IS WORK OVER?

Automation index

How much of a Quality engineer’s job can AI already do?

An FMEA and an 8D come earlier. Stopping the supplier and deciding if the batch travels do not.

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

Task comparison

Quality engineer

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
FMEA, control plan and the limits.
Estimate

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

18%48%+8.6
8D, claims and the supplier.
Estimate

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

16%40%+6.4
Audit, IATF and the awkward finding.
Estimate

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

16%22%+3.5
The line, the defect and stop or not.
Estimate

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

18%18%+3.2
APQP, PPAP and the customer launch.
Estimate

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

16%28%+4.5
Release with judgement, and not hiding the PPM.
Estimate

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

16%14%+2.2
Total100%28%

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

Skills and activities

  • FMEA
  • 8D
  • control plan
  • IATF
  • PPAP
  • APQP
  • supplier claims
  • release batches

Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141

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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