The new dscout Diary launched in Q4 of 2017. For a year, we worked on a new researcher experience. Projects are easier to run, conducting research and data analysis is faster.

Historically, a researcher created a project that was made out of one or more missions. Often researchers wanted scouts to go through distinct tasks, so they would accomplish this by creating multiple missions. Unfortunately, when researchers wanted to see all of their scouts response data across all missions, they couldn’t. Researchers had to access each mission separately and make sense of it all.

The new Diary allows for breaking up a mission with parts. Now researchers don’t have to create multiple missions because a mission can be divided up into parts. Researchers can access all scout data from their parts inside one mission.


  • Allow researchers to see all submissions data from their project contained in one place for easy comprehension and analysis


In the entries viewer, the default is the grid view. The grid view allows researchers to see submissions across all parts of their mission shaped as cards, with a thumbnail and submission details.

Multiple scout entries across one mission divided in eleven parts! All of the research in one place

You can sort results by scout name, date, part, or group.

Entries viewer: entries can be sorted by date, part, and scout

Researchers can leave notes as reminders or observations. As part of notes they can highlight text on the text submissions and transcripts. Researchers can access these notes easily on the sidebar.

Entries viewer: summary tab with mission notes toggled open

Researchers can leave comments on entries. Unlike entry notes, comments are seen by research participants—who can reply to them.

Entries viewer: summary tab with with mission comments toggled open

A unique and powerful feature dscout’s entries viewer is the capability of filtering participants responses by attributes such as demographics, or by answers to a question.

Entries viewer: filtering the entries view by close-ended answers

A researcher can also export data from the viewer. By clicking on the export icon on the sub-navigation, they’re prompted with a modal that lets them pick what kind of export they want, that being all entries media, or a csv of entry data for example.

PDF exports with entries data
Entries media and spreadsheet data exports

By navigating to the Summary tab in the Entries viewer, a researcher can see quantifiable data on participants’ demographics and answers to close-ended questions.

Summary view's charts for close-ended questions
Summary view's charts for close-ended questions
Summary view's charts for close-ended questions

By navigating to the Analysis tab, a researcher will see bubble charts that represent word frequency and parts of speech from open-ended scout responses.

The analysis view filtered by an open-ended question
The analysis view filtered by an open-ended question's adjectives

Lastly, the Map view is a visual of where scouts from a mission are located.

The map view