
When this happens...
Incident Is Updated
New Comments on an Incident

Automatically do this!
Enable Integrations or automations with these events of Better Stack and surveysensum
Runs when incident is updated
Retrieve comments added to a specified incident within the last X minutes (default 15), returning newest first.
Mark an incident as resolved
Post a comment on an incident
Acknowledge an incident
Create a new incident
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To start, connect both your Better Stack and surveysensum accounts to viaSocket. Once connected, you can set up a workflow where an event in Better Stack triggers actions in surveysensum (or vice versa).
Absolutely. You can customize how Better Stack 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 Better Stack 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 Better Stack 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.
Better Stack is a tool to provide reliable monitoring with voice calls and beautiful on-call scheduling. Configure everything in just 3 minutes, free plan included!
Learn MoreSurveySensum 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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