Category Fields for Content Inventories, Audits, & other Analysis
Field Type: Category
Categorization is essential for content analysis. Some of the uses include:
- Seeing the pervasiveness of something, such as average reading level by site section. If we have two categories, then we can slice two ways (such as reading levels by content type and site section).
- Categories are often useful for making decisions about content (such as deciding to delete all blog posts on a site that are over some age)
- Sometimes categories are one of the main things we are anayzing, for instance to understand on a currently-unstructured site the pervasiveness of certain metadata values by content type
If we take the traditional view of a content inventory or audit, we have rows representing each page (so each row has a unique URL) and then we have columns for things like the meta description or crawl depth. These columns are the different fields we have available to us in our content analysis.
①. Define what you are trying to accomplish.
Your content analysis needs to be grounded on your analyze goal.
②. Define your analysis approach.
Size and complexity of your digital presence
Your approach
Content analysis does not necessarily mean opening up a spreadsheet. Before diving in, you should define your basic approach to the analysis.
③. Select fields toward your goal, grounded in your prioritized list of questions you want answered.
Although you can use this database however you like, in general we recommend that you build up a list of fields that will be useful for your analysis. To do so, just click on the heart next to any field name. After you have hearted some fields, you can see an analysis of your list at My List ♥ (at which point you can move to ④. Start iterating on your analysis, starting with the basics).
Legend
General usefulness is a blend of the difficulty in getting the value and how useful it is once you have it. These stars roughly correspond to:
- ★★★ Broadly Useful. These would be worth including a most analyses.
- ★★ Frequently useful for particular needs. These may not be quite as broadly useful, but they are frequently useful. Notably, if you have a general reason for a field that is rated two stars then you may wish to go to the category and look for others that may be slightly more useful.
- ★ Rarely useful. These are listed since they still have a "following" or because they are easy to implement so are tempting to rely upon. Your mileage of course may vary, but in general these are less useful fields.
Ease of automation is how easy it is to get the value:
- ⚙⚙⚙⚙ Easy to automate. Completely point-and-shoot automation (although, of course, there can be exceptions to when some information is more difficult to extract than it should be).
- ⚙⚙⚙ Relatively easy to automate. With the right tool, this can almost certainly be automated with very limited configuration (not requiring deep technical knowledge).
- ⚙⚙ Can probably be automated. With the right tool and some technical ability and/or time to configure (for instance, providing xpath and regex information to select content out of a page) this can probably be automated. But it probably is not just clicking a single button to set up and run (unlike the three and four gears items).
- ⚙ Very difficult to automate. This almost certainly requires manual intervention. Note: there is a technique that can be applied in many cases to sample and then use rules and repeat.
Obviously all of the above is ratings in the general case. You may have particular needs for fields that are generally not useful, and you may already have some clean data that makes automation trivial for some elements that are more generally difficult.