Profiling Analysis
Introduction
The focus of user profiling is to capture and analyse qualitative and quantitative data. The qualitative data is important in identifying and extracting trends or themes.
Analyse interview and focus group data
The following is a list of things to extract and create groups of related data.
Some examples of useful groups are:
- issues,
- user language and terminology,
- user preferences for information sources,
- problems,
- methods for finding information,
- popularity of issues, topics, features, and
- likes and dislikes.
Analyse survey data
The following steps will help in analysing survey data
| Step | Action |
|---|---|
| 1. | Enter all numerical data into a spreadsheet, word processing program or analysis tool of your choice. Note: It is possible to automate the data capture by using a web-based survey. |
| 2. | Produce frequencies for responses to all quantitative or numerical questions. |
| 3. | Examine whether there are differences in responses between common categories. Examples: men and women, younger and older users. Examining these differences will provide important insights into key issues of your target audience. |
Correlations and trends
When analysing the data, look for general patterns and differences in patterns within the user group based on the following criteria:
- age,
Example: Sometimes it is found that differences are more pronounced for older age categories. - gender,
- employment,
Examples: occupation, position, experience, full or part-time. - non-English speaking background (NESB),
- computer and internet usage, and
- factual information.
Examples: user familiarity with the structure of government departments, frequency of use of information.
Contact for information on this page: nsip@finance.gov.au