First, ask yourself what it is that you want to achieve. Input . Individual tasks funded by projects or programs. For size measures, we often go for a simple measure such as the total person day planned effort. Quantitative measurements are those that deal with a quantity, for example: Mass of as sample Length of a piece of wire Molecules in a mole Volume of a gas Temperature of a sample These types of measurements are called Extensive. For example, the number of people who download a particular application from the App Store. For example, X employee: wrote Y blog posts in a month; produced Y product units in an hour; made Y sales calls in a week; answered Y customer support tickets in a day; Those calculations are a good start. Performance measurement is generally defined as regular measurement of outcomes and results, which generates reliable data on the effectiveness and efficiency of programs. Financial Metrics. Example. It is important to use a data collection method that will help answer your research question(s). Quantitative data is a bit like a countable noun. Sternberg and Williams (1997) examined the uses of the GRE to admit students to graduate school. Companies must set up reliable methods to measure the success of their different business initiatives or marketing campaigns. It utilizes the responses of a sample of ninety-five (95) experienced maintenance managers to identify the most relevant maintenance performance measures. Activity . Well yes, and no. You create a survey to measure the regularity of people’s dietary habits. Those outcomes are hard to measure. Here, we will be considering the quantitative performance measures only. We've broken down our list of KPIs into the four categories of the Balanced Scorecard: Financial, Customer, Process and People. Many organizations view employees’ “soft skills” as the biggest contributors to non-financial performance, which can be measured in various ways. We want to be a top place to work. The anatomy of a structured KPI includes: A Measure – Every KPI must have a measure. In the field of statistics, we distinguish two types of quantitative variables: continuous and discrete. Churn Rate . Measurements A measurement of something physical. Ideally, the measures will be quantitative, mission oriented, relevant, informative, and not rigidly adhere to the narrowest possible interpretation of definitions in requirements documents. It is often compared to qualitative data that includes information expressed in a natural language such as English or Japanese. They are the quantifiable, outcome-based statements you’ll use to measure if you’re on track to meet your goals or objectives. Quantitative analysis helps in evaluating performance, assessing financial instruments, and making predictions. Yes or no questions or asking attendees to rate their satisfaction for different components of the event will allow you gather comparable figures. Quantitative data is any data that is in numerical form. But, they don’t tell the whole story. Make sure you select a few from each category so that your strategy is well balanced across the organization. The most common types of quantitative data are as below: Counter: Count equated with entities. Marketing metrics measure the effectiveness of advertising, promotion, pricing, branding and product development. Through quantitative research we seek to understand the relationships between variables. Key terms: testing, measurement, objectivity, replicability: Key terms: understanding, context, complexity, subjectivity: Data collection methods. In our experience, this works pretty well, because the planned effort considers both the “size” and “complexity” of projects.