OpenAI ChatGPT and Userback Integration

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Automatically tag and respond to Userback feedback using OpenAI ChatGPT's natural language processing. Build flexible logic visually in Latenode and scale affordably without per-step costs.

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OpenAI ChatGPT

Userback

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect OpenAI ChatGPT and Userback

Create a New Scenario to Connect OpenAI ChatGPT and Userback

In the workspace, click the “Create New Scenario” button.

Add the First Step

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

Add the OpenAI ChatGPT Node

Select the OpenAI ChatGPT node from the app selection panel on the right.

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OpenAI ChatGPT

Configure the OpenAI ChatGPT

Click on the OpenAI ChatGPT node to configure it. You can modify the OpenAI ChatGPT URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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OpenAI ChatGPT

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Run node once

Add the Userback Node

Next, click the plus (+) icon on the OpenAI ChatGPT 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.

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OpenAI ChatGPT

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Configure the OpenAI ChatGPT 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.

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Run node once

Set Up the OpenAI ChatGPT 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 don’t 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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Save and Activate the Scenario

After configuring OpenAI ChatGPT, Userback, and any additional nodes, don’t 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 “Run once” and triggering an event to check if the OpenAI ChatGPT and Userback integration works as expected. Depending on your setup, data should flow between OpenAI ChatGPT 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 ChatGPT and Userback

Userback + OpenAI ChatGPT + Slack: When new feedback is created in Userback, a summary is generated by ChatGPT. The summary is then posted to a dedicated Slack channel.

Userback + OpenAI ChatGPT + Google Sheets: When new feedback is created in Userback, ChatGPT analyzes the feedback and extracts sentiment and keywords. This data is then logged in a Google Sheet for tracking trends.

OpenAI ChatGPT and Userback integration alternatives

About OpenAI ChatGPT

Integrate ChatGPT into Latenode for automated content generation, sentiment analysis, and smart replies. Create workflows that analyze text, classify data, and personalize customer interactions. Combine AI power with Latenode's flexibility: orchestrate complex processes, manage data flow, and connect to any app via API—all without code.

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.

See how Latenode works

FAQ OpenAI ChatGPT and Userback

How can I connect my OpenAI ChatGPT account to Userback using Latenode?

To connect your OpenAI ChatGPT account to Userback on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select OpenAI ChatGPT and click on "Connect".
  • Authenticate your OpenAI ChatGPT and Userback accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically analyze user feedback with AI?

Yes, you can! Use Latenode to trigger OpenAI ChatGPT analysis when new Userback feedback arrives. Identify trends and sentiment automatically, saving your team valuable time.

What types of tasks can I perform by integrating OpenAI ChatGPT with Userback?

Integrating OpenAI ChatGPT with Userback allows you to perform various tasks, including:

  • Automatically summarizing user feedback comments with AI.
  • Categorizing user feedback by sentiment using OpenAI ChatGPT.
  • Generating suggested responses to user feedback with AI.
  • Creating support tickets based on negative feedback analysis.
  • Notifying teams of critical feedback via AI-driven analysis.

What OpenAI ChatGPT models are compatible with the Latenode integration?

Latenode's OpenAI ChatGPT integration supports all models accessible via the OpenAI API, including GPT-3.5, GPT-4, and others, giving you full AI power.

Are there any limitations to the OpenAI ChatGPT and Userback integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Rate limits from the OpenAI API may affect processing speed.
  • The quality of analysis depends on the clarity of user feedback.
  • Advanced workflows may require some JavaScript knowledge.

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