DESC:FIELD
The present disclosure relates in general to systems for performance assessment.
DEFINITION
The expression ‘project work’ used in the context of this disclosure refers to, but is not limited to, the work implemented by the units related to the project.
The expression ‘non-project work’ used in the context of this disclosure refers to, but is not limited to, corporate social responsibility activities, volunteering, research & development activity, proof of concept activities, cultural activates, sales opportunities etc. to provide the non-operational activity rating.
These definitions are in addition to those expressed in the art.
BACKGROUND
An organization monitors the performance of the units in order to reward good performers, and provide training to units to improve their performance.
Generally, work performance assessment procedure is paper-based, cumbersome, resource intensive, and time consuming. Most organizations adopt conventional performance assessing methods, such as a four-evaluation method, a three-evaluation method, and the like. The four-evaluation method includes self-evaluation, mutual evaluation, manager evaluation, and public evaluation. The three-evaluation method includes self-evaluation, mutual evaluation, and manager evaluation. As these methods largely depend on people's subjective judgments, these methods do not provide good efficacious results.
There is, therefore a need for a computer implemented system and method for work performance assessment of units that alleviates the above mentioned drawbacks.
OBJECTS
Some of the objects of the present disclosure, which at least one embodiment herein satisfies, are as follows:
An object of the present disclosure is to provide a system which automates goal tracking and unit performance assessment.
Another object of the present disclosure is to provide a system which identifies unit interests and skill set.
Still another object of the present disclosure to provide a system which provides notification to units about one or more impending goals and tracking unit compliance with respect to the completion of goals.
Yet another object of the present disclosure is to provide a system which identifies top talent.
Another object of the present disclosure to provide a system which identifies unit’s skills and interests, and recommend skill upgrade trainings to the unit.
Other objects and advantages of the present disclosure will be more apparent from the following description, which is not intended to limit the scope of the present disclosure.
SUMMARY
The present disclosure envisages a computer implemented system and method for work performance assessment of units. The system comprises a repository, a goal setting module, a work analyzer, and a performance assessment module.
The repository includes:
• a first look up table having a plurality of pre-determined goals and a predefined goal completion time corresponding to each of the goals;
• a second look up table having a list of units and corresponding details of project and non-project work completed by each of the units;
• a pre-determined set of analysis parameters;
• a prototype of project work completed in time;
• a set of pre-determined rating rules; and
• past non-project work undertaken by each of the units.
The goal setting module is configured to fetch the first look up table and the second look up table from the repository, and is further configured to define a set of goals from the plurality of goals by evaluating the details of project work completed by each of the unit and defining a list of goals for each of the unit.
The goal setting module includes a memory, an evaluator, and a selector.
The memory is configured to store a pre-determined set of evaluation rules.

The evaluator is configured to cooperate with the memory to evaluate the details of project work completed by each of the units based on the evaluation rules and generate an evaluation result, defining the list of goals.

The selector is configured to cooperate with the repository, and is further configured to select the pre-determined goals from the first look up table for each of the units, based on the list of goals.

The work analyzer is configured to fetch the defined goals from the goal setting module and fetch the pre-determined set of analysis parameters, the prototype of work completed in time, the set of pre-determined rating rules, and the past non-project work of each of the units from the repository. The work analyzer is configured to generate at least one performance ratings for each of the pre-determined set of analysis parameters, based on the non-project and project work completed by each of the units and the defined goals.

The work analyzer includes a quality analyzer, a quantity analyzer, a knowledge analyzer, a productivity analyzer, and a non-project activity analyzer.

The quality analyzer is configured to cooperate with the repository to compare the details of work completed by each of the units with the prototype work using a first comparator and generate a first comparison result. The quality analyzer is further configured to analyze quality of the work based on the first comparison result and provide a quality rating based on the analysis and the pre-determined rating rules.

The quantity analyzer is configured to cooperate with the repository to compare the details of work completed by each of the units with the prototype work using a second comparator and generate a second comparison result. The quantity analyzer is further configured to analyze quantity of the work, based on the second comparison result and provide a quantity rating based on the analysis and the pre-determined rating rules.

The knowledge analyzer is configured to cooperate with the repository to compare the details of work completed by each of the units with the prototype work using a third comparator, and generate a third comparison result. The knowledge analyzer is further configured to analyze knowledge of the unit based on the third comparison result and provide a knowledge rating based on the analysis and the pre-determined rating rules.
The productivity analyzer is configured to cooperate with the goal setting module and the repository to track the work completed by each of the units for the set of goals. The productivity analyzer is further configured to identify a completion percentage based on the details of work completed by each of the units and provide a productivity rating based on the completion percentage and the pre-determined rating rules.
The non-project activity analyzer is configured to cooperate with the repository. The non-project activity analyzer is further configured to compare the non-project work completed by each of the units with the past non-project work undertaken by each of the unit using a fourth comparator and generate a fourth comparison result. The non-project activity analyzer is configured to provide a non-project activity rating based on the fourth comparison result and the pre-determined rating rules.
The performance assessment module is configured to fetch each of the performance ratings from the work analyzer to assess performance of each of the units based on each of the performance ratings.
The performance assessment module includes an interest and skill identifier, a recommendation module, and a performance aggregation module.
The interest and skill identifier is configured to cooperate with the work analyzer to identify interests and skills of each of the units based on the quality rating and the knowledge rating.
The recommendation module is configured to cooperate with the work analyzer to recommend skill upgrade training for each set of goals, based on the quality rating, the quantity rating, the knowledge rating and the productivity rating.
The performance aggregation module is configured to cooperate with the work analyzer to provide aggregated work performance rating based on the quality rating, the quantity rating, the knowledge rating, the productivity rating and the non-project activity rating, and is further configured to identify a top talent based on the work performance rating.
In an embodiment, the system comprises an unit assistant bot configured to cooperate with the work analyzer to display work performance ratings of each of the unit, and further configured to self-learn unit’s interests and skill set, suggest upgrade trainings, send notifications to each of the unit for the predefined goal completion time corresponding to each of the set goals, and provide daily goals notification to the units.
In an embodiment, the system employs Natural Language Processing (NLP).
In another embodiment, the analysis parameters are selected from the group consisting of quality, quantity, knowledge, productivity and non-project activities.
In yet another embodiment, the non-project work is selected from the group consisting of corporate social responsibility activities, volunteering, research & development activity, proof of concept activities, cultural activity, and sales opportunities.
The goal setting module, the work analyzer and the performance assessment module are implemented using one or more processor(s).
The present disclosure envisages a method for work performance assessment of units.
BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWING
A computer implemented system and method for work performance assessment of units of the present disclosure will now be described with the help of the accompanying drawings, in which:
Figure 1 illustrates a block diagram of a computer implemented system for work performance assessment of units; and
Figures 2a and 2b illustrate a flowchart of a method for work performance assessment of units.
LIST OF REFERENCE NUMERALS
100 System
102 Repository
104 Goal setting module
106 Work analyzer
108 Performance assessment module
110 Quality analyzer
112 Quantity analyzer
114 Knowledge analyzer
116 Productivity analyzer
118 Non-project activity analyzer
120 First comparator
122 Second comparator
124 Third comparator
126 Fourth comparator
128 Interest and skill identifier
130 Recommendation module
132 Performance aggregation module
134 Memory
136 Evaluator
138 Selector
140 Unit assistant bot

DETAILED DESCRIPTION
Embodiments, of the present disclosure, will now be described with reference to the accompanying drawing.
Embodiments are provided so as to thoroughly and fully convey the scope of the present disclosure to the person skilled in the art. Numerous details are set forth, relating to specific components, and methods, to provide a complete understanding of embodiments of the present disclosure. It will be apparent to the person skilled in the art that the details provided in the embodiments should not be construed to limit the scope of the present disclosure. In some embodiments, well-known processes, well-known apparatus structures, and well-known techniques are not described in detail.
The terminology used, in the present disclosure, is only for the purpose of explaining a particular embodiment and such terminology shall not be considered to limit the scope of the present disclosure. As used in the present disclosure, the forms "a,” "an," and "the" may be intended to include the plural forms as well, unless the context clearly suggests otherwise. The terms "comprises," "comprising," “including,” and “having,” are open ended transitional phrases and therefore specify the presence of stated features, steps, operations, elements, modules, units and/or components, but do not forbid the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. The particular order of steps disclosed in the method and process of the present disclosure is not to be construed as necessarily requiring their performance as described or illustrated. It is also to be understood that additional or alternative steps may be employed.
The terms first, second, third, etc., should not be construed to limit the scope of the present disclosure as the aforementioned terms may be only used to distinguish one element, component, or section from another component, or section. Terms such as first, second, third etc., when used herein do not imply a specific sequence or order unless clearly suggested by the present disclosure.
A computer implemented system and method for work performance assessment of units of the present disclosure is described with reference to Figure 1 through Figure 2b.
Figure 1 illustrates a block diagram of a computer implemented system for work performance assessment of units. The system (100) comprises a repository (102), a goal setting module (104), a work analyzer (106), and a performance assessment module (108).
The repository (102) includes:
• a first look up table having a plurality of pre-determined goals and a predefined goal completion time corresponding to each of the goals;
• a second look up table having a list of units and corresponding details of project and non-project work completed by each of the units;
• a pre-determined set of analysis parameters;
• a prototype of project work completed in time;
• a set of pre-determined rating rules; and
• past non-project work undertaken by each of the units.

In an embodiment, the unit refers to, but is not limited to, a human being or a robot.
The goal setting module (104) is configured to fetch the first look up table and the second look up table from the repository (102), and is further configured to define a set of goals from the plurality of goals by evaluating the details of project work completed by each of the unit and defining a list of goals for each of the unit.
The goal setting module (104) includes a memory (134), an evaluator (136), and a selector (138).
The memory (134) is configured to store a pre-determined set of evaluation rules.

The evaluator (136) is configured to cooperate with the memory (134) to evaluate the details of project work completed by each of the units based on the evaluation rules and generate an evaluation result defining a list of goals.

The selector (138) is configured to cooperate with the repository (102), and is further configured to select the pre-determined goals from the first look up table for each of the units, based on the list of goals.

In an embodiment, a senior unit/administrator can define a set of goals for each of the units.

The work analyzer (106) is configured to fetch the defined goals from the goal setting module (104) and fetch the pre-determined set of analysis parameters, the prototype of work completed in time, the set of pre-determined rating rules, and the past non-project work of each of the units from the repository (102). The work analyzer (106) is configured to generate at least one performance ratings for each of the pre-determined set of analysis parameters, based on the non-project and project work completed by each of the units and the defined goals.

The work analyzer (106) includes a quality analyzer (110), a quantity analyzer (112), a knowledge analyzer (114), a productivity analyzer (116), and a non-project activity analyzer (118).

The quality analyzer (110) is configured to cooperate with the repository (102) to compare the details of work completed by each of the units with the prototype work using a first comparator (120) and generate a first comparison result. The quality analyzer (110) is further configured to analyze quality of the work based on the first comparison result and provide a quality rating based on the analysis and the pre-determined rating rules. In an embodiment, the quality analyzer (110) provides a quality rating in between 1-10. In an embodiment, the quality analyzer (110) is configured to analyze the error percentage, work defects, accuracy of work, reliability of work, and consistency.

The quantity analyzer (112) is configured to cooperate with the repository (102) to compare the details of work completed by each of the units with the prototype work using a second comparator (122) and generate a second comparison result. The quantity analyzer (112) is further configured to analyze quantity of the work, based on the second comparison result and provide a quantity rating based on the analysis and the pre-determined rating rules. In an embodiment, the quantity analyzer (112) provides a quantity rating in between 1-10. In another embodiment, the quantity analyzer (112) is configured to analyze the sale numbers, unit produced, and percentage of work done.

The knowledge analyzer (114) is configured to cooperate with the repository (102) to compare the details of work completed by each of the units with the prototype work using a third comparator (124), and generate a third comparison result. The knowledge analyzer (114) is further configured to analyze knowledge of the unit based on the third comparison result and provide a knowledge rating based on the analysis and the pre-determined rating rules. In an embodiment, the knowledge analyzer (114) provides a knowledge rating in between 1-10. In another embodiment, the knowledge analyzer (114) is configured to analyze the technology used by the unit, implementation of concepts, and depth of work to analyze the knowledge of the unit.

The productivity analyzer (116) is configured to cooperate with the goal setting module (104) and the repository (102) to track the work completed by each of the units for the set of goals. The productivity analyzer (116) is further configured to identify a completion percentage based on the details of work completed by each of the units and provide a productivity rating based on the completion percentage and the pre-determined rating rules. In an embodiment, the productivity analyzer (116) provides a productivity rating in between 1-10.

The non-project activity analyzer (118) is configured to cooperate with the repository (102). The non-project activity analyzer (118) is further configured to compare the non-project work completed by each of the units with the past non-project work undertaken by each of the unit using a fourth comparator (126) and generate a fourth comparison result. The non-project activity analyzer (118) is configured to provide a non-project activity rating based on the fourth comparison result and the pre-determined rating rules. In an embodiment, the non-project activity analyzer (118) provides a non-project activity rating in between 1-10.
The performance assessment module (108) is configured to fetch each of the performance ratings from the work analyzer (106) to assess performance of each of the units based on each of the performance ratings. The performance assessment module (108) includes an interest and skill identifier (128), a recommendation module (130), and a performance aggregation module (132).
The interest and skill identifier (128) is configured to cooperate with the work analyzer (106) to identify interests and skills of each of the units based on the quality rating and the knowledge rating.
The recommendation module (130) is configured to cooperate the work analyzer (106) to recommend skill upgrade training for each set of goals, based on the quality rating, the quantity rating, the knowledge rating and the productivity rating.
The performance aggregation module (132) is configured to cooperate with the work analyzer (106) to provide aggregated work performance rating based on the quality rating, the quantity rating, the knowledge rating, the productivity rating and the non-project activity rating, and is further configured to identify a top talent based on the work performance rating.
In an embodiment, the system (100) comprises an unit assistant bot (140) configured to cooperate with the work analyzer (106) to display work performance ratings of each of the unit, and further configured to self-learn unit’s interests and skill set, suggest upgrade trainings, send notifications to each of the unit for the predefined goal completion time corresponding to each of the set goals, and provide daily goals notification to the units.
In an embodiment, the system (100) employs Natural Language Processing (NLP).
In another embodiment, the analysis parameters are selected from the group consisting of quality, quantity, knowledge, productivity and non-project activities.
In yet another embodiment, the non-project work is selected from the group consisting of corporate social responsibility activities, volunteering, research & development activity, proof of concept activities, cultural activity, and sales opportunities.
The goal setting module (104), the work analyzer (106) and the performance assessment module (108) are implemented using one or more processor(s).
The processor may be a general-purpose processor, a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), and/or the like. The processor may be configured to retrieve data from and/or write data to the memory. The memory can be for example, a random access memory (RAM), a memory buffer, a hard drive, a database, an erasable programmable read only memory (EPROM), an electrically erasable programmable read only memory (EEPROM), a read only memory (ROM), a flash memory, a hard disk, a floppy disk, cloud storage, and/or so forth.
Figures 2a and 2b illustrate a flowchart for a method of work performance assessment of units. The steps include:
• Step 202: storing, by a repository (102), a first look up table having a plurality of pre-determined goals and a predefined goal completion time corresponding to each of the goals, a second look up table having a list of units and corresponding details of project work completed by each of the units, a pre-determined set of analysis parameters, a prototype of project work completed in time, a set of pre-determined rating rules, and past non-project work undertaken by each of the units;
• Step 204: fetching, by a goal setting module (104), the first look up table and the second look up table;
• Step 206: defining, by the goal setting module (104), set of goals from the plurality of goals by evaluating the details of project work completed by each of the unit;
• Step 208: fetching, by a work analyzer (106), the defined goals;
• Step 210: fetching, by the work analyzer (106), pre-determined set of analysis parameters, the prototype of work completed in time, the set of pre-determined rating rules, and the past non-project work of each of the units from the repository (102);
• Step 212: generating, by the work analyzer (106), at least one performance ratings for each of the pre-determined set of analysis parameters based on the analysis;
• Step 214: fetching, by a performance assessment module (108), each of the performance ratings; and
• Step 216: assessing, by the performance assessment module (108), performance of each of the units based on each of the performance ratings.
TECHNICAL ADVANCEMENTS
The present disclosure described herein above has several technical advantages including, but not limited to, the realization of a computer implemented system and method for work performance assessment of units which:
• automates goal tracking and unit performance assessment;
• identifies unit interests and skill set;
• provides notification to units about one or more impending goals and tracking unit compliance with respect to the completion of goals;
• identifies top talent; and
• identifies unit skills and interests and recommend skill upgrade trainings to the unit.
The embodiments herein and the various features and advantageous details thereof are explained with reference to the non-limiting embodiments in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein.
The foregoing description of the specific embodiments so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein.
The use of the expression “at least” or “at least one” suggests the use of one or more elements or quantities, as the use may be in the embodiment of the disclosure to achieve one or more of the desired objects or results.
While considerable emphasis has been placed herein on the components and component parts of the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the disclosure. These and other changes in the preferred embodiment as well as other embodiments of the disclosure will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter is to be interpreted merely as illustrative of the disclosure and not as a limitation.
,CLAIMS:WE CLAIM:
1. A computer implemented system (100) for work performance assessment of units, said system (100) comprising:
• a computing device having
a. a repository (102) configured to store a first look up table having a plurality of pre-determined goals and a predefined goal completion time corresponding to each of said goals, a second look up table having a list of units and corresponding details of project and non-project work completed by each of said units, a pre-determined set of analysis parameters, a prototype of project work completed in time, a set of pre-determined rating rules, and past non-project work undertaken by each of said units;
b. a goal setting module (104) configured to fetch said first look up table and said second look up table from said repository (102), being further configured to define a set of goals from said plurality of goals by evaluating the details of project work completed by each of said unit and defining a list of goals for each of said unit;
c. a work analyzer (106) configured to fetch said defined goals from said goal setting module (104) and fetch said pre-determined set of analysis parameters, said prototype of work completed in time, said set of pre-determined rating rules, and said past non-project work of each of said units from said repository (102), said work analyzer (106) configured to generate at least one performance rating for each of said pre-determined set of analysis parameters based on said non-project and project work completed by each of said units and said defined goals; and
d. a performance assessment module (108) configured to fetch each of said performance ratings from said work analyzer (106) to assess performance of each of said units based on each of said performance ratings,
wherein, said goal setting module (104), said work analyzer (106) and said performance assessment module (108) are implemented using one or more processor(s).
2. The system (100) as claimed in claim 1, wherein said goal setting module (104) includes:
• a memory (134) configured to store a pre-determined set of evaluation rules;
• an evaluator (136) configured to cooperate with said memory (134) to evaluate said details of project work completed by each of said units based on said evaluation rules and generate an evaluation result defining a list of said goals; and
• a selector (138) configured to cooperate with said repository (102), and further configured to select said pre-determined goals from said first look up table for each of said units, based on said list of goals.
3. The system (100) as claimed in claim 1, wherein said work analyzer (106) includes:
• a quality analyzer (110) configured to cooperate with said repository (102), and further configured to compare said details of work completed by each of said units with said prototype work using a first comparator (120) and generate a first comparison result, said quality analyzer (110) further configured to analyze quality of said work based on said first comparison result and provide a quality rating based on said analysis and said pre-determined rating rules;
• a quantity analyzer (112) configured to cooperate with said repository (102), and further configured to compare said details of work completed by each of said units with said prototype work using a second comparator (122) and generate a second comparison result, said quantity analyzer (112) further configured to analyze quantity of said work based on said second comparison result and provide a quantity rating based on said analysis and said pre-determined rating rules;
• a knowledge analyzer (114) configured to cooperate with said repository (102), and further configured to compare said details of work completed by each of said units with said prototype work using a third comparator (124) and generate a third comparison result, said knowledge analyzer (114) further configured to analyze knowledge of said unit based on said third comparison result and provide a knowledge rating based on said analysis and said pre-determined rating rules;
• a productivity analyzer (116) configured to cooperate with said goal setting module (104) and said repository (102), and further configured to track said work completed by each of said units for said defined goals, said productivity analyzer (116) further configured to identify a completion percentage based on said details of work completed by each of said units and provide a productivity rating based on said completion percentage and said pre-determined rating rules; and
• a non-project activity analyzer (118) is configured to cooperate said repository (102), said non-project activity analyzer (118) is further configured to compare said non-project work completed by each of said units with said past non-project work undertaken by each of said unit using a fourth comparator (126) and generate a fourth comparison result, and further configured to provide a non-project activity rating based on said fourth comparison result and said pre-determined rating rules.
4. The system (100) as claimed in claim 1, wherein said performance assessment module (108) includes:
• an interest and skill identifier (128) configured to cooperate with said work analyzer (106) to identify interests and skills of each of said units based on said quality rating and said knowledge rating;
• a recommendation module (130) configured to cooperate with said work analyzer (106) to recommend skill upgrade training for each of said units corresponding to each defined goals, based on said quality rating, said quantity rating, said knowledge rating and said productivity rating; and
• a performance aggregation module (132) configured to cooperate with said work analyzer (106) to provide aggregated work performance rating based on said quality rating, said quantity rating, said knowledge rating, said productivity rating and said non-project activity rating, and further configured to identify a top talent based on said work performance rating.
5. The system (100) as claimed in claim 1, wherein said system (100) comprises an unit assistant bot (140) is configured to cooperate with said work analyzer (106) to display work performance ratings of each of said unit, and further configured to self-learn unit’s interests and skill set, suggest upgrade trainings and send notifications to each of said unit for said predefined goal completion time corresponding to each of said set goals.
6. The system (100) as claimed in claim 1, wherein said system (100) employs Natural Language Processing (NLP).
7. The system (100) as claimed in claim 1, wherein said analysis parameters is selected from the group consisting of quality, quantity, knowledge, productivity and non-project activities.
8. The system (100) as claimed in claim 3, wherein said non-project work is selected from the group consisting of corporate social responsibility activities, volunteering, research & development activity, proof of concept activities, cultural activity, and sales opportunities.
9. A method for work performance assessment of units, said method comprising the following steps:
• storing (202), by a repository (102), a first look up table having a plurality of pre-determined goals and a predefined goal completion time corresponding to each of said goals, a second look up table having a list of units and corresponding details of project work completed by each of said units, a pre-determined set of analysis parameters, a prototype of project work completed in time, a set of pre-determined rating rules, and past non-project work undertaken by each of said units;
• fetching (204), by a goal setting module (104), said first look up table and said second look up table;
• defining (206), by said goal setting module (104), set of goals from said plurality of goals by evaluating the details of project work completed by each of said unit;
• fetching (208), by a work analyzer (106), said defined goals;
• fetching (210), by said work analyzer (106), pre-determined set of analysis parameters, said prototype of work completed in time, said set of pre-determined rating rules, and said past non-project work of each of said units from said repository (102);
• generating (212), by said work analyzer (106), at least one performance ratings for each of said pre-determined set of analysis parameters based on said non-project and project work completed by each of said units and said defined goals;
• fetching (214), by a performance assessment module (108), each of said performance ratings; and
• assessing (216), by said performance assessment module (108), performance of each of said units based on each of said performance ratings.