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Lean Startup
Published in Yves Caseau, The Lean Approach to Digital Transformation, 2022
The most commonly used metrics for growth hacking are the AARRR (acquisition, activation, retention, referral, revenue) metrics, also known as pirate metrics. There is an implicit order that corresponds to the customer life cycle: Acquisition measures the number of leads that come to the product or service. Activation measures the number of customers who have become active (completed their enrollment process). Retention measures how many customers leave or stop using the service after a certain amount of time. Good practice is to do a cohort analysis (grouping together users who activated at the same time) so that the attrition rate (called churn rate) is more meaningful, based on the customer’s lifetime. Referral metrics are used to evaluate virality (i.e., the propensity of users to recommend the service or product). Finally, revenue metrics measure revenue creation. In the logic of the lean process, the metric that receives the most attention is retention, which is obviously linked to user satisfaction. The first step is usually to check that the onboarding process is working, which is measured by the activation/acquisition rate. The second step is to make sure that the customer is creating value, which is measured, among other things, by the retention rates. Only then can we work to promote the virality of the product.
Research Methods
Published in Nancy J. Stone, Chaparro Alex, Joseph R. Keebler, Barbara S. Chaparro, Daniel S. McConnell, Introduction to Human Factors, 2017
Nancy J. Stone, Chaparro Alex, Joseph R. Keebler, Barbara S. Chaparro, Daniel S. McConnell
Because we are often restricted by who is available to participate in our research, it is important to consider different types of samples. A stratified sample attempts to collect data from various subgroups of the population, such as men and women or people of different racial groups, whereby the sample contains subsamples that represent the same proportion of individuals as found within the population. A cohort sample would contain people born in a similar time period, such as the “baby boomers” who were born between 1946 and 1964. Finally, a convenience sample, as the name implies, means that the sample is selected because the participants are readily accessible to the researcher and little or no attempt is made to ensure the sample is representative of the population.
The essence of R in head and neck cancer
Published in Ruijiang Li, Lei Xing, Sandy Napel, Daniel L. Rubin, Radiomics and Radiogenomics, 2019
Hesham Elhalawani, Arvind Rao, Clifton D. Fuller
In spite of some promising results in head and neck cancer studies, most of these studies were subject to the usual constraints owing to their retrospective nature, hindering reproducibility. These include, but are not limited to, small clinically heterogeneous patient cohorts, and many confounding variables, lack of external validation, among others. This further imposes critical barriers to progress in integration of biomarkers development and validation, both in research and clinical settings.
Injury control: using novel analytic methods to enhance advocacy and policy response
Published in International Journal of Injury Control and Safety Promotion, 2018
Some of the modern statistical and analytical methods that have been used recently include video data analysis, age-period-cohort modelling, spatial regression modelling, geographical information systems (GIS)-based spatial analytical methods and social network analysis (Li & Baker, 2012). Video data analysis, for example, has the advantage of data collection accuracy associated with events that occur in a fraction of a second and may thus be inaccurately captured by the injured individual or an observer such as a rupture of the anterior cruciate ligament during a sporting event. Caswell, Lincoln, Almquist, Dunn, and Hinton (2012) used video data analysis of injury data to provide an objective and comprehensive identification of the mechanisms of injury as well as game characteristics associated with head injuries in girls’ high school lacrosse. Play at the goal area was found to be associated with increased head injuries at the varsity high school level, suggesting the need to review and possibly increase penalty calls during these situations. The age-period-cohort analysis is also an analytic tool that is used to partition trends into components that are associated with changes over time within a given age structure of the population, time period and birth cohort. It can be a useful analytical method to uncover hidden patterns in rates over time in order to inform targeted intervention programmes in specific demographic groups like the opioid epidemic (Huang, Keyes, & Li, 2018).