

16%22%+3.5
Front desk, maintenance and complaints.
Estimate

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

16%18%+2.9
Inventory, minibar and lost-and-found.
Estimate

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

16%16%+2.6
Not handing a dirty room to a guest.
Estimate

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

16%14%+2.2
Total100%21%

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

Skills and activities

  • Roster, checklists and linen logs
  • Rounds, standards and VIP rooms
  • Room team, shifts and conflict
  • Front desk, maintenance and complaints
  • Inventory, minibar and lost-and-found
  • Not handing a dirty room to a guest
  • gobernanta
  • ama de llaves
  • executive housekeeper

Sources for this job· O*NET 37-1011.00· ESCO/ISCO 5151

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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