AUTOMATICALLY PRESENTING PRODUCTIVITY METRICS
For automatically presenting productivity metrics, a method calculates a current productivity pace for task codes, wherein each productivity pace is measured in output units per input units. The method predicts a needed productivity pace to complete the task codes. The method predicts a productivity delta comprising a difference in input units required to complete each task code and budgeted input units. The method automatically presents presenting productivity metrics with a greatest predicted productivity delta based on organization data, the productivity metrics comprising at least one of the current productivity pace, the needed productivity pace, and the productivity delta.
1 . A method comprising:
calculating, by use of a processor, a current productivity pace ( 211 ) for task codes ( 210 ), wherein each productivity pace is measured in output units ( 233 ) per input units ( 231 );
predicting a needed productivity pace ( 213 ) to complete each task code ( 210 );
predicting a productivity delta ( 215 ) comprising a difference in input units ( 231 ) required to complete each task code ( 210 ) and budgeted input units ( 227 B); and
automatically presenting productivity metrics ( 305 ) with a greatest predicted productivity delta ( 215 ) based on organization data ( 200 ), the productivity metrics ( 305 ) comprising at least one of the current productivity pace ( 211 ), the needed productivity pace ( 213 ), and the productivity delta ( 215 ).
2 . The method of claim 1 , wherein the productivity metrics ( 305 ) are presented for at least one of the task code ( 210 ), project data ( 205 ) comprising a plurality of task codes ( 210 ) and organization data ( 200 ).
3 . The method of claim 1 , wherein the productivity metrics ( 305 ) are presented on at least one electronic device ( 110 ).
4 . The method of claim 1 , wherein the current productivity pace ( 211 ) is calculated from tracking data ( 219 ) received from at least one electronic device ( 110 ).
5 . The method of claim 1 , wherein the productivity metrics ( 305 ) further comprise an efficiency metric ( 221 ) and tracking data ( 219 ) is per worker.
6 . The method of claim 1 , wherein the budget pace ( 217 ) is calculated from a same task code ( 210 ) from historical project data ( 205 ).
7 . The method of claim 1 , wherein input units ( 231 ) are man-hours.
8 . An apparatus comprising:
a processor executing code stored in a memory to perform:
calculating a current productivity pace ( 211 ) for task codes ( 210 ), wherein each productivity pace is measured in output units ( 233 ) per input units ( 231 );
predicting a needed productivity pace ( 213 ) to complete each task code ( 210 );
predicting a productivity delta ( 215 ) comprising a difference in input units ( 231 ) required to complete each task code ( 210 ) and budgeted input units ( 227 B); and
automatically presenting productivity metrics ( 305 ) with a greatest predicted productivity delta ( 215 ) based on organization data ( 200 ), the productivity metrics ( 305 ) comprising at least one of the current productivity pace ( 211 ), the needed productivity pace ( 213 ), and the productivity delta ( 215 ).
9 . The apparatus of claim 8 , wherein the productivity metrics ( 305 ) are presented for at least one of the task code ( 210 ), project data ( 205 ) comprising a plurality of task codes ( 210 ) and organization data ( 200 ).
10 . The apparatus of claim 8 , wherein the productivity metrics ( 305 ) are presented on at least one electronic device ( 110 ).
11 . The apparatus of claim 8 , wherein the current productivity pace ( 211 ) is calculated from tracking data ( 219 ) received from at least one electronic device ( 110 ).
12 . The apparatus of claim 8 , wherein the productivity metrics ( 305 ) further comprise an efficiency metric ( 221 ) and tracking data ( 219 ) is per worker.
13 . The apparatus of claim 8 , wherein the budget pace ( 217 ) is calculated from a OZ same task code ( 210 ) from historical project data ( 205 ).
14 . The apparatus of claim 8 , wherein input units ( 231 ) are man-hours.
15 . A computer program product comprising a non-transitory computer readable storage medium storing code executable by a processor to perform:
calculating a current productivity pace ( 211 ) for task codes ( 210 ), wherein each productivity pace is measured in output units ( 233 ) per input units ( 231 );
predicting a needed productivity pace ( 213 ) to complete each task code ( 210 );
predicting a productivity delta ( 215 ) comprising a difference in input units ( 231 ) required to complete each task code ( 210 ) and budgeted input units ( 227 B); and
automatically presenting productivity metrics ( 305 ) with a greatest predicted productivity delta ( 215 ) based on organization data ( 200 ), the productivity metrics ( 305 ) comprising at least one of the current productivity pace ( 211 ), the needed productivity pace ( 213 ), and the productivity delta ( 215 ).
16 . The computer program product of claim 15 , wherein the productivity metrics ( 305 ) are presented for at least one of the task code ( 210 ), project data ( 205 ) comprising a plurality of task codes ( 210 ) and organization data ( 200 ).
17 . The computer program product of claim 15 , wherein the productivity metrics ( 305 ) are presented on at least one electronic device ( 110 ).
18 . The computer program product of claim 15 , wherein the current productivity pace ( 211 ) is calculated from tracking data ( 219 ) received from at least one electronic device ( 110 ).
19 . The computer program product of claim 15 , wherein the productivity metrics ( 305 ) further comprise an efficiency metric ( 221 ) and tracking data ( 219 ) is per worker.
20 . The computer program product of claim 15 , wherein the budget pace ( 217 ) is calculated from a same task code ( 210 ) from historical project data ( 205 ).