IS WORK OVER?

Automation index

How much of a Revenue manager’s job can AI already do?

A pickup comes earlier. Raising the rate without emptying the hotel do not.

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

Task comparison

Revenue manager

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
Pickup, competitors and the rate.
Estimate

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

18%48%+8.6
Channels, overbooking and the one left on the street.
Estimate

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

16%40%+6.4
Events, the holiday and not sleeping on the price.
Estimate

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

16%22%+3.5
Report, management and the staff cut.
Estimate

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

16%28%+4.5
Sales, the group and not giving the room away.
Estimate

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

18%14%+2.5
A high rate and a full house, not empty.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • pickup
  • rates
  • channels
  • overbooking
  • holidays
  • groups
  • competitors
  • rooms

Sources for this job· O*NET 11-9081.00· ESCO/ISCO 1411

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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