We’re excited to release one of our most requested features: required questions. Now, you can require respondents to complete certain questions before they can move forward in your study. This feature can be leveraged to capture essential information from your users, such as customer satisfaction KPIs and user contact information.
To leverage this feature, we recommend confirming that you are on the required Sprig SDK listed here. To learn more about Required Questions, check out our Docs.
We've made it easier than ever to help your colleagues join Sprig. Now, once you configure your team's email domain (contact [email protected] to do so), colleagues will automatically be able to join your team's Sprig account.
Sprig believes user research is most powerful when the entire company is empowered to learn from it, which is why we do not charge by seat. Domain-based Team Discovery helps you take advantage of this value and easily share Sprig insights internally.
The existing ability to manually invite team members from Settings is unchanged. Teams with SSO should continue to use that functionality to control access, which also remains unchanged.
Sprig customers rely on our popular “One to Five Scale” question type to measure their customer and feature satisfaction. This feature is now transformed into the new and improved “Rating Scale". The revamped question type will offer a variety of range options, including 3, 4, 5, 7, and 10-point scales. Plus, you’ll be able to help users visualize their rating by using stars ⭐ or smileys 🙂 across the scale.
What if none of your survey response options match what your users want to share? Now, they will be able to respond in their own words instead of yours, thanks to the addition of an “Other” open-response option to any multiple-choice question (single and multi-select).
When users respond with “Other”, a text box will pop up to give them the space to share more feedback. And, you’ll be able to easily click to explore the individual open-text responses that flow in.
When Sprig launches new features, some of them (like new question types) require that your engineering team update your codebase to include the latest version of the Sprig SDK, which controls how studies are displayed to users of your site or app. Your users are only eligible to see the studies that are supported by their version of the SDK.
If you've set up a study using a new Sprig feature, but many of your users do not have the latest version, they will not be eligible to see your study, which can slow down how fast your study completes.
Starting today, you will see a warning if your study uses a feature from an SDK version that many of your users do not yet have. This warning will show approximately how many users are not eligible for your study, helping you decide whether to launch your study or adjust which question types you've used.
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.
