You can include key user feedback gathered from Dscout surveys to your project in Marvin.

Dscout allows you to export survey data in CSV files. Follow the steps in this article to upload these files to a project.

Please navigate to the project to which you want to add a survey.

You’ll see guidelines on how to prepare your CSV for upload. Once the file is correctly formatted, click ‘Browse file’ and upload it from your computer.

All the data you import from a survey is segmented into three parts:

Participants names and email addresses are participant data. Marvin will auto-detect which column to read as participant data.

These participants will not automatically be added to your research panel at the time of import. However, you can choose to add them once you have completed the upload. You'll see this option on the page where you can access the data.

Let Marvin know which questions in the survey are open-ended. Choose the questions that have qualitative data. These answers are subjective and are usually unique to each participant.

All the remaining questions or columns will be imported as survey metadata. This is usually quantitative data. You can filter by metadata while analyzing the survey.

Once you’ve segmented your survey responses, you’ll see a confirmation screen. Click ‘Confirm import’ to go ahead.

Marvin presents all the survey data in two tabs – Summary and Raw data.

You’ll see all the data grouped by question in the Summary tab.

In this tab, you’ll see the responses grouped by participant and in tabular format.

Filtering and analyzing the survey

You have a few options to filter and analyze the survey data.

Click the drop down menu against ‘Filter responses by’ to see filters for individual questions. You can choose to view data of specific responses to questions. You can apply multiple filters here. For example, you can focus on a data set of users who ‘Use your product twice a week’ and are ‘Windows users’.

Marvin can present all the metadata or quantitative data in a bar graph or pie chart (or notes in case of open-ended questions) when you click ‘Raw Data.’ You'll see the open-ended responses or qualitative data as notes in case of open-ended questions. You can use these notes for analysis and cross-project analysis.

You’ll also have an option to add a survey question as a field to the research panel.

To derive insights, type in any questions and prompts into the Ask AI field. Marvin’s AI can identify trends, patterns and outliers. Use it to speed up your analysis, focus on specific questions or participants, and surface hard-to-identify insights.