Connect Maestra and surveysensum to Build Intelligent Automations
Enable Integrations or automations with these events of Maestra and surveysensum
Enable Integrations or automations with these events of Maestra and surveysensum
Actions
Create Channel
Create a new channel within a workspace
Upload File
Initiates a new file upload to Maestra.
List Files
Grabs the file list with key id and basic information.
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Frequently Asked Questions
To start, connect both your Maestra and surveysensum accounts to viaSocket. Once connected, you can set up a workflow where an event in Maestra triggers actions in surveysensum (or vice versa).
Absolutely. You can customize how Maestra data is recorded in surveysensum. This includes choosing which data fields go into which fields of surveysensum, setting up custom formats, and filtering out unwanted information.
The data sync between Maestra and surveysensum typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Maestra and surveysensum. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Maestra
Maestra is a highly accurate speech to text software. Translate in English, French, Spanish, German and 80+ languages.
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About surveysensum
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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