Radio Questionnaire

For the radio questionnaire task, I wanted to find out what stations people listened to the most, what time of day they listen to them and where they listen to them. I created a survey using Google Sheets which is an online piece of software I have not used before. However I found it very useful as it was quick and easy to make a survey that could be both sent to people online and printed. I gave the survey to 20 people, I purposely gave them to a wide range of ages and backgrounds so that the results would be fair and give a reliable result.

Once I had received the responses, I used Microsoft Excel to insert the statistics and create pie charts from them. I found the results very interesting and in some cases very predictable but in others not. When I come to make a radio broadcast, I will remember this information as it may change what is played over the air, e.g. most people listen to the radio in the car so I would not use siren noises in case it confused drivers. The results are posted in the pictures below.
We also decided to look at gender and age, as a team we all were the same age and was a mix of gender with 3 boys and 1 girl. We wanted to make sure we understood what differences there were between interests from girls and boys and so we separated the responses and found a key difference being which radio station they listen too, we found more boys listened to Radio 1 than girls and more girls listened to Capital, although both have similar target audiences, this is interesting and can make us consider why there are differences, possibly the slight difference in music or maybe the more chat shows featured on Radio 1. We will remember this when creating and targeting our own station because we will not want to isolate one gender and instead create a product equally aimed at both genders.

We also made sure we looked at age, the obvious difference here found was what the radio was listened too, older people listened more in the day and also a big difference was the choice of radio station. Although it may seem obvious, we wanted to challenge the idea of Radio 2 being listened to more by older people than young. However, from our research we found this was the case and there seem to be heavy links between age of listeners and age of music played as well as the age of the DJ. As young people ourselves, this therefore means a youth based radio station could be well suited for us to create.