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POST
/
api
/
public
/
v1
/
studies
/
create-and-launch-panel
Create Study And Launch Panel
curl --request POST \
  --url https://api.userintuition.ai/api/public/v1/studies/create-and-launch-panel \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "study": {
    "name": "<string>",
    "study_type": "in-depth-interview",
    "study_plan": {
      "objectives": "<string>",
      "conversation_flow": "<string>",
      "background": "<string>",
      "learning_goals": "<string>",
      "key_questions": "<string>",
      "study_specific_rules": "<string>"
    },
    "screener_questions": [
      {
        "text": "<string>",
        "type": "single_select",
        "options": [
          {
            "text": "<string>",
            "disqualify": false,
            "id": "<string>"
          }
        ],
        "order": 123,
        "id": "<string>",
        "text_values": [
          "<string>"
        ],
        "disallowed_text_values": [
          "<string>"
        ],
        "category": "<string>"
      }
    ],
    "targeting_attributes": [
      {
        "qualification_id": 123,
        "allowed_options": [
          123
        ],
        "disallowed_options": [
          123
        ]
      }
    ]
  },
  "panel": {
    "target": 123,
    "country_code": "US",
    "frequency": "one-time",
    "dry_run": false
  }
}
'
import requests

url = "https://api.userintuition.ai/api/public/v1/studies/create-and-launch-panel"

payload = {
"study": {
"name": "<string>",
"study_type": "in-depth-interview",
"study_plan": {
"objectives": "<string>",
"conversation_flow": "<string>",
"background": "<string>",
"learning_goals": "<string>",
"key_questions": "<string>",
"study_specific_rules": "<string>"
},
"screener_questions": [
{
"text": "<string>",
"type": "single_select",
"options": [
{
"text": "<string>",
"disqualify": False,
"id": "<string>"
}
],
"order": 123,
"id": "<string>",
"text_values": ["<string>"],
"disallowed_text_values": ["<string>"],
"category": "<string>"
}
],
"targeting_attributes": [
{
"qualification_id": 123,
"allowed_options": [123],
"disallowed_options": [123]
}
]
},
"panel": {
"target": 123,
"country_code": "US",
"frequency": "one-time",
"dry_run": False
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
study: {
name: '<string>',
study_type: 'in-depth-interview',
study_plan: {
objectives: '<string>',
conversation_flow: '<string>',
background: '<string>',
learning_goals: '<string>',
key_questions: '<string>',
study_specific_rules: '<string>'
},
screener_questions: [
{
text: '<string>',
type: 'single_select',
options: [{text: '<string>', disqualify: false, id: '<string>'}],
order: 123,
id: '<string>',
text_values: ['<string>'],
disallowed_text_values: ['<string>'],
category: '<string>'
}
],
targeting_attributes: [{qualification_id: 123, allowed_options: [123], disallowed_options: [123]}]
},
panel: {target: 123, country_code: 'US', frequency: 'one-time', dry_run: false}
})
};

fetch('https://api.userintuition.ai/api/public/v1/studies/create-and-launch-panel', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));
<?php

$curl = curl_init();

curl_setopt_array($curl, [
CURLOPT_URL => "https://api.userintuition.ai/api/public/v1/studies/create-and-launch-panel",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'study' => [
'name' => '<string>',
'study_type' => 'in-depth-interview',
'study_plan' => [
'objectives' => '<string>',
'conversation_flow' => '<string>',
'background' => '<string>',
'learning_goals' => '<string>',
'key_questions' => '<string>',
'study_specific_rules' => '<string>'
],
'screener_questions' => [
[
'text' => '<string>',
'type' => 'single_select',
'options' => [
[
'text' => '<string>',
'disqualify' => false,
'id' => '<string>'
]
],
'order' => 123,
'id' => '<string>',
'text_values' => [
'<string>'
],
'disallowed_text_values' => [
'<string>'
],
'category' => '<string>'
]
],
'targeting_attributes' => [
[
'qualification_id' => 123,
'allowed_options' => [
123
],
'disallowed_options' => [
123
]
]
]
],
'panel' => [
'target' => 123,
'country_code' => 'US',
'frequency' => 'one-time',
'dry_run' => false
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}
package main

import (
"fmt"
"strings"
"net/http"
"io"
)

func main() {

url := "https://api.userintuition.ai/api/public/v1/studies/create-and-launch-panel"

payload := strings.NewReader("{\n \"study\": {\n \"name\": \"<string>\",\n \"study_type\": \"in-depth-interview\",\n \"study_plan\": {\n \"objectives\": \"<string>\",\n \"conversation_flow\": \"<string>\",\n \"background\": \"<string>\",\n \"learning_goals\": \"<string>\",\n \"key_questions\": \"<string>\",\n \"study_specific_rules\": \"<string>\"\n },\n \"screener_questions\": [\n {\n \"text\": \"<string>\",\n \"type\": \"single_select\",\n \"options\": [\n {\n \"text\": \"<string>\",\n \"disqualify\": false,\n \"id\": \"<string>\"\n }\n ],\n \"order\": 123,\n \"id\": \"<string>\",\n \"text_values\": [\n \"<string>\"\n ],\n \"disallowed_text_values\": [\n \"<string>\"\n ],\n \"category\": \"<string>\"\n }\n ],\n \"targeting_attributes\": [\n {\n \"qualification_id\": 123,\n \"allowed_options\": [\n 123\n ],\n \"disallowed_options\": [\n 123\n ]\n }\n ]\n },\n \"panel\": {\n \"target\": 123,\n \"country_code\": \"US\",\n \"frequency\": \"one-time\",\n \"dry_run\": false\n }\n}")

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()
body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))

}
HttpResponse<String> response = Unirest.post("https://api.userintuition.ai/api/public/v1/studies/create-and-launch-panel")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"study\": {\n \"name\": \"<string>\",\n \"study_type\": \"in-depth-interview\",\n \"study_plan\": {\n \"objectives\": \"<string>\",\n \"conversation_flow\": \"<string>\",\n \"background\": \"<string>\",\n \"learning_goals\": \"<string>\",\n \"key_questions\": \"<string>\",\n \"study_specific_rules\": \"<string>\"\n },\n \"screener_questions\": [\n {\n \"text\": \"<string>\",\n \"type\": \"single_select\",\n \"options\": [\n {\n \"text\": \"<string>\",\n \"disqualify\": false,\n \"id\": \"<string>\"\n }\n ],\n \"order\": 123,\n \"id\": \"<string>\",\n \"text_values\": [\n \"<string>\"\n ],\n \"disallowed_text_values\": [\n \"<string>\"\n ],\n \"category\": \"<string>\"\n }\n ],\n \"targeting_attributes\": [\n {\n \"qualification_id\": 123,\n \"allowed_options\": [\n 123\n ],\n \"disallowed_options\": [\n 123\n ]\n }\n ]\n },\n \"panel\": {\n \"target\": 123,\n \"country_code\": \"US\",\n \"frequency\": \"one-time\",\n \"dry_run\": false\n }\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://api.userintuition.ai/api/public/v1/studies/create-and-launch-panel")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"study\": {\n \"name\": \"<string>\",\n \"study_type\": \"in-depth-interview\",\n \"study_plan\": {\n \"objectives\": \"<string>\",\n \"conversation_flow\": \"<string>\",\n \"background\": \"<string>\",\n \"learning_goals\": \"<string>\",\n \"key_questions\": \"<string>\",\n \"study_specific_rules\": \"<string>\"\n },\n \"screener_questions\": [\n {\n \"text\": \"<string>\",\n \"type\": \"single_select\",\n \"options\": [\n {\n \"text\": \"<string>\",\n \"disqualify\": false,\n \"id\": \"<string>\"\n }\n ],\n \"order\": 123,\n \"id\": \"<string>\",\n \"text_values\": [\n \"<string>\"\n ],\n \"disallowed_text_values\": [\n \"<string>\"\n ],\n \"category\": \"<string>\"\n }\n ],\n \"targeting_attributes\": [\n {\n \"qualification_id\": 123,\n \"allowed_options\": [\n 123\n ],\n \"disallowed_options\": [\n 123\n ]\n }\n ]\n },\n \"panel\": {\n \"target\": 123,\n \"country_code\": \"US\",\n \"frequency\": \"one-time\",\n \"dry_run\": false\n }\n}"

response = http.request(request)
puts response.read_body
{
  "panel": {
    "study_id": "<string>",
    "panel_status": "<string>",
    "dry_run": true,
    "target": 123,
    "estimated_total_cost_per_interview_usd": 123,
    "estimated_total_cost_usd": 123,
    "estimated_timeline_hours": 123
  },
  "study": {
    "id": "<string>",
    "name": "<string>",
    "study_type": "<string>",
    "recruiting_method": "<string>",
    "language": "<string>",
    "byop_config": {
      "incentive_amount": 123,
      "is_incentives_enabled": true,
      "auto_send_incentives": true
    },
    "study_link": "<string>",
    "created_at": "2023-11-07T05:31:56Z",
    "updated_at": "2023-11-07T05:31:56Z",
    "study_plan": {
      "objectives": "<string>",
      "conversation_flow": "<string>",
      "background": "<string>",
      "learning_goals": "<string>",
      "key_questions": "<string>",
      "study_specific_rules": "<string>"
    },
    "screener_questions": [
      {
        "id": "<string>",
        "text": "<string>",
        "type": "<string>",
        "order": 123,
        "options": [
          {
            "id": "<string>",
            "text": "<string>",
            "disqualify": true
          }
        ],
        "text_values": [
          "<string>"
        ],
        "disallowed_text_values": [
          "<string>"
        ],
        "category": "<string>"
      }
    ],
    "targeting_attributes": [
      {
        "qualification_id": 123,
        "allowed_options": [
          123
        ],
        "disallowed_options": [
          123
        ]
      }
    ],
    "total_invites": 123,
    "total_calls": 123,
    "quality_calls": 123
  }
}
{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}

Authorizations

Authorization
string
header
required

Authenticate with an API key (prefixed ui_sk_) or a JWT token from the dashboard.

Body

application/json

Create a study and immediately field a panel for it. The study is always created as a Panel study (recruiting_method is forced to panel; incentives don't apply). Set panel.dry_run to get a cost estimate without creating or fielding anything.

study
PublicPanelStudyCreate · object
required

Study fields for create-and-launch-panel — no incentive config (always a panel study, so incentives don't apply).

panel
PublicPanelCreate · object
required

Field a paid panel for a Panel-type study. The interview language is taken from the study (not set here).

Response

Successful Response

panel
PublicPanelResponse · object
required

Either a launch acknowledgement (study_id + panel_status) or, for dry_run, a cost + timeline estimate.

study
PublicStudy · object | null

Full study shape returned by get-by-id (includes the heavy fields).