Note: this is a retired feature and is only accessible in missions + screeners created prior to June 14th, 2021. For information on our latest tagging feature, click here.
When analyzing your Diary mission, you may choose to tag your entries. Tags are labels for identifying themes and/or keywords that are relevant to your project. These tags are shared across your team but are not viewable by scouts. They're super handy for analysis as you're able to sort entries using the "tags" filter.
The way you build a tag list and sort your data using filters will be different for every project. In the mission below, tags have been organized into 5 different tag groups (action, cash flow, goal, tool, & ungrouped) to help keep everything organized. Click the links below to learn more about using tags:
When viewing an entry, you'll see a tagging tab on the right side of the screen. Here you can add new tags or select from an existing tag list. To create a tag group, click "New Tag Group." To create a new tag within a tag group, click the blue plus sign to the right of the tag group you want your tag to be a part of.
Editing and deleting tags
To edit a tag across all entries in your mission, click the pencil icon next to the tag to bring up the tag preferences window. To delete a tag from an individual entry, just unselect the tag in that entry. To delete a tag across all entries in your mission, click the trash icon next to the tag.
Auto-tags are tags associated with keywords you’ve chosen. Any entry with that keyword in your mission will automatically have the tag applied to it. To make any tag an auto-tag, first create the tag, then roll over it and click on the gear icon. You can then input a list of keywords separated by commas.
When you create an auto-tag, any existing entry with the corresponding keywords will be tagged, as well as any new entries that come into the mission later. If you edit the auto-tag by adding or removing keywords, entries will automatically be updated to add or remove the auto-tag as well.
To see how dscout analyzes data (hint: we use tags!), take a look at our best practices guide.