Systems and methods for generating prioritization models and predicting workflow prioritizations
Systems and methods for generating prioritization models and predicting workflow prioritizations are disclosed. Exemplary implementations may: manage environment state information maintaining a collaboration environment; effectuate presentation of a series of questions via a first client computing platform associated with the first user; receive user input from the first client computing platform; generate a first prioritization model based on the response information; and determine one or more priorities for the first user based on the first prioritization model such that a primary first unit of work within the first set of units of work is determined to be a higher priority than a secondary first unit of work within the first set of units of work.
1. A system configured to implement a prioritization model to generate a graphical user interface, the system comprising:
one or more hardware processors configured by machine-readable instructions to:
obtain access to a trained prioritization model, the trained prioritization model being generated by training a prioritization model based on responses to a prompted series of questions so that the prioritization model is trained in relation to the responses, the prompted series of questions being directed to how a user works or prioritizes work within a collaboration environment;
determine, based on output of the trained prioritization model, one or more priorities for work assigned to the user so that some of the work assigned to the user is determined to have priority over other work; and
generate information defining a graphical user interface configured to display an indication of the one or more priorities determined for the work assigned to the user.
2. The system of claim 1 , wherein the one or more hardware processors are further configured by the machine-readable instructions to:
effectuate communication of the information defining the graphical user interface to a computing platform associated with the user so that the computing platform presents the graphical user interface.
3. The system of claim 1 , wherein the prompted series of questions is presented in a dedicated model training graphical user interface.
4. The system of claim 1 , wherein the one or more hardware processors are further configured by the machine-readable instructions to:
manage environment state information maintaining the collaboration environment, the environment state information including values of user parameters and values of work unit parameters, wherein the values of the user parameters are organized in a user record corresponding to the user interacting with and viewing the collaboration environment and the values of the work unit parameters are organized in work unit records corresponding to the work assigned to the user; and
wherein the prioritization model is trained based on the responses, the user record, and the work unit records.
5. The system of claim 1 , wherein the one or more hardware processors are further configured by the machine-readable instructions to train the prioritization model using a neural network to generate the trained prioritization model.
6. The system of claim 4 , wherein the user record and/or the work unit records indicate previous actions of the user within the collaboration environment.
7. The system of claim 1 , wherein the indication of the one or more priorities includes a ranked list of the work assigned to the user.
8. The system of claim 1 , wherein the one or more hardware processors are further configured by the machine-readable instructions to:
receive response information conveying the responses to the prompted series of questions by the user; and
receive prioritization information, the prioritization information characterizing a portion of the work assigned to the user that should be prioritized.
9. The system of claim 8 , wherein the prioritization model is further trained based on the prioritization information.
10. The system of claim 1 , wherein the one or more hardware processors are further configured by the machine-readable instructions to:
obtain a request to export the trained prioritization model; and
export the trained prioritization model.
11. A method to implement a prioritization model to generate a graphical user interface, the method comprising:
obtaining access to a trained prioritization model, the trained prioritization model being generated by training a prioritization model based on responses to a prompted series of questions so that the prioritization model is trained in relation to the responses, the prompted series of questions being directed to how a user works or prioritizes work within a collaboration environment;
determining, based on output of the trained prioritization model, one or more priorities for work assigned to the user so that some of the work assigned to the user is determined to have priority over other work; and
generating information defining a graphical user interface configured to display an indication of the one or more priorities determined for the work assigned to the user.
12. The method of claim 11 , further comprising:
effectuating communication of the information defining the graphical user interface to a computing platform associated with the user so that the computing platform presents the graphical user interface.
13. The method of claim 11 , wherein the prompted series of questions is presented in a dedicated model training graphical user interface.
14. The method of claim 11 , further comprising:
managing environment state information maintaining the collaboration environment, the environment state information including values of user parameters and values of work unit parameters, wherein the values of the user parameters are organized in a user record corresponding to the user interacting with and viewing the collaboration environment and the values of the work unit parameters are organized in work unit records corresponding to the work assigned to the user; and
wherein the prioritization model is trained based on the responses, the user record, and the work unit records.
15. The method of claim 11 , further comprising training the prioritization model using a neural network to generate the trained prioritization model.
16. The method of claim 14 , wherein the user record and/or the work unit records indicate previous actions of the user within the collaboration environment.
17. The method of claim 11 , wherein the indication of the one or more priorities includes a ranked list of the work assigned to the user.
18. The method of claim 11 , further comprising:
receiving response information conveying the responses to the prompted series of questions by the user; and
receiving prioritization information, the prioritization information characterizing a portion of the work assigned to the user that should be prioritized.
19. The method of claim 18 , wherein the prioritization model is further trained based on the prioritization information.
20. The method of claim 11 , further comprising:
obtaining a request to export the trained prioritization model; and
exporting the trained prioritization model.