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How to manage the performance of R & D team?
2022-07-05 08:36:00 【Learn open source together】
Now the R & D management process , Performance evaluation is unavoidable , How to evaluate the performance of the development team is relatively more reasonable and scientific , This paper mainly discusses how to establish a performance evaluation system for R & D teams
present situation :
In the vast majority of existing teams , Performance evaluation is either based on data , Either subjective evaluation or a combination of the two to make a comprehensive evaluation . Data collection and evaluation methods tend to be traditional , Basically, the evaluation results are obtained by manual collection and calculation .
The problem is :
The existing methods have the following problems :
- Low data collection efficiency
- The evaluation criteria are not unified , There is a phenomenon of patting the head
- The evaluation scoring is not scientific , Eventually, it is easy to become subjective evaluation
- The corresponding tools are not unified , There are even no standard tools
programme :
This scheme proposes a flexible performance evaluation method , To solve the unscientific situation of team performance evaluation .
- First, the manager formulates the performance evaluation dimensions of each member of the team ; Dimensions can be expanded level by level
- Set the weight ratio for each dimension
- Set the data collection source ( Support system data collection and personnel evaluation )
- Set the weight of data source evaluation score
- Input data to calculate the score
Take the performance evaluation of the R & D team , for instance :
1. The manager formulates the performance evaluation items of members in each position of the team
Each dimension can be expanded level by level , such as " Ability evaluation " Disassemble into the following items
enthusiasm | conscientiousness | Executive ability | Expertise |
” Code quality “ Take apart
2. Set weights for each dimension
Then the above example , Corresponding to the following settings
Ability evaluation children
enthusiasm | conscientiousness | Executive ability | Expertise |
20% | 25% | 20% | 35% |
Code quality children
3. Set each data collection source
The source of data collection can be the system , It can also be personnel .
4. Set the weight of data source evaluation score
![image.png](https://p1-juejin.byteimg.com/tos-cn-i-k3u1fbpfcp/5c752163cd024a22b4ce964843b24484~tplv-k3u1f
( The score of each sub item after expansion is similar to that of the main item , Don't expand again )
1) Evaluator ( That is, the data source ) For each weight, the column is not 0% Item of
2) The comprehensive score of each column ( such as : Version quality column )= Rating of each data source × The weight of each data source The sum of the
3) Comprehensive score = Each column ( Version quality 、 Work progress 、 Code quality …) Total score of × Weight percentage of the whole column The sum of the
Get the comprehensive score data . That is, everyone's final score ;
Refer to appendix
Alibaba performance appraisal management system : http://www.docin.com/p-2128136430.html
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