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CASE IN POINT

Exploring Bell Curve Approach in Appraisal


Recently, the New Performance Management System has been introduced in Gov’t Sectors across the country based on Key Performance Areas (KPA) which is having its bearing on Management by Objective. In simple words for a public sector this new appraisal system is quite pragmatic with less scope of biasness because of cascading from Top to Bottom. The Memorandum of Understanding (MOU) is agreed and signed by the Chief Executive with Gov’t of India covering all activities of the organization with specific targets. The executives at the top level share the MOU points pertaining to their respective disciplines. Following the cascading approach, the MOU points are converted into KPA to be assigned to the executives down below in the hierarchy. It is going to become mandatory for every organization to have Bell Curve Approach identifying the potential at all levels of Human Resource in the organization.

It has been observed that the people do not have the proper understanding about the concept of Bell Curve Approach and confuse it with the Appraisal system, whereas it is only a tool to be used for justifying the comparison of employees within a group or within the entire organization and also on the face of budgetary constraints. When I say it is not a appraisal system, I say so because it does not have built in performance standards and metrics to distinguish outstanding, very good, good, average or poor performance. As a matter of fact Bell Curve rather needs another appraisal tool to facilitate the distribution of employees within the percentages that the company mandated to be assigned within the curve. Basically, the normal distribution curve used in a statistical science is used for implementation of Bell Curve Approach, mainly as camouflage to portray its validity and acceptance.

Let us to go back to the history about this theory which was conceived in the year 1994 by Herneistein and Murray when they analysed the forced ranking appraisal system to come out with the bell curve approach. According to them, managers should rank their employees from best to worst by applying rankings in a normal distribution curve with the basic objective to use that bell curve for determining the pay, rewards as well as no rewards.

The Bell Curve facilitates the grouping or classification of employees for types of rewards and other benefits to link pay with performance commonly known as Performance Related Pay (PRP). In today’s world the organizations implementing Bell Curve Approach are keeping the following standards for identifying the percentage on performance level:

• Out Performers - 10%

• Above Expectations - 20%

• Meeting Expectations - 40%

• Below Expectations - 20%

• Unsatisfactory - 10%

The Bell Curve or Normal Distribution Curve is quite easy to use understand and implement because following this concept we simply arrange the rated employees from one getting the highest rating to one who got the lowest with forming the groups with forming the groups by distributing them on percentage basis in various allocated columns. The Bell Curve needs to be used independent to the annual performance appraisal rating. The concept of Bell Curve is to be implemented with due care ensuring that it should not influence and “LEAD to the CHANGE” of the actual performance rating. The results of Bell Curve should be utilized mainly for the purposes to guide the distribution of the total amount of rewards, budgeted by the organization for a given year just to pay for performance identified by comparison.

A question may arise here that when there were 100 employees out of which say 28 were ‘Outstanding’, then, according to the bell curve only 10 employees find place in the top slot (right tapering end of the curve). i.e. outstanding category; so what will happen to the other 18 (28-10) employees? The difference between the outstanding and above expectation category is huge, but due to the Normal distribution, outstanding employees are rated same with the ‘Very Good’ employees. Moreover, in such a situation which 10 persons are to be chosen, if there is hardly any difference amongst them. So here creeps in biasness say injustice to 18 persons. The most relevant question will arise as to what will happen in a situation where all employees have been rated outstanding performers?

We can find the answer to the above question in the Bell Curve, where the employees are ranked from top to bottom. The system believes that even the best performers can still be ranked. As such, if twenty (20) employees get an OUTSTANDING (O) rating, then they can be ranked from 1 to 20, with the one getting “rank number one” presupposed to be the best among the “O” performers.

If the organization policy sets a “10-80-10” normal distribution, then only the top TEN will go to the right side or 10 percent column. The next TEN outstanding performers will be “forced fit” to the middle the 80 percent, but actually it is into two: 40 percent at middle right and another 40 percent to the middle left side of the curve. If the organization policy says that those who go to the right side gets promotion and an X percent of bonus or reward then only the TEN employees will be promoted and get that X bonus. The 11th to 20th employees with “O” rating will have the same fate as those who did not get an “O” (may be “Very Good” or “Good” only). But definitely, the TEN poorest performers will go to the left side of the curve. And if the organization policy is to manage them out, then they will be dismissed. There will be chaos and problems within the organization when those that got an “O” will soon discover that their ratings were changed to “Very Good” or “Good” just because they “slide down” the curve during the force fitting stage.

On the face of above limitations, the Bell Curve Approach does not recommend the change in rating regardless of the outcome in the bell curve distribution. If an employee is an outstanding performer, he will still be outstanding even if he was the 20th among the “O” performers and was not given promotion or bonus.

The Bell Curve is having certain bottlenecks which need to be addressed and taken care of for viable solution. These pitfalls or I may not be wrong to say ‘flaws’ can be categorized into three categories:

a) Normally, this Bell Curve Approach is implemented department wise instead of having its applicability on the entire work force that gives the chance that worst in some departments may be much better than the average in other departments.

b) When this approach is implemented in the department where the performance have been very good but the salary is quite less as compared to other departments than sooner or later the organization may see that the top 20 percent employee may leave the because they may not feel happy with their respective packages after comparing the same with the employees working in other departments.

c) While following the Bell Curve Approach along with improving the top performer in the organization it would also attract hyper competitive nature among the employees which may result into dysfunctional working environment in the same department. Moreover there is another drawback which can be seen because generally, the employees sent for training who are coming below the expectation level, thus ignoring the important aspect of training needs for better performance.

There are great amount of benefits which may come by following the Bell Curve Approach, if it is applied properly and aligned with good practices such as talent management and competency development. There will be a very effective use of this concept for the organizations which are going for restructuring, re-engineering for new business processes by way of cutting down their work force for the cost advantages etc., Some HR Professionals have a feeling of apprehension about complication in deriving the Bell Curve since it is statistical tool requiring accuracy and perfection. For these professionals there is a good news that not they can use a software that can generate desired output in the form of fool proof, error free, statistical analysis as well as a results which can be put to test for effective use. There are number of software available in the market such as K-Lite.

General Electric was the first company to implement this concept which was followed by Microsoft, Sisco Systems, Hewlett – Packard and Sun Micro System etc. In our country, the response was not so encouraging to adopt this system, though it succeeded in the West because of work culture followed by corporate policies. But since, we tend to have a more emotional approach, it never became so popular. Care must be taken that using Bell Curve as appraisal tool should also have the scope for answering the complaints and law suits. It is not really possible to have any legal defense. A large number of HR practitioner in US and Europe do not advocate for appraisal as a whole mainly because of Bell Curve.

Prof. Dewakar Goel is General Manager - Human Resource, Airports Authority of India New Delhi

Prof. Dewakar Goel is General Manager - Human Resource, Airports Authority of India New Delhi. He is IATA qualified instructor from Geneva Switzerland on the expert panel of International Civil Aviation Organization, Montreal, Canada. He is a visiting professor for many prestigious business schools, including IIT’s and NMIMS University, Mumbai. He has authored more than 10 books which include books on management. Recently he was the chairperson and speaker for Asian Airports Summit 2008 at Singapore as the only Indian among representatives from 16 countries. He is delivers lectures on the topic of “Influence of Stress on Performance” based on his research for PhD. Prof Dewakar Goel can be contacted at dewakargoel14@gmail.com and mobile - 0968247070 with address 4051, Joy Apartments, Plot No.2, Sector,-2, Dwarka, New Delhi.

 

 


 


 

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