We've made a number of improvements to increase the amount of data, as well as the control you have, when exporting your study's results as a CSV.

Completion

There is a new completedAt column that records the timestamp that the user completed the study.

Secondary header row

The second row of all CSVs will now contain more information about the header columns. You can see the question text, choice text, or other relevant context all within the CSV — no need to swap back and forth between Sprig.

Attributes

Previously, all attributes were combined into one column, which required some Excel magic to separate into their own columns. Now, attributes will be split out into their own column, and you can select which set of attributes you'd like included in the CSV.

Themes

Like attributes, themes were combined into one column. Now, themes will also be split out into their own columns, and you can select which questions' themes you'd like included in the CSV.

Values and labels

Depending on your preferred analysis workflow, you can select whether you'd like the data for responses as columns that contain values, labels, or both.

If you select labels:

• Multiple Choice Single Select: One column will contain the text of the user's choice
• Multiple Choice Multiple Select: One column will contain a comma-separate list of all choices selected by the user
• Questions that contain themes: One column will contain a comma-separated list of all themes present in the user's response

If you select values:

• Multiple Choice Single Select: One column will contain the numeric value of the user's choice (e.g. if the user selected the 2nd option, the column will contain 2)
• Multiple Choice Multiple Select: One column will be created for every choice, containing a 1 if the user selected that choice
• Questions that contain themes: One column will be created for every theme, containing a 1 if the theme is present in the user's response

Other question types

Consent / Legal, Recorded Task, and Voice & Video questions will have their data broken out into separate columns (similar to the change made to attributes).

Today we're excited to release three new abilities for already-launched studies:

Unarchive
Archiving a study is no longer a permanent action. If you've accidentally archived a study, or want to bring it back into view, simply find the study and unarchive it.

Relaunch a completed study
Completed studies can now be un-completed and relaunched! If you'd like to continue a study that you marked as completed, or that automatically completed, simply adjust its Response Options to the new desired completion threshold (number of responses until completion) or completion date, and launch again for even more insights.

Question deletion post-launch
If you've already launched your study, but would like to delete a question, this option is now available to you. Note that deleting a question will delete its responses — so if you'd like to keep the response data, either export the study results before deleting, or keep the question around and bypass it via skip logic.

Attributes can now be managed within Sprig, just like Events! The new Data Hub page will let you view, edit, and archive your team's attributes.

Archive

Like events, attributes can be archived to remove them from view and pause tracking. Attributes can be archived (or unarchived) in bulk by selecting their checkboxes.

Search, sort, and filter

Search attributes by their name, display name, or description. You can also filter by source to view attributes from different code sources or that were created from CSV upload.

View details

Each attribute will show information around relevant studies that use it, usage, creation date, and other metadata.

Add display names and descriptions

Your team can now add display names to attributes, which will be shown across Sprig instead of the original key. This allows your team to set more descriptive or relevant names for all of your attributes – and because display names can be changed at any time (unlike the key), it will be easier to keep attributes names in sync with the product as changes are made.

Descriptions can also be used to add additional detail or context around the attribute.

We've introduced two new webhooks subscriptions for study sent and study seen. These new subscriptions join the existing ones (answer submitted, study submitted, theme identified, and study status changed).

To use these new Webhooks, open up the Webhooks options on the Connect page. To find out more, see our Docs

We've heard from some customers that the data they want was not available in their preferred export method, so we've brought all of our export methods to parity with each other. Now, you can get the same data in whichever way works best for your team: via our Export API, webhooks, Segment Stream, Zapier, or CSV. Read more in Docs.

Studies can now be duplicated between environments, so you can set up a study in Development, test it out, and then duplicate it to Production to launch it!

When studies are duplicated, all of the questions, as well as the platform setting, will be carried over to the duplicated study. You will still need to configure the Audience settings to select Triggers and Filters in your Production environment.

The latest Sprig solution Concept & Usability Testing enables you to test ideas, designs, and prototypes before building a product.

That means you can now use Sprig to:

• Embed multiple interactive Figma prototypes into a single Sprig test with just one click
• Ask users to complete recorded usability tasks and provide feedback via audio or video without downloading plugins or extensions
• Add an NDA for review and obtain consent from users before they start a test

Combined with the In-Product Surveys you know and love, your team can now research across the product development lifecycle. Take a stab at creating your own concept and usability tests or use one of our 14 new templates to explore what’s possible when testing with Sprig.

We're excited to announce a major revamp of our Template Gallery, which makes it quick and easy to see what’s possible within the Sprig platform. The new experience organizes templates by use case, enables searching for specific templates using keywords, and allows you to preview templates at the question-level prior to selecting it.

We've made two improvements to Attributes that give you more options and control when determining who receives a study (or who belongs in a Group!) based on user attributes.

New filter operators

In addition to the existing comparison operators (equal, greater than, etc), there are a new set of string (text) operators: contains, does not contain, starts with, and ends with. These are case-insensitive and can be used on any Attribute. For example, you can now easily create a Group of all internal employees:

This Group can be used to exclude studies from being shown to internal users, or as a way to test your studies on Production with fellow teammates before launching.

Removal of 100-value limit

Previously, Attributes were restricted to 100 discrete values, and any Attributes that had more than 100 values were automatically removed. We've been hard at work to remove this limitation and now proudly support any number of values for an Attribute!

With our new visually-redesigned filter dropdowns, it's easier than ever to find the right trigger or filter for your study!

You can easily view and search through your Events, Attributes, and Groups — and a beautiful new popover shows relevant information like description and usage for each item to help you decide which targeting criteria you want to use.