IS WORK OVER?

Automation index

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

A letter and a CRM come earlier. Asking for the money in person and getting it again do not.

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

Task comparison

Fundraiser

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
Campaigns, CRM and the donor letter.
Estimate

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

16%48%+7.7
The meeting, the no, and asking again.
Estimate

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

18%14%+2.5
Events, legacies and the member base.
Estimate

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

16%36%+5.8
Transparency, the annual report and what you can say.
Estimate

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

16%28%+4.5
The major donor, the board and the conflict of interest.
Estimate

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

18%18%+3.2
That they give again, and not spending more than comes in.
Estimate

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

16%12%+1.9
Total100%26%

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

Skills and activities

  • raise funds
  • donor campaigns
  • member CRM
  • ask for legacies
  • run events
  • transparency report
  • major donors
  • keep members

Sources for this job· O*NET 13-1131.00· ESCO/ISCO 2432

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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