Archive for the ‘Targets’ Category

Target setting – insights from the Balanced Scorecard Forum 2011 Dubai

Tuesday, April 26th, 2011

One of the workshops held at the Balanced Scorecard Forum 2011 Dubai, Executing Strategy with Balanced Scorecard,  facilitated by Aldo Labaki & Roberto Wyszkowski, Palladium UAE, generated an environment of open discussions, including time allocated to questions and answers.

As some participants were considering to implement Balanced Scorecard  in the near future or others were at their first months of implementation, a question that was raised was how to set the targets for the first time, when no history of data is available.

Answers were offered both by participants that were using the Balanced Scorecard for some time now, and by the facilitators. Some options mentioned for setting the targets for the first time in a BSC implementation were:

  • Benchmarking - setting targets according to the best in class results; however, this was intensely debated, as data may not be available or public for some Key Performance Indicators (KPIs) or it may be difficult to obtain;
  • Set targets that can be reached - first agreeing on some targets that seem to be achievable and than increase the stake, for this method can increase the confidence of reaching higher targets;
  • Measure first, than set targets (Palladium UAE, 2011).

As literature is concerned, one of the most thorough and insightful articles on the topic is considered to be “How to avoid the problems of target-setting” (Meekings, Briault & Neely, 2010), presented at the 2010 PMA Symposium in Scotland. The article covers topics such as:

  1. Understanding the typology of targets;
  2. Clarifying the terminology used;
  3. Distinguishing between differing uses of measures;
  4. Adopting a systemic perspective;
  5. Acknowledging the unknown and unknowable;
  6. Charting performance;
  7. Differentiating managerial time spans of attention and added value from front line to boardroom (Meekings, Briault & Neely, 2010).

As this article mentions, the critics of target setting point out issues such as:

  • If set too high, they create stress and de-motivation;
  • If set too low, they encourage complacency;
  • If imposed, they are unlikely to be owned by those who have to deliver them; and
  • If negotiated, there is an incentive to press for lower targets that are easier to meet, thereby creating tension and suspicion between managers (Meekings, Briault & Neely, 2010) .

Target setting has its advocates and critics, remaining a highly debated topic nowadays, both in business practices and in academic literature. No matter the context, target setting should serve a greater purpose than just measuring performance, for it may be a key process in managing and improving performance.

References

Palladium UAE (2011), Pre-Forum Workshop A – Executing Strategy with the Balanced Scorecard, Balanced Scorecard Forum 2011, Dubai.

Meekings, A., Briault, S. & Neely, A. (2010), How to avoid the problems of target-setting, PMA Symposium, Scotland.

If set too high, they create stress and de-motivation;

If set too low, they encourage complacency;

If imposed, they are unlikely to be owned by those who have to deliver them; and

If negotiated, there is an incentive to press for lower targets that are easier to meet, thereby creating tension and suspicion between managers.

How to set yellow thresholds for targets? – Insights from Balanced Scorecard Forum 2011 FAQs

Tuesday, April 5th, 2011

Balanced Scorecard Forum 2011 in Dubai generated an environment of intense interaction between participants, speakers and facilitators, giving the opportunity to address questions that for many delegates represented obstacles in implementing or utilizing Balanced Scorecard within the organization.

Starting with the first day of the Forum, a frequently asked question was raised in the Pre-Forum Workshop A – Executing Strategy with the Balanced Scorecard, facilitated by Aldo Labaki & Roberto Wyszkowski, Palladium UAE: “How to set yellow thresholds for targets?”. In practice, as expressed  by the delegates, it is highly interpretable and debatable among the employees that set and have to achieve the target. The facilitators mentioned that this issue has been raised with many occasions, however, a generic answer has not yet been agreed upon at international level. An option mentioned during the workshop was the following:

  • Blue (or gold) – for achieving >95% of the target;
  • Green - for achieving 75%-95% of the target;
  • Yellow - for achieving 60%-75% of the target;
  • Red – for achieving <60% of the target.

Various answers to this question raise a continuous debate on how to set thresholds for the targets of KPIs. For example, dashboard and scorecard users may offer different color coding of thresholds (Facca, Jozlin, Spears & Ward, 2009), such as: green (>80% of target), yellow (60%-80% of target), or red (<60% of target):

Source: Facca, Jozlin, Spears & Ward (2009)

When reviewing KPIs, color signals, are used to visualize the difference between the current situation when it is compared to the desired outcomes. This is an effective tool for communication. Red signals visualize that immediate action is necessary, while yellow is used to express that close attention is needed. Green is used when the relationship between current and target measures are satisfying (smartKPIs.com, 2011).

smartKPIs Premium service offers access to a section dedicated to examples of thresholds set for each documented KPI, as our belief is that thresholds need to be customized according to the reality of each organization.

References

Facca, N., Jozlin, B., Spears, S. & Ward, J. (2009), PerformancePoint Tutorial, available at: http://homepages.wmich.edu/

smartKPIs.com (2011), On Key Performance Indicators (KPIs),  available at: http://www.smartkpis.com/kpi_examples/dashboard/

Shopping Centre Performance – Urbis Retail Averages 2010

Wednesday, December 15th, 2010

Urbis, a Melbourne based real-estate consulting company has released Urbis Retail Averages 2010, this year’s edition of the annual survey of shopping center performance the company has been producing since 1992 . Conducted in cooperation with the Shopping Centre Council of Australia and using the Counci’s sales reporting standards, the study provides key results and analysis of the sector for both regional and sub-regional centers. 59 regional and 167 sub-regional shopping centers submitted data for this year’s edition.

Some of the performance measures analysed by the report are:

  • $ Average turnover per centre
  • % Turnover growth rates
  • % Occupancy cost ratio of sales
  • $ Sales per square metre
  • $ Average gross leasable area (GLA)

The study outlines a sector in expansion in Australia:

Source: Urbis, 2010

In 2009-2010 the biggest sales decrease in Australia for shopping center based stores was in leisure and homewares:

Source: Urbis, 2010

The gap between average turnover per regional centers compared to sub-regional centers continued to expand:

Source: Urbis, 2010

For more details on the report or to place an order visit: http://www.urbis.com.au/

References

Urbis, 2010, Urbis Retail Perspectives, November 2010, available at http://www.urbis.com.au/downloads//Retail%20Perspectives%20Nov-101.pdf, accessed on 15 December 2010.


2010 Trends for workers compensation claim frequency

Wednesday, October 27th, 2010

A research brief released recently by the USA based National Council on Compensation Insurance Inc. (NCCI) indicates that the workers compensation claim frequency declined with 4% in 2009, compared to 3,4% in 2008. However, the data also reveals that though claim frequency is down, indemnity and medical severity continue to rise, outpacing the wage inflation.

These two performance measures for work safety have a great impact upon both the employer organizations and the insurance companies. Large employers that can afford safety programs saw the steepest decline in injuries, due to the reduced costs paid for workers compensation claims. On the other hand, the insurers earnings are highly correlated with the increased indemnity and medical severity, that are outpacing the average weekly wage.

Source: NCCI (2010)

Since 1990, injury rates have dropped nearly 55%, due to some key factors influencing the long term decline in workers compensation claim frequency:

  • Global competition – advances in automation, technology, and production;
  • The aging of the workplace – older workers tend to have fewer workplace accidents;
  • Employers’ continuing focus on workplace safety over the years;
  • Reforms that tightened compensability standards in the 1990s (NCCI, 2010).

Over the latest five years, the decline in claim frequency continues to be widespread, being observed for all industries, geographic regions, and employer sizes, as well as for most claim types. However, the frequency changes vary considerably by type of injury: for example, the more complex such as carpal tunnel and lower back claims declined more than average.

Regarding future trends, economic factors suggest further reductions of claim frequency are likely in 2010. The economic recessions typically put additional downward pressure on claim frequency, because of less “job creation” which translates into a more experienced, and therefore less accident-prone, workforce. (NCCI, 2010).

References

NCCI (National Council on Compensation Insurance Inc.) 2010, Workers Compensation Claim Frequency Continues to Decline in 2009, available at: https://www.ncci.com/Documents/research-claims-frequency-sept-2010.pdf (accessed 25 October 2010)

Gender diversity policy – an Australian banking industry perspective

Monday, October 18th, 2010

Source: ANZ, 2008

According with a recent article published in several high rated Australian newspapers, „ the days of the bank boardrooms being the domain solely of suits and ties could soon be at an end” (Johnston and Bibby, 2010).

This comes as a result of several banks such as Westpac and Commonwealth Bank who announced new policies to dramatically boost the number of women in management roles.

According to Westpac management, the bank had put in place a gender target to double the number of women in management positions to 40% in the next 4 years. The KPI used to monitor the results of this initiative is % Managers who are women. It can be found in the KPIs examples from the Human Resources Functional Area section of www.smartkpis.com.

The new targets come mostly as a response to the new ASX guidelines which are about to come in force in January, though as several studies and reports already proved, gender diversity can boost a company’s performance (Smith et al, 2005; Manpower, 2008), and thus should be a standard strategy to be adopted and followed by most of the companies.

Several companies like the ANZ Bank, already recognized this necessity of promoting more women in management positions. Currently, they are well on their way, running programs to boost the corporate gender diversity. According with the ANZ (2010) corporate responsibility policy:

• Organizations who are employers of choice for women have access to a larger talent pool;

• Are better positioned to represent the needs of customers and communities;

• Understand the link between a higher proportion of women in top management and increased profitability;

• „Gender diversity is an important characteristic of companies with excellent financial performance and developing women managers and leveraging that talent by giving them a seat at the decision making table is smart business.” (ANZ, 2008)

Though, a number of governmental official voices, among which Marie Steel, the acting director of the federal government’s Equal Opportunity for Women in Workplace Agency, already questioned how the 40% target will be achieved in such a short period of time, the initiatives seems to be an achievable one.

A recent survey among the Australian corporations shows that the banking sector is the best positioned to boost their gender diversity, with 13% of women employed in management position compared with just 8% for the country general.

Though the initiative is laudable, as Johnston and Bibby (2010) in their article acknowledge, there is a lot of terrain to cover, especially when comparing with high achievers like Sweden or Norway.

References

ANZ (2008), ANZ’z approach to advancing women in the workplace, Corporate Responsability – Gender, available at http://anz.com/resources/5/8/58755080402e27ca8188ab68c54970db/EOWA-booklet.pdf?CACHEID=5a9ac900402e2750b0bef72c5b851de3, (accessed 12 October, 2010)

ANZ (2010), Corporate responsability – Gender, available at http://anz.com/about-us/corporate-responsibility/employees/diversity-culture/diversity/gender/, (accessed 12 October 2010)

Jonston, E. and Bibby, P. (2010), Westpac adopts gender target, available at http://www.theage.com.au/business/westpac-adopts-gender-target-20101011-16g41.html (accessed 12 October, 2010)

Manpower (2008), 2008 Women in Management Survey, available at http://www.manpower.com.tw/pdf/2008_Women_in_Management_Survey_en.pdf , (accessed 12 October, 2010)

Smith, N.; Smith, V. And Verner, M. (2005), Do women in Top Management affect firm performance? A panel study of 2500 Danish Firms, available at http://ftp.iza.org/dp1708.pdf , (accessed 12 October 2010)

KPI examples in practice: Yarra Trams – Melbourne – Australia

Saturday, April 3rd, 2010

About Key Performance Indicator (KPI) examples in practice

www.smartkpis.com provides its users with a comprehensive repository of thoroughly documented KPI examples grouped by functional area and industry. Many of these examples are much easier to understand when they are put into context. Starting with March 2010 the website also contains a free online catalogue of reports that illustrate the use of performance measures in practice by organizations from around the world. This is a snapshot of the main areas covered in such an example available in the KPIs in practice section of www.smartkpis.com :

Brief company profile for Yarra Trams

Company name: Yarra Trams
Business: Operates Melbourne’s tram service
Industry: Transportation
Head office: Melbourne
Country: Australia
Performance results available: On webpage

Performance Measures in use at Yarra Trams

  • Yarra Trams service delivery and punctuality performance results are made available to the wider public on a monthly basis, on the company website, posters in trams and through the customer feedback number.
  • If the service delivery or punctuality results fall below targets, the company is committed to provide compensation to eligible customers.
  • The online archive of performance results covers the period January 2007-November 2009 (as of 1 January 2010).
  • Examples of key performance indicators (KPIs) in use:

% Punctuality. A tram service is considered to be on time if it arrives between 59 seconds before and 4 minutes 59 second after the scheduled time.

% Service delivery. Service delivery reflects the percentage of planned services delivered.

  • Examples of targets in use:
  • 80% Service Delivery

    77% Punctuality

More details

Company website: http://www.yarratrams.com.au
Library of KPI examples:
http://www.smartkpis.com
Repository of KPIs in practice: http://www.smartkpis.com/kpi_examples_in_practice/dashboard/
KPI examples by relevant industry:

An introduction to theory in Performance Management: Agency theory and its link to pay for performance arrangements

Friday, April 2nd, 2010

smartKPIs.com Performance Architect update 13/2010

Agency theory has its origins in the research conducted by economists in the 1960s and 1970s, exploring risk sharing among individuals and groups, such as the relationship between insurers and customers. Gradually the scope of investigation expanded from risk to cooperation and division of labour between parties with different goals (Eisenhardt, 1989). As a result of this process, agency theory or the principal-agent problem addresses the relationship of agency, one of the oldest forms of social interaction. It was described eloquently in one of the first academic articles on the subject: “…an agency relationship has arisen between two (or more) parties when one, designated as the agent, acts for, on behalf of, or as representative for the other, designated as principal…” (Ross, 1973). The relationship between employer and employee, doctor and patient or between government and the governed are representative examples.

The theory was discussed in great detail by Eisenhardt in a series of articles published in mid to late 1980s, providing more clarity regarding the application of this theory in organizations. In an organizational context the agency theory explains how to best organize relationships in which one party (the principal) determines the work, which another party (the agent) undertakes. (Eisenhardt, 1985). The implications for performance management as a discipline are considerable, as in organizational context, the objectives of individuals, teams and the entity as a whole can be in conflict. Goal conflict can motivate incompatible actions and this has the potential to impact performance. Thus, alignment between individual and group objectives is important for maximising performance.

The challenge is balancing and harmonising the interests of the principal (employer) and the agent (employee). The settings in which the agency theory is defined in an organizational context are:

  • Organizations are composed of a complex network of relationships between individuals and entities with conflicting objectives.
  • Both the principal (i.e. employer) and the agent (i.e. employee) are wealth seeking “economic men” who pursue their own self interest (Tiessen and Waterhouse, 1983)

Eisenhardt (1985) presents the theory in two cases. The first one is characterised by complete information, when the behaviour of the agent is observed and the actions and motivations are transparent. The solution to this scenario is a behaviour based contract purchasing of services. However, such a scenario if less frequent due to the information asymmetry problem.

The second case is characterised by incomplete information. In this case, a fixed wage might create an incentive for the agent to avoid efforts and responsibilities since his compensation will be the same regardless of the quality of his work or his effort level (Eisenhardt, 1985). The principal has limited information regarding the level of effort and the behaviour of the agent. This generates a number of issues:

  1. The utility function of the agent is in contradiction to the one of the principal. In a company, the employer is interested in maximizing productivity and profit. Employees however may have their own agendas, sometimes being maximizing the benefits from the association with the organization (revenues, training, and status) with minimum effort.
  2. There is an information asymmetry between the principal and agent. The underlying behaviour motivations of both employer and employee are not clearly expressed and balanced. What makes this problem more challenging is that such motivations change continuously.
  3. Moral hazard, as the principal can’t determine the effort level employed by the agent and cannot be sure if the agent has put forth maximal effort (Eisenhardt, 1989).
  4. Adverse selection, as agents may claim their skills and experience level is higher than the actual one. The principal cannot ascertain if the agent accurately represents his ability to do the work for which he is being paid (Eisenhardt, 1989).
  5. The difference between principal and agent in terms of attitude towards risk. Often the principal is assumed to be risk neutral while the agent risk adverse (Tiessen and Waterhouse, 1983).

Possible solutions for such are scenario are:

  1. Increasing the quality and quantity of information related to the behaviour of the agent. This can be done through increasing the level of management, physical surveillance and establishment of control mechanisms such as budgeting systems (Eisenhardt, 1985). However it is costly and most often impractical to address the information asymmetry problem. Options such as surveillance may raise privacy and ethical issues and are not always suitable and most of the time not welcomed by the agent. The problems of adverse selection and moral hazard mean that fixed remuneration contracts are not always the ideal solutions to organize relationships between principals and agents (Jensen and Meckling, 1976).
  2. A second option is rewarding the agent based on outcomes by using arrangements such as: commissions, profit sharing, bond posting by the agent and leveraging the fear of firing. . The provision of ownership rights reduces the incentive for agents’ adverse selection and moral hazard since it makes their compensation dependent on their performance, which includes risk sharing (Fama and Jensen, 1983). The disadvantage of such an approach is that the agent may be penalised or rewarded for results that were influenced by non-controllable, external factors: good outcomes may be produced despite poor efforts and poor outcomes may occur despite good efforts from the agent, to whom some of the risks of the firm are transferred (Eisenhardt, 1985).

Overall, the principal-agent relationships should reflect efficient organization of information and risk-bearing costs. The human assumptions to be considered are self interest, bounded rationality and risk aversion, while at organizational level the assumptions to be analyzed are the goal conflict among participants and the information asymmetry.

While analysis of the theory can be done at macro level, the solution of the problem is specific to each organization. It is influenced by the environment in which it operates and the internal characteristics, such as resources available and structure of organizational systems.

Performance management systems are generally employed to help address the problem. However, this should be noted as one of the contributions such systems bring to organizations. Using such systems to address the agency problem limits their potential and if not configured properly may cause additional issues. This should be a good enough incentive to explore the theory that informs performance management as a discipline before using systems and tools without a clear purpose.

Stay smart! Enjoy smartKPIs.com!

Aurel Brudan

Performance Architect,
www.smartKPIs.com

References

Eisenhardt, M, K. (1989), “Agency theory: An assessment and review”, Academy of Management Review, Vol. 14, No. 1, pp. 57-74.

Eisenhardt, K. M. (1985). “Control: Organizational and economic approaches”, Management Science, Vol. 31, Nr. 2, pp. 134-149

Fama E. F. and Jensen M. C., “Agency Problems and Residual Claims”, Journal of Law and Economics, Vol. 26, No. 2, pp. 327-349

Jensen, M.C., and W.H. Meckling (1976), “Theory of the firm: managerial behavior, agency costs and ownership structure”, Journal of Financial Economics, Vol 3., No. 4, pp. 305−360.

Ross, Steven, (1973). “The economic theory of agency: The principal’s problem”, American Economic Review, Vol. 63, No.2, pp. 134-139.

Tiessen, P., J.H. Waterhouse (1983), “Towards a descriptive theory of management accounting”, Accounting, Organizations and Society, Vol. 8 pp.251 – 267

KPI examples in practice: Camelot Group – the operator of The UK National Lottery

Tuesday, March 9th, 2010

Camelot is the operator of The UK National Lottery. It operates solely in the UK and Isle of Man and its head office is situated in Watford. The primary purpose of the Camelot Group is to drive sales in order to maximize returns, having as principal activity the operation and promotion of The UK National Lottery in a socially-responsible manner. Its strategy is centered on four key elements:

  • Strengthening the National Lottery brand and giving it universal appeal.
  • Growing the core product range and diversifying into new products to better satisfy consumer needs.
  • Giving consumers easy access to the brand.
  • Building direct dialog with consumers alongside traditional mass communications, wherever possible.

The Camelot Group monitors and uses a set of Performance Standards (Key Performance Indicators) in order to achieve its purpose, follow the strategy and also remaining compliant with regulations so it will maintain its Operating License.

The financial KPIs cover sales levels, prizes and returns, as well as net profit levels. The performance standards cover areas like the availability of the computer systems, player service, prize payment, complaints investigation and resolution, and customer contact.

The table below presents some of the KPIs used by the Camelot Group, together with the targets set and achieved at the end of 2008.

The table clearly depicts how performance indicators (both financial and non-financial) are aligned to the strategy the Camelot Group follows.

For example, to maximize the  returns the Camelot Group monitors indicators such as:

  • $ Profit before taxation
  • $ Gross ticket sales
  • $ Prizes

To give consumers easy access to the brand the Group monitors indicators such as:

  • % Terminal sales availability
  • % Access to NLL Voice Response System (VRS)
  • % Complaint resolution (all channels)

The Camelot Group managed to achieve its targets for 2008 and even surpass some of them, safeguarding its position as one of the most cost-efficient lottery operators in the world.

More details

smartKPIs.com library of KPIs in Practice: Camelot

Camelot company website: 2009 Annual Report and Financial Statements, available at the following link: http://www.camelotgroup.co.uk/annualreport2009/performancestds.html (accessed 7 March 2010)

Applying Goal Setting Theory in practice: An action research exercise

Thursday, February 25th, 2010

smartKPIs.com Performance Architect update 8/2010

In my previous updates I highlighted the importance of theory in performance management and introduced the goal setting theory as one of the most important informing the discipline. I also outlined the importance of understanding the complexities of setting targets.

At smartKPIs.com, we not only enjoy thinking and talking about performance management, but we also apply performance management concepts in our own work. Today’s update illustrates how goal setting theory was used in practice by the smartKPIs.com team through an action research exercise.

Situation: At the beginning of November 2009, the database of performance measures on www.smartKPIs.com had 600 published KPI examples. The growth rate of the database was constant in November and December, however limited and not optimized..

Challenge: To make the website content more relevant to the diverse profile of visitors, we needed to accelerate the rate at which new KPI examples were published.

Methodology: apply the Look, Think and Act routine of Action Research (Stringer, 2007)

  • Look – we gathered relevant information and developed a rich picture of the various functional areas and industries part of the smartKPIs.com taxonomy.
  • Think – we analyzed the documentation process and clarified the issues to be addressed
  • Act – we established a plan, implemented it and evaluated results

Theory: use Goals Setting Theory principles (Locke & Latham, 1990)

Application of Goal Setting Theory principles:

  • Challenging but attainable. We established an overall target for the entire documentation team: Double the number of published KPIs in one month. From 1000 at the end of December 2009 to 2000 published KPI examples by the end of January 2010.
  • Specific rather than vague. We were aware that such a challenging target might lead to a decrease in the quality of the content. This risk was addressed by clarifying that the target had to be achieved while respecting the high quality standards characterizing the KPI examples documented on http://www.smartKPIs.com. This was reinforced by the establishment of work package with clear quality and quantity specifications.
  • Involvement of team members in the process of setting their own targets. We decided to split this target by working days and established the daily target number of KPIs for the team. This was divided by team member, taking into account the proportion of working hours allocated to this task each day. These targets were discussed and some of the team members adjusted them upwards, based on the level of difficulty of their allocated work package.
  • Ensure targets are measurable in terms of being clearly understood by employees: quantity, quality, time and cost. A spreadsheet was established to clarify daily targets and keep track of the progress. Weekly meetings were used to discuss progress, share learnings and adjust work packages.

Results:

  • January 2010 – The target was met on the last day of the month: 1000 KPI examples were published in a 4 weeks period, as planned.
  • February 2010 – The target was met one week before the deadline, confirming that the previous month result was due to an improved process, easily replicated from one period to another.

Outcomes: Performance management is more than just ensuring outputs are delivered as planned. It is also about using such outputs to deliver outcomes that generate added value. Here is how the output of 2000 KPIs published as planned during the last two months is generating value for smartKPIs.com:

  1. The traffic to http://www.smartKPIs.com increased considerably. In February 2010, smartKPIs.com established a new site record in terms of daily visitors.
  2. The traffic to the website remained constant even after stopping the advertising campaign we rolled out last year. After a brief decrease, the volume of visitors started to gain momentum. While other factors contributed to this, certainly the quality content published over the last two months, had its share in attracting new visitors. Thus the financial value generated by the added content can be estimated as the equivalent of a large share of our advertising budget for two months.
  3. The continuous improvement of the quality and quantity of the content consolidated the recognition smartKPIs.com has started to have the international performance management community as a global platform for performance management knowledge integration.
  4. Internally, the learning experience team members shared during this exercise contributed to the generation of new ideas and innovation, such as the launch of the Performance Management IQ test.
  5. The experience itself and the achievement of targets confirmed the talent, dedication and work ethic of the smartKPIs.com team. It gave a sense of pride and satisfaction of getting the job done. Having the opportunity to plan, deliver and excel is in itself a powerful motivator and enabler of self efficacy. It is a story worth telling others: “…In December 2009, while working with the smartKPIs.com team on growing the website, we were faced with this challenge…We were a great team…And we did exceptional things…”

After all, as Albert Einstein said: “The value of achievement lies in the achieving.”

Notes:

  • No bonuses were paid for achieving the targets set as part of this exercise.
  • No paper was printed as part of the measure documentation process.

Stay smart! Enjoy smartKPIs.com!

Aurel Brudan
Performance Architect,
www.smartKPIs.com

References

Locke, E. A., & Latham, G. P. (1990). A theory of goal setting and task performance. Englewood Cliffs, NJ: Prentice Hall.

Stringer, E. T. (2007) “Action Research, 3rd Edition“, Thousand Oaks, CA, Sage Publications.

Setting targets, cooking steak and using thermometers

Saturday, February 20th, 2010

smartKPIs.com Performance Architect update 7/2010

Setting targets is relatively easy if you want to make it easy – just pluck a number from the air, make it your target and strive to achieve it. However, there is more to target setting than a simple number selection.

One of the first things to be clarified when using target is why they are used. The answer might seem intuitively simple: to facilitate their achievement. Still, there are more reasons to using targets.

One of my favorite metaphors regarding using targets is the thermometer. Thermometers are used in multiple ways:

  • To check if the temperature is within certain limits. In medicine 37° Celsius / 98.6° Fahrenheit is considered the average healthy temperature of a healthy human body. In a way it can be considered a target, however a flexible one, based on a variance interval around it.
  • To ensure the temperature meets a specific value. For example, in cooking some dishes require a specific temperature to be reached as per the recipe. In this case, meeting the target temperature is required for the successful preparation of the dish.

Similarly, in other aspects of human administration, such as business, targets can be set for multiple reasons:

  • To learn – targets provide a good reference point for evaluating achievement and comparing results.
  • To motivate their achievement – as per the principles outlined by the Goal Setting Theory
  • To control / ensure compliance – to verify the achievement of a specific limit required as part of the successful delivery of a business plan.

In time, the latter two reasons worked hand in hand to overshadow the learning aspect of target setting. They work fairly well in the short term and bonuses based on meeting short term targets have become the norm in business. However, their long term impact is in many instances less positive. The Global Financial Crisis is only an example of the manifestation in practice of this thinking.

Coming back at the thermometer metaphor is as we would use thermometers only to check the temperature of the steak we are cooking (satisfying our short term hunger), having forgotten to also using them to monitor the temperature of our body, for long term health benefits. In practice (medicine and manufacturing) this is not the case – thermometers used in equal measure for learning and ensuring compliance. In business administration it is as if we have forgotten about the learning aspects of target setting… Reward and recognition driven target setting is the norm.

The implications at cultural level are important. Targets for control in many instances result in a dangerous combination of human greed and mechanistic behavior. This combination, coupled with ineffective risk management is one of the factors that contributed to the demise of many organizations in recent history. Having a good steak is generally easier and more appealing than monitoring health and learning about ourselves.

Fortunately, the body has the ability to self regulate temperature. Organizations, on the other hand don’t have a mature self-regulation system, again mainly due to the relatively low level of sophistication of organizational culture today.  As a result rewards and recognition target setting seems to be a relic of 19th century management prehistory, a reflection of our inability to find the right balance in human organizations. After all, it took hundreds of years to evolve the thermometer to its current form. Scientific management has been around for less than 100. Maybe it is just a question of time.

Stay smart! Enjoy smartKPIs.com!

Aurel Brudan
Performance Architect,
www.smartKPIs.com

When marketing meets finance: the break-even level of sales

Tuesday, February 16th, 2010

In a previous blog post we investigated the Return on Marketing Investment, a metric that analyzes the marketing activity from a financial point of view that is more complex than the revenue from sales generated by marketing.

The current blog post aims at exploring another area where finance meets marketing: the break-even analysis. In this area, we consider that finance actually needs marketing: the break-even analysis aims at determining from which point on (i.e. volume of sales), a business begins to generate profits.

Calculating the break-even level of sales is done by following the steps below:

  • Calculate your fixed production costs. These include the costs to produce that do not vary upon the volume of production and generally include the administrative costs (rent, secretary etc.)
  • Calculate the variable unit costs. These are costs that depend on the production volume (such as: salaries for the operational employees, utilities in the plant, raw materials etc.), that are divided to the volume of production to obtain the cost per unit.
  • Estimate the price that will be charged for each unit of the product or service. There are various price-setting strategies, such as adding a margin to the production costs, considering competition prices and even the break-even analysis itself can be used at setting the right price.

The break-even level of sales is then calculated as:

# Break-even level of sales = $ Fixed costs / ($ Price per unit – $ Unit variable cost)

The calculation formula is derived by the equation that reflects the zero profits:

$ Total revenue = $ Total costs

The result indicates the sales volume that needs to be achieved in order to attain the break-even – at which the revenues cover the costs, but no profits are obtained. From this sales level on, the business begins to generate profits.

After having calculated the break-even level of sales based on mostly financial inputs, the marketing department can estimate when and whether these levels of sales can be achieved and in which conditions.

Thus, the contribution of the break-even level of sales is considerable in what regards several financial decisions:

  • Finding the optimal fixed to variable costs combination
  • Comparing the estimated profitability of various options for investment
  • Setting optimum price levels

To take the analysis a step further, finance managers can even set targets for the profits they intend to achieve and calculate the expected level of sales that would generate these profits. This is done by adjusting the break-even calculation to include the profit targets, meaning we will now calculate the level of sales that will generate an expected amount of profits, not zero profits (as in the case of the break-even level of sales):

# Target volume = ($ Fixed costs + $ Profit) / ($ Price per unit – $ Unit variable cost)

For further reading and examples of calculating the break-even level of sales, you can follow:

Break-Even Analysis, Weatherhead School of Management

David Kinard (2009), Metric Monday – How Much is that Marketing Effort Worth?

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