Automation index
How much of a Agile coach’s job can AI already do?
A board and a stock retro come earlier. The team stopping the fake sprint do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Agile coach
24%
AI can already do 24% of this job.
#257 / 623
View rankingAgile 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.
| Task | Share | AI | Points |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 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
IS WORK OVER?
Barista
28%
#84 / 623
View rankingBarista
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.
| Task | Share | AI | Points |
|---|---|---|---|
Prepare or serve hot or cold beverages, such as coffee, espresso drinks, blended coffees, or teas.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 28% | +2.5 |
Receive and process customer payments.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Take customer orders and convey them to other employees for preparation.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Describe menu items to customers, or suggest products that might appeal to them.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Serve prepared foods, such as muffins, biscotti, or bagels.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Prepare or serve menu items, such as sandwiches or salads.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Clean or sanitize work areas, utensils, or equipment.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Clean service or seating areas.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 42% | 28% | +11.8 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- comply with food safety and hygiene
- educate customers on tea varieties
- maintain relationship with customers
- greet guests
- handle customer complaints
- upsell products
- handover the service area
- set up the coffee area
- maintain customer service
- work in a hospitality team
Sources for this job· O*NET 35-3023.01· ESCO/ISCO 5132