Firebase / Firestore + SurveySensum integrations
Create new Firebase / Firestore documents for every new response in SurveySensum
Streamline your response gathering process with a seamless workflow between SurveySensum and Firebase / Firestore. As soon as a new response is submitted in SurveySensum, a document is instantly created in Cloud Firestore. This automation provides a systematic way of storing and organizing survey responses, saving you time and ensuring no data is missed or lost.
- When this happens...New ResponseTriggered when a new Response is captured in a survey
- automatically do this!Create Cloud Firestore DocumentCreates a new document within a Cloud Firestore collection.
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More things you can do with SurveySensum and Firebase / Firestore
Discover other triggers and actions you can use with SurveySensum and Firebase / Firestore
- Get Contacts
List of contacts present in the user account
Try ItTriggerPolling - SurveyRequired
Try ItTriggerInstant- PathRequired
- Order
- Location of newest objects
Try ItTriggerPolling- PathRequired
- Convert Numerics
- NewId
- Data
ActionWrite
- Get Email Templates
Returns the list of email templates present in user account
Try ItTriggerPolling - ActionWrite
- CollectionRequired
Try ItTriggerPolling- CollectionRequired
- Convert Numerics
- Document ID
- Data
ActionWrite
Firebase Realtime Database and Google Cloud Firestore are flexible databases that give you the ability to easily store and sync app data at global scale.
Related categories
SurveySensum offers an end to end Customer Experience Platform that measures and improves your CX metrics with CES, NPS, and CSAT surveys.
It lets you gather customer feedback at all touchpoints and turn them into actionable insights.
After receiving feedback it enables you to prioritize actions to improve products or services and proactively reduce churn and drive growth.
Also, its Conversation Analysis platform allows you to discover new trends and insights with real-time text and sentiment analysis on qualitative voice of the customer data from sources like Chat bot conversations, app store reviews, social media etc and save hours of manual data processing with automated feedback tagging.
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