Connect Userback and Twitch to Build Intelligent Automations
Ready to use Userback and Twitch automations
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Automate Instagram Comment Replies with Smart DMs
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- InstagramInstagram CaptionGenerate ImagePublish Photo with TaggingAdd Step
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Automate Instagram DM Replies, Reactions, and Team Alerts
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Feedback
Triggered when a new feedback is submitted in Userback.
New Live Stream by Streamer
Triggers when a new stream goes live that matches any game and language specified.
Do thisActions
Action is the task that follows automatically within your Userback integrations.
List Feedback
List of feedback
List Projects
List Available Projects
Create a Feedback
Creates a new feedback entry in Userback.
List Comments
List comments from a feedback
List Members
Lists available Members
List SessionRecordings
Lists available SessionRecordings
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Frequently Asked Questions
To start, connect both your Userback and Twitch accounts to viaSocket. Once connected, you can set up a workflow where an event in Userback triggers actions in Twitch (or vice versa).
Absolutely. You can customize how Userback data is recorded in Twitch. This includes choosing which data fields go into which fields of Twitch, setting up custom formats, and filtering out unwanted information.
The data sync between Userback and Twitch 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 Userback and Twitch. 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 Userback
Userback is a visual feedback and bug tracking tool designed to streamline the process of collecting feedback from users and managing it efficiently. It allows teams to gather annotated screenshots, video recordings, and comments directly from users, making it easier to identify and resolve issues quickly.
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