Delighted

Delighted uses the Net Promoter System® to gather real feedback from your customers – in minutes, not weeks. No technical knowledge required.

Integrate the Delighted API with the Go API

Setup the Delighted API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Delighted and Go remarkably fast. Free for developers.

Sending to People with the Delighted API

Create or update a person and send a survey email. See the docs here

 
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Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

 
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Overview of Delighted

Delighted API on Pipedream lets you automate and integrate customer feedback into various aspects of your business processes. Utilize real-time survey responses to trigger actions, manage contacts, and streamline follow-ups. With a mix of webhooks and API calls, you can react promptly to customer sentiment, categorize feedback, and enhance customer experience by connecting insights to your CRM, support, and product management tools.

Connect Delighted

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module.exports = defineComponent({
  props: {
    delighted: {
      type: "app",
      app: "delighted",
    }
  },
  async run({steps, $}) {
    const delighted = require('delighted')(this.delighted.$auth.api_key)
    
    return await delighted.metrics.retrieve()
  },
})

Overview of Go

You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.

Connect Go

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package main

import (
	"fmt"

	pd "github.com/PipedreamHQ/pipedream-go"
)

func main() {
	// Access previous step data using pd.Steps
	fmt.Println(pd.Steps)

	// Export data using pd.Export
	data := make(map[string]interface{})
	data["name"] = "Luke"
	pd.Export("data", data)
}