Research Data

Broadly, research can be divided into two categories: Primary and Secondary research
Primary research is research you collected yourself (surveys, interviews etc...)
Secondary research is research collected by someone else (internet searches, books, journals etc...)

Qualitative: Typically descriptive, in-depth data used to find out how people think about a given product.
Quantitative: Data that can be measured numerically (e.g. the number of people who watch a given TV show).

Qualitative Date: Questions that allow people to write extended responses. This type of data can be used to identify likes and dislikes, trends etc...
Open-ended questioning.

Quantitative data: Closed questions, typically in the yes/no, tick-this-box form of response.
Can be easily transformed into graphs.

A common example of Quantitative data is the Likert Scale. This is a sliding scale enabling interviewees to rate their responses from (for example) strongly agree to strongly disagree.

You could conduct Market research through:
- Interviews
- Online Surveys
- Focus Groups (a group assembled to talk about a product before it is launched).

Audience feedback might be used to exploit a gap in the market, whereby a group of potential customers are identified who are not yet consuming the product.
Likewise, market possibilities might be identified for existing brands to expand- through a spin off, for example.

This graph can be used to create a new media product because the creator can see what age groups are more likely to view there product in the cinema, and which age group is more likely to view it somewhere else. This means if they wanted to make a film for 18-24 year olds, they would put it out in the cinema but also make it accessible widely elsewhere (Netflix, Amazon Movies etc...) as there wasn't necessarily a high numb of people visiting the cinema in recent times.