The term value flow analysis is derived from the concept of value stream mapping, which is deeply rooted in activities relating to producing and delivering a product or a service to the customer. James Womack, Daniel Jones, and Daniel Roos first formulated the value stream concept in their book entitled ‘The Machine that Changed the World”. Published in 1990, the book was considered to have launched the Lean movement, which popularized methods of systematic reduction of waste in working processes.
James Womack and Daniel Jones further took on the concept in their book entitled “Lean Thinking,” published in 1996. It defines a value stream as “the set of all specific actions required to bring a product or service through critical management tasks.” (Womak & Jones, 1996, p. 19) According to Drew Locher, the author of “Value Stream Mapping for Lean Development,” “Value stream mapping is an effective and proven tool to assess existing business processes and to re-design them based on <Lean> concepts.” (Locher, 2008, p. 1)
As related to process performance and a potential model for linking processes to organizational strategy, value flow analysis enables the categorization of KPIs through their contribution to the main stages in the value generation chain: input, process, output, and outcome. Furthermore, this distinction allows for a deeper understanding of each KPI’s contribution to the organizational objectives set, based on clear assignation to the following listing:
Input metricsare associated with the quantity or quality of the resources engaged in a particular task or operational activity. Such metrics or KPIs will be generally linked to budgets, human capital, and other tangible assets the organization brings to the production/development process. Input metrics will generally be related to achieving financial objectives, such as maintaining the company’s financial discipline, internal processes objectives like the efficient use of company resources, or people-related objectives, such as the availability of human resources for the organization.
Process metricsareaffiliated with the transformation process that is involved with taking the company’s inputs and converting them into desired outputs for the organization. Process metrics commonly reflect on the activities or actions that are taken to convert inputs into organizational outputs. Process metrics will reflect on the achievement of internal processes objectives as a rule. Quality and time-based considerations will be best reflected with selecting and establishing process metrics or KPIs for the organization.
Output metricsareindicative of the results obtainedwith the designated inputs of the organization. Output metrics or KPIs will commonly reflect on a backward or reversed control representation of the efficiency with which the company’s resources or inputs are used to produce final products or develop end-user services.
Outcome metrics reflect the ultimate effect on the value of the organization’s production and service development processes. Outcome metrics or KPIs will frequently support top-level objectives while reinforcing the company’s overarching purpose as reflected in its strategic themes. Although not generally used with the more common Value Stream Mapping technique, outcome metrics are desirable because they allow for a more valid association with organizational objectives by organizational layers.
Documenting processes by use of the value flow analysis serves multiple purposes. The quality of process outputs and outcomes is directly related to the quantifiable amount of inputs, efficiency, and speed with which they are used in the process of their transformation. As quantifiable measures of a company’s operational performance, KPIs are therefore an effective instrument for decomposing processes by their main value creation stages:
Quantitative KPIswill stand for the measurable characteristics of the inputs that go into the value creation chain. Quantitative KPIs easily relate to an objective appreciation of the amount of inputs or resources the company uses to obtain its desired outputs and positively influence envisioned outcomes.
Time-related KPIswill be easily identifiable with the activities or actions that are undertaken as part of a process. Time-related KPIs will always be process-based, given that they are the only ones capable of accurately reflecting on the speed of the transformation process.
Qualitative KPIswill relate mainly to the outputs and outcomes in the company’s value creation chain while reflecting on the quality of results produced as part of the transformation process. Qualitative measures are still quantitative; however, they possess the additional capacity of reflecting on the quality of operations conducted.
These particular characteristics make KPIs easily responsive to the four stages in the value creation process and are also similar to the characteristics of organizational objectives, which are either quantitative (i.e., Reduce operating costs) or qualitative (i.e., Improve service quality). This, in turn, makes it easy for an organization to assign KPIs to desired business objectives in a concentrated effort of monitoring the high-level strategies or the company’s follow-through on its strategic themes.
Some say when you fail to plan, then you plan to fail. This is the reason why you should establish a solid strategic planning process for your company. But strategic planning won’t succeed without the right data. Data gathering may sound simple, but you should not underestimate it. Why does it matter and how should you gather your company’s performance data?
Performance monitoring is a systematic process taken by the management in order to track the company’s performance and drive results and continuous growth. Performance monitoring could also send signals to top management which part of their business operations are failing or working below expectancy. This process plays an important part in the strategic planning initiative.
In order to successfully monitor company performance, the management should be able to gather corporate performance data swimmingly.
Data Gathering
Data gathering in general should start with KPI activation. This KPI activation consists of four different steps: meeting with the data custodians, securing the activation budget, designing the data gathering template, and communicating the template to the data custodians. KPI activation is a step that allows management to develop infrastructure for capturing and managing data.
After KPI activation is done, the next step is the ongoing data gathering process. This is where the management or the performance management team sends the KPI data gathering notification to the KPI custodians and receives the data relevant to performance monitoring. For this step, it is imperative for the performance management team to gathers and centralize the relevant data before checking the data quality.
After sending the KPI data gathering notification, the management or the performance management team could also send the KPI custodians a reminder via email to make sure the data custodians prepare the data needed.
Once the relevant data is gathered, the performance team should check the quality of the data before calculating the KPI results and analyzing the data. The quality of the data should be checked based on multiple dimensions.The main dimensions are Accuracy, Completeness, Consistency, Conformity, Timeliness, and Uniqueness. In reality, the performance management team may find the relevant data does not meet those requirements/quality. When the data does not meet a certain quality, it is preferred for the top management or the performance management team to clarify the data to the data custodians.
Data analysis is a set of processes of examining, transforming, and modeling data to generate relevant business insights that can be used in the decision-making process. In analyzing KPI results, the performance team should use analytics.
The final step of data gathering is to generate a performance report. In this phase, data custodians, the report generator, and the strategy performance team are collectively responsible for compiling all performance results, business insights, and analysis in a certain format for the decision-makers.
In conclusion, a solid data gathering enables decision-makers to set the right company’s objectives for the next period. A solid data-gathering process will help the performance management team provide the performance report required by the top management faster, making the top management adjust the company’s strategy and objectives properly. If you want to learn more about how you could establish a solid data gathering process, sign up for The KPI Institute’s Certified KPI Professional and Practitioner course.
A well-functioning KPI measurement framework is more important then ever. In the fast-changing post-COVID-19 environment, organizations without a well-designed performance management system are not able to collect data-driven and real-time feedback, which is more important than ever because organizations need to make quick decisions as they respond to new challenges.
Organizations with no formal KPI measurement framework in place might consider implementing KPIs, and thisprocessstarts with a KPI implementation project plan.
The importance of a KPI implementation project plan
A KPI implementation project plan provides a structure for the implementation of an organization’s performance management system. Once the project plan is set, all types of activities would have a clear deadline and designated responsibilities.
Because a KPI implementation plan lays out all pertinent details, it promotes effective communication among the stakeholders of the project and reduces the impact of the project implementation gaps. Some of these gaps are the lack of buy-in from key stakeholders, unrealistic deliverables, and the inefficient assessment of organizational resources.
A good plan also serves as a compass for employees and other stakeholders in uncertain times because it guides stakeholders/employees towards reaching the strategic objectives of the organization.
Project planstages
The most common elements of a KPI implementation project plan are key activities, deadline, responsibility, status, and comments.
A KPI implementation project plan must be aligned to the organizational strategy and objectives. Before the implementation starts, a meeting with the stakeholders of the project should be organized to discuss their expectations and make sure that everybody is on the same page. After the plan is developed by the project team incoordination withthe project manager, the resource assessment of the project needs to be created. Then, another meeting withall employees is necessary in order to share the vision and benefits of such a project and delineatethe first tasks to be finalized.
The second phase is the actual implementation of the performance management system. Start with proper training for the stakeholders to establish a common languageand to avoid any misunderstanding. The appropriate KPIs should be selectedin a KPI selection workshop. Then, they should bedocumented using a pre-defined, standardized template. Moreover, the data should be gathered and reported by the data custodians. The report should be presented with good visuals that are easy to interpret. Thiswill help ensure a clear and effective decision-making process.
During the post implementation assessment phase, aperformance review meeting should be conducted to gather feedback from internal stakeholders and analyze the situation and the progress of the result. It is also important to evaluate the possible corrective actions to be addressed in the performance management system.
KPI implementation project plan example:
Conclusion
In order to arrive at the benefits of a well-functioning KPI management system, companies need to understand how to efficiently implement it and to ensure that all employees have a clear picture of the whole system.
One way to understand consumer behavior is to reflect on how nature works. Studies show that birds have been evolving for a long time now: They grow bigger beaks and longer legs. This phenomenon, described as shapeshifting, occurs because animals are adapting to climate change.
How consumers behave is not that different.
Consumers’ needs, concerns, habits, and preferences evolve. They respond to new technologies, new cultures, or crises like the pandemic.Developing a customer service strategy that addresses those changes is not always black and white.
Change may come with different layers. For instance, in this pandemic, people have to distance themselves from crowds, but at the same time, they are more “connected” than ever before.
PwC’s Global Consumer Insights Pulse Survey in June 2021 shows that in six months, from October 2020 to March 2021, over 50% of the global consumers they surveyed have become more digital. While that suggests less interaction, a meaningful connection somewhere in the transition emerged. Forty-three percent of the respondents have started exploring what their respective regions offer, appreciating local products, and valuing their community more.
Beyond consumer behavior
Consumer behavior refers to how consumers evaluate, choose, buy, and use products and services. As consumers adapt to the changes in their environment, companies are compelled to rethink how they approach customers. However, as consumer behavior trends witness new changes, a one-size-fits-all strategy remains elusive.
The reopening of retail stores in some places and other signs of a return to normalcy could rev up consumer confidence. Or not. Businesses must consider areas where unemployment is high, the ability of the government to minimize the risk of case surges, and how consumers now view and manage their finances.
For the consumers and the businesses, the trends are not just about behavior and how it leads to new systems and strategies. What lies behind these changes is the consumer’s attitude.
Consumer attitudes refer to consumers’ beliefs about, feelings about, and behavioral intentions toward some object. This object could be a product, service, brand, or any area of consumption. Attitude is what drives a consumer’s purchasing decision.
The PwC survey revealed that 50% of the global consumers they asked prefer eco-friendly products, while at-home consumers have become “more environmentally sensitive” than those working away from home. Understanding consumers’ emerging principles, such as sustainability and localism, can affect how customer service agents represent their companies.
The effects of empathy
From financial difficulties to social awareness, the reasons for how consumers behave, think, and feel today call for more flexible, empathetic customer service.
PV Kannan, CEO and co-founder of customer experience software and services company [24]7.ai, wrote that how the pandemic changed customer service reflects the challenges and difficulties consumers are facing. Some customers ask for extensions on payments, while some request faster delivery of their packages.
Kannan calls on companies to show more empathy, not just because it is a good thing. “If there’s one big lesson we’ve learned, it’s that caring for your customers is good for business,” he wrote.
He made a good point. An empathetic customer service strategy can increase customer satisfaction, loyalty, and revenue. A study published in The Association for Consumer Research affirmed the link between customer satisfaction and a customer’s willingness to pay. Customer experience data suggest that organizations who invest heavily in customer service systems with a human approach experience business growth.
Monitoring customer service capabilities
How will a company know that empathy is working for the business and its customers at the same time?
Empathy can’t be directly quantified. But using key performance indicators (KPI) can help organizations assess and monitor their customer service capabilities.
The KPI Institute has launched The Top 25 Customer Service KPIs – 2020 Extended Edition, which presents the most viewed customer service KPIs based on smartKPIs.com, a database of over 21,000 documented KPIs.
The report can guide organizations as they go through the process of determining the KPIs for their customer service departments. They would be able to further understand how KPIs can improve their performance measurement practices.
The Top 25 Customer Service KPIs reflect three categories.
Complaints handling: It offers an overview of the complaint management system and the ability to reduce customer dissatisfaction.
% Customer complaints due to poor service or product quality
# Complaints received
% Complaints resolved
# Frequency of customer complaints
% Customer satisfaction with complaints handling
# Time to resolve complaints
% Complaints responded to within a standard time
Customer interaction: It measures the ability to respond and solve clients’ requests.
Service responsiveness: It indicates how fast and efficiently a company responds to its customers.
# Speed of answer (SA)
# Call handling time
% Customer satisfaction with service levels
% Calls answered within service level time
# Longest call hold
% Customer calls answered in the first minute
# Pick-to-ship cycle time for customer orders
% Visit customers served within 3 minutes
% Call abandon rate
Time, context, and communication skills matter in the customer service process. While companies do not have complete control over the disruptions on consumer preferences and mindset, they can set up strategies, improve their performance, and streamline their processes to influence consumer journeys.
And it starts with knowing what works and what doesn’t.
The COVID-19 pandemic has left a strong mark in all aspects of our lives. It has impacted society – our habits, routines, and the way we interact. It has pressured the economy, its financial stability, and the way we do business.
Thus, what has changed in the way managers are doing performance management in these volatile times?
1. The way we do strategic planning
Before the pandemic, risk management, scenario planning, and business continuity plans were specific to large corporations. Nowadays, even small organizations will have a plan B ready for different scenarios of the COVID-19 evolution. There are industries, like retail, where all planning revolves around foresting based on historical data. Nowadays, using data from the past to plan the future seems a futile attempt to regain the feeling of control.
Moreover, most organizations, regardless of their industry, rely on annual if not 3 to 5 years planning. It is obvious that in the present circumstances and given the complexity of managing a business nowadays, these strategic planning practices seem useless.
2. The importance given to performance measurement
More than ever before, real-time data is a vital management tool. Access to data is critical in managing a crisis. One of the positive side effects of the pandemic was the pressure to digitize operations that create opportunities for data collection and better measurement of operations.
3. The way employees can be evaluated
Remote work and hybrid systems (combining work from home with office time) are no novelty, but in the COVID-19 circumstances, they gained significant recognition and became the norm rather than the exception for many organizations.
Managers and team leaders can no longer directly observe employees. There is a series of soft competencies, like communication, collaboration, proactivity, and creativity that are very difficult to evaluate in an online working environment, and yet they are essential skills for many jobs.
What is the way forward?
1. A different way of planning
Risk management must be an inherent part of organizational strategy, regardless of the company size. You don’t need a risk management office to have a proactive management approach and handle risks well. Small organizations can use their performance scorecard and populate it with leading KPIs or Key Risk Indicators.
For example, setting a red line level for # Days in accounts receivable can help you manage better cash flow, monitoring # Safety non-compliances can provide insights into the risk exposure to # Work accidents resulting in mortality. Identifying different scenarios in key areas of business and having contingency plans can give any organization a heads-up in case of a crisis.
Strategic planning must concentrate on shorter time horizons and reassess a series of factors that organizations may not have considered on a quarterly basis.
Government interventions, international economic context, competitors’ reactions, customers’ preferences, customers buying power, suppliers’ situations, internal capabilities and optimization potential, and employees morale and productivity are factors that have changed post-pandemic and need to be investigated. Moreover, agile strategic planning processes must be set in place to enable the organizations to react fast to changes.
In the face of chaos, the most effective tool to put everyone on the same page is to use clear objectives, KPIs, and initiatives, even short-term ones. The challenge is to adapt the measuring and reporting of performance to respond to tight deadlines. Data must be available fast, preferably in real time.
Thus, identify five to 10 KPIs that are easy to use, concise (tackle the problem directly), and can be collected with high frequency (weekly, monthly). These will be the ones that help you navigate a crisis. Now is the time to replace complex measurements and reports with simple yet relevant tools.
In the medium term, most likely for many organizations, the entire strategy must be reconsidered and linked to relevant performance scorecards in which simple measurements can be combined with more complex KPIs to provide a holistic overview of performance.
3. Focus on building the right mindset for each job than defining the specific job outputs
Many organizations invest a significant amount of time in identifying the right KPIs and targets to capture as precisely as possible the employee’s performance or productivity. Moreover, the more complex the job is, the more difficult it is to capture all contributions in relevant KPIs. In a volatile business environment, such an approach makes targets and KPIs obsolete the moment they are communicated.
The performance criteria used for employee evaluations should be flexible, easy to adapt and more focused on the extent to which the role is successfully achieved, as compared to looking at operational details. For example, it should be less important if the employee delivered one or three safety awareness sessions to factory workers if their awareness level is at the desired level.
One methodology that can be used at the employee level is the Objectives and Key Results Framework. OKRs are set and reviewed quarterly, but they can be changed even more often if the result set is no longer of interest. They emphasize on the importance of personalizing the objectives and key results and making the employee accountable for setting and monitoring them. Not all key results have to be KPIs; some of them can be reflected by completing an initiative or other types of results.
The end purpose of an OKRs system is not to compare employees or indicate what percentage of your staff are high performers. This methodology aims to facilitate communication, clarify expectations, align work activities to corporate strategy, and to provide a tool for managers and employees for discussing individual performance and improvement opportunities.
