Chapter 17 Case Study

Peloton plays an essential role in the maintenance of fitness for individuals. It is vital to
acknowledge that Peloton’s main aim is to replicate the fitness found in boutique classes in the
homes of different individuals. Notably, Peloton is concerned with its customers’ experience,
which is why their bikes have unique features. Remarkably, the unique features help Peloton
collect vast data about the customers’ experience. One of the types of data collected is the type of
songs that the riders like (Chapter Seventeen Case, n.d). It is vital to acknowledge that different
riders have different tastes and preferences when it comes to music. Notably, the riders often
play different types of music, some of which are relaxing as some customers view riding bikes as
a recreational activity.
Additionally, Peloton company can obtain data about the preferred instructors. Different
customers bond with different instructors, and it is human nature that some people like other
individuals more even though they have not irritated them. Peloton can use this data to establish
the level of compatibility of the instructors and the customers and assign the instructors to
customers who like them. The other type of data that Peloton can obtain from its customers is the
type of workout they are attracted to (Chapter Seventeen Case, n.d). It is vital to acknowledge
that there are some types of workouts that customers shy away from because of their hectic
nature. A pattern is always formed based on the types of workouts liked by customers. Also, the
company can obtain information about the ratings customers give the individual classes. The
ratings are vital as they point to areas that require improvement.
Question 2

Based on the data presented in Question 1, Peloton can answer different types of business
questions. One of the questions that Peloton can answer is which type of music is played by
customers when riding. It is vital to acknowledge that Peloton can provide an answer to this
question because it has the data about the music mostly played by its customers. Notably, based
on the tastes of the customers, the type of music played may be different. The other question that
Peloton can answer is who is the most liked instructor by customers (Chapter Seventeen Case,
n.d). During fitness sessions, customers are often under the guidance of instructors. Notably, the
instructors are assigned customers to train and based on the reactions of the customers. It is
possible to determine the instructors that customers like. In fact, in some cases, some customers
may decline to train when their preferred instructor is unavailable.
Additionally, Peloton can have answers to the question about the most preferred type of
workout among customers. Based on the database that Peloton has about the fitness classes, it is
possible to group the data on the basis of types of workouts. With such a grouping, it is possible
to establish the number of customers that like a particular type of workout. Remarkably, the
above information is essential in the determination of the areas which need improvement to make
the workouts appealing to more customers. The other question that Peloton can answer is which
is the highly-rated fitness class. Based on the ratings customers give individual classes, Peloton
is in a position to establish the best performing class and the factors that are responsible for such
exemplary performance.

Reference
Chapter Seventeen Case (n.d). Fitness as a service.