IS WORK OVER?

Automation index

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

A cabin diary comes earlier. The house smelling right without double-booking the massage do not.

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

Task comparison

Spa 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
Diary, cabins and the staff.
Estimate

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

18%48%+8.6
Client, the complaint and the one who is late.
Estimate

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

16%40%+6.4
Protocols, hygiene and the product.
Estimate

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

16%22%+3.5
Occupancy, the hotel and not giving the circuit away.
Estimate

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

16%28%+4.5
The inspection, insurance and not hiding the incident.
Estimate

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

18%14%+2.5
Smell right, and no double-booked massage.
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

  • cabin diary
  • hygiene protocols
  • the circuit
  • spa occupancy
  • spa staff
  • products
  • complaints
  • massages

Sources for this job· O*NET 11-9072.00· ESCO/ISCO 1431

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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