A lot of customer text data you want to analyze comes in CSV format. Free form responses in NPS, CSAT, and in-app surveys, as well as product reviews are some examples.
CSV documents, however, don’t all come formatted in the same way.
To speed up CSV data ingestion so you can start asking questions faster, here are tips for formatting the data before you send it our way.
Download sample CSV template.
Data sent to us for ingestion should have rows of entries with the following columns:
Any customer segmentation data for respondents. Some examples include:
Any metadata that applies to the textual comment itself. Some examples include:
The ID of the piece of data from the source tool, i.e. the ID of a Zendesk ticket or Delighted survey.
The Comment column is where free text data will be captured. It doesn’t have to be labeled Comment specifically but it should be labeled the way you’d like to see it appear in Viable.
These are some of the acceptable timestamp formats:
The Unique ID column should include the end user’s email address, user ID, or other unique identifier if applicable. If no unique user identifier is available, we’ll associate the data to a uniquely identifiable Anonymous user.
Customer traits and metadata should be formatted similarly to each other by labeling the column as the type of trait or metadata (e.g. CSAT Score, NPS, Location, Age), the way you’d want to see it in Viable; that is how it'll show up as filters in Viable. For example, a location trait column should be labeled Location rather than user_geo_listed.
The cleaner the column header in the CSV, the cleaner it will appear in Viable.
Data within a trait or metadata cell: if a cell contains more than one trait or metadata value (e.g. “design system, Figma, Jira” for metadata column Tags), these values should be separated by a comma.
Download sample CSV template from this Google Sheet file. To download as a CSV file, go to File >> Download >> Comma-separated values (.csv, current sheet)
Last Updated: 04/19/21
Appbot Zap for Viable
You can instantly analyze user reviews posted via Appbot by sending those reviews to Viable through Zapier. Choose Appbot as the trigger >> app event Then choose New Review as the trigger event Click Continue and then click to sign in to your Appbot account Under Set up trigger , select the …
How we handle customer feedback data
At Viable, we save you time and effort by automating the manual and time-consuming tasks of tagging and structuring qualitative customer feedback for analysis. We do this by connecting to popular data sources such as helpdesk platforms, survey tools, product review apps, and spreadsheets. Synching …
Viable adheres to best practice standards for ingesting, handling and protecting data as well as responding to vulnerabilities or incidents. Our goal is to ensure a high level of security for our customer data as well as our own. PostgreSQL, with AES-256 at rest encryption. Hasura is what we use to …