How to connect OpenAI Responses and Userback
Create a New Scenario to Connect OpenAI Responses and Userback
In the workspace, click the โCreate New Scenarioโ button.

Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a OpenAI Responses, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI Responses or Userback will be your first step. To do this, click "Choose an app," find OpenAI Responses or Userback, and select the appropriate trigger to start the scenario.

Add the OpenAI Responses Node
Select the OpenAI Responses node from the app selection panel on the right.

OpenAI Responses
Configure the OpenAI Responses
Click on the OpenAI Responses node to configure it. You can modify the OpenAI Responses URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Userback Node
Next, click the plus (+) icon on the OpenAI Responses node, select Userback from the list of available apps, and choose the action you need from the list of nodes within Userback.

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Authenticate Userback
Now, click the Userback node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Userback settings. Authentication allows you to use Userback through Latenode.
Configure the OpenAI Responses and Userback Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the OpenAI Responses and Userback Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that donโt require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring OpenAI Responses, Userback, and any additional nodes, donโt forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking โRun onceโ and triggering an event to check if the OpenAI Responses and Userback integration works as expected. Depending on your setup, data should flow between OpenAI Responses and Userback (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI Responses and Userback
Userback + OpenAI Responses + Slack: When new feedback is created in Userback, a summary is generated using OpenAI Responses. This summary is then sent to a dedicated Slack channel to keep the team informed.
Userback + OpenAI Responses + Jira: When new feedback is created in Userback, especially when negative, a problem description is generated using OpenAI Responses. A new Jira issue is then created, populated with the problem description to facilitate issue tracking and resolution.
OpenAI Responses and Userback integration alternatives
About OpenAI Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results โ all without code.
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About Userback
Use Userback in Latenode to automate feedback loops. Collect user feedback, then trigger actions based on sentiment or keywords. Route bug reports, feature requests, and support queries directly into your workflows. Close the loop faster and with greater accuracy than standalone solutions.
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See how Latenode works
FAQ OpenAI Responses and Userback
How can I connect my OpenAI Responses account to Userback using Latenode?
To connect your OpenAI Responses account to Userback on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI Responses and click on "Connect".
- Authenticate your OpenAI Responses and Userback accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically improve Userback feedback using OpenAI?
Yes, you can! Latenode enables AI-powered feedback refinement using OpenAI Responses. Benefit from clearer, more actionable insights and improve your product faster.
What types of tasks can I perform by integrating OpenAI Responses with Userback?
Integrating OpenAI Responses with Userback allows you to perform various tasks, including:
- Categorizing Userback feedback using OpenAI's natural language processing.
- Generating summaries of user feedback from Userback with OpenAI.
- Creating automated responses to Userback submissions via OpenAI.
- Analyzing sentiment in Userback feedback using OpenAI's analysis tools.
- Flagging critical Userback feedback based on OpenAI sentiment scores.
What data security measures does Latenode provide?
Latenode uses encryption, secure data storage, and access controls to protect your data during OpenAI Responses and Userback workflows.
Are there any limitations to the OpenAI Responses and Userback integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by OpenAI and Userback may affect workflow speed.
- Complex OpenAI prompts require careful design to avoid errors.
- Custom JavaScript code may be needed for advanced data transformations.