Examples
Examples
Try the starting example
- JSON Requisitions [ID,need score,vacancy-cost score,effort score]
- [["A",4,5,2],["B",5,2,4]]
- Weights [need,vacancy-cost,effort penalty]
- 0.5,0.3,0.2
- Priority score ranking
- [["A",3.1],["B",2.3]]
Try another scenario
- JSON Requisitions [ID,need score,vacancy-cost score,effort score]
- [["A",4,5,2],["B",5,2,4]]
- Weights [need,vacancy-cost,effort penalty]
- 0.2,0.6,0.2
- Priority score ranking
- [["A",3.4],["B",1.4]]
Calculation method
Calculation method
Priority score ranking
J(sorted([[r[0],r[1]*b[0]+r[2]*b[1]-r[3]*b[2]] for r in a],key=lambda r:(-r[1],r[0])))
Symbols and units
- a
- JSON Requisitions [ID,need score,vacancy-cost score,effort score]
- b
- Weights [need,vacancy-cost,effort penalty]
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- All scores and weights supplied; effort penalizes priority. Scales must be intentionally comparable. This is a transparent arithmetic ranking, not an objective hiring need. Supported limits: All numeric inputs must be finite. Only the explicitly described mathematical scenario is supported.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.