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Define your operational goals
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Choose your key performance indicators
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Collect and analyze your data
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Communicate and act on your results
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Here’s what else to consider
Operational performance is the degree to which a business achieves its goals and objectives in terms of efficiency, effectiveness, and quality. Measuring operational performance can help a business identify strengths, weaknesses, opportunities, and threats, and improve its processes, products, and services. However, measuring operational performance is not a simple task, as it involves selecting relevant indicators, collecting and analyzing data, and communicating the results. In this article, we will discuss some effective ways to measure operational performance, and how they can benefit your business.
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1 Define your operational goals
The first step to measure operational performance is to define your operational goals, which are the specific and measurable outcomes that you want to achieve in your business operations. Your operational goals should align with your strategic vision, mission, and values, and reflect your customer needs and expectations. For example, your operational goals could be to reduce costs, increase productivity, improve quality, enhance customer satisfaction, or comply with regulations. You should also set targets and deadlines for your operational goals, and assign responsibilities and accountabilities to your team members.
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Goal setting is paramount when it comes to wanting to add results within your organization. Where do you want to be in the short term? In the long term? And, how will you get there? What has helped me in this case from a business perspective is to clearly define a company's mission, vision, and set of core values and define clear and impactful goals around those areas. What are you wanting to achieve? A certain revenue? Cutting back on operational costs? Implementing a streamlined process? Think about those when creating and defining goals.
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2 Choose your key performance indicators
The next step to measure operational performance is to choose your key performance indicators (KPIs), which are the metrics that track and evaluate how well you are achieving your operational goals. Your KPIs should be relevant, specific, measurable, attainable, realistic, and timely (SMART), and cover the critical aspects of your business operations, such as financial, operational, customer, and employee performance. For example, some common KPIs for operational performance are revenue, profit margin, inventory turnover, cycle time, defect rate, customer retention, and employee engagement. You should also establish benchmarks and standards for your KPIs, and compare them with your competitors or industry best practices.
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KPIs should reflect objective performance - howsoever every activity cannot be quantified. This non recognition of effort hours in qualitative work needs to be appreciated through peer evaluation , manager feedback , customer feedback and should have a decent percentile representation during annual assessment.
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3 Collect and analyze your data
The third step to measure operational performance is to collect and analyze your data, which are the information and evidence that support your KPIs. You should collect your data from reliable and valid sources, such as internal records, surveys, feedback, audits, or observations. You should also use appropriate tools and methods to analyze your data, such as charts, graphs, tables, dashboards, or software. You should look for patterns, trends, gaps, and anomalies in your data, and interpret them in relation to your operational goals and KPIs. You should also verify and validate your data, and ensure its accuracy, completeness, and consistency.
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4 Communicate and act on your results
The final step to measure operational performance is to communicate and act on your results, which are the findings and recommendations that emerge from your data analysis. You should communicate your results to your stakeholders, such as managers, employees, customers, or investors, in a clear, concise, and compelling way. You should use visual aids, such as graphs, charts, or diagrams, to illustrate your results, and highlight the key insights, achievements, and challenges. You should also explain the implications and consequences of your results, and propose action plans and solutions to improve your operational performance. You should also monitor and evaluate the impact of your actions, and adjust them as needed.
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5 Here’s what else to consider
This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?
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Predictive Measurements vs. ReactiveUse data effectively to model, forecast and predict operational performance. This will bring early warning signals, surface constraints and help in creating corrective actions early. Move from doing post mortem to being proactive. Example1: to reduce employee attrition due to skill mismatch, create model using past data around demographics of employees, reasons for leaving and job roles with highest exits. Example2: Identify staffing needs by predicting customer contact volumes.
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Flexi ops charter needs to be enforced to avoid bureaucracy of processes and policies . Weekly assessment in exceptions to meet ops needs need to be discussed and celebrated if it kept even one customer extra happy ! Too many SOPs have stifled best companies .
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