Nicereply 피드백 라우터 직접 MS Teams 팀에
고급
이것은Ticket Management, AI Summarization분야의자동화 워크플로우로, 21개의 노드를 포함합니다.주로 If, Set, Code, Filter, Switch 등의 노드를 사용하며. 팀 및 감정별 분류로 Nicereply 피드백을 MS Teams로 자동 라우팅
사전 요구사항
- •대상 API의 인증 정보가 필요할 수 있음
사용된 노드 (21)
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
"id": "sdscHTBWVasg6N7Q",
"meta": {
"instanceId": "aab1c22def123456abcdef123456abcdef",
"templateCredsSetupCompleted": true
},
"name": "Nicereply Feedback Router to MS Teams directly to your team",
"tags": [],
"nodes": [
{
"id": "23e23c40-e27e-49ac-b585-45d3b4ba3186",
"name": "스케줄 트리거",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-2176,
-112
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtMinute": 1
}
]
}
},
"typeVersion": 1.2
},
{
"id": "d3798055-beaa-444c-8604-f3475507234d",
"name": "필터",
"type": "n8n-nodes-base.filter",
"position": [
-1216,
-112
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "2048c105-4569-4041-bbcd-50d7a5765b61",
"operator": {
"type": "dateTime",
"operation": "after"
},
"leftValue": "={{ $json['Survey Date'] }}",
"rightValue": "={{$now.minus({hours: 24})}}"
}
]
},
"looseTypeValidation": true
},
"typeVersion": 2.2
},
{
"id": "c02fbd26-2d0c-455c-8fe2-caa1f37f9b05",
"name": "지원팀으로 전송",
"type": "n8n-nodes-base.microsoftTeams",
"position": [
1056,
-624
],
"webhookId": "abcd123-a1b2-3456-abcd-ab12cd34e",
"parameters": {
"teamId": {
"__rl": true,
"mode": "list",
"value": "YOUR_TEAM_ID",
"cachedResultName": "Your Team"
},
"message": "=We’ve received feedback for <b>Support</b>!</br>\n{{ $json.Respondent }} thinks our service was <b>{{ $json.Happiness }}</b>",
"options": {},
"resource": "channelMessage",
"channelId": {
"__rl": true,
"mode": "list",
"value": "YOUR_CHANNEL_ID",
"cachedResultUrl": "https://teams.microsoft.com/l/channel/YOUR_CHANNEL_ADDRESS",
"cachedResultName": "Client Feedback"
},
"contentType": "html"
},
"typeVersion": 2
},
{
"id": "66371a7a-15cc-4107-95d8-0661056dc3bf",
"name": "분할",
"type": "n8n-nodes-base.splitOut",
"position": [
-1792,
-112
],
"parameters": {
"options": {},
"fieldToSplitOut": "data"
},
"typeVersion": 1
},
{
"id": "9afc1693-b9f0-4784-bc67-7f87d7ed1127",
"name": "지원팀으로 전송1",
"type": "n8n-nodes-base.microsoftTeams",
"position": [
1072,
-112
],
"webhookId": "abcd123-a1b2-3456-abcd-ab12cd34e",
"parameters": {
"teamId": {
"__rl": true,
"mode": "list",
"value": "YOUR_CHANNEL_ID",
"cachedResultName": "Your Team"
},
"message": "=We’ve received feedback for <b>Support</b>!</br>\n{{ $json.Respondent }} thinks our service was <b>{{ $json.Happiness }}</b> and says \"{{ $json['Long Answer'] }}\" ",
"options": {},
"resource": "channelMessage",
"channelId": {
"__rl": true,
"mode": "list",
"value": "YOUR_CHANNEL_ID",
"cachedResultUrl": "https://teams.microsoft.com/l/channel/YOUR_CHANNEL_ADDRESS",
"cachedResultName": "Client Feedback"
}
},
"typeVersion": 2
},
{
"id": "859383d7-7458-43cb-854b-116348239c2c",
"name": "피드백 가져오기",
"type": "n8n-nodes-base.httpRequest",
"position": [
-2000,
-112
],
"parameters": {
"url": "https://api.nicereply.com/responses",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpBasicAuth"
},
"typeVersion": 4.2
},
{
"id": "d4b25cb3-ac4f-49be-8540-f7150d9f00fc",
"name": "피드백 편집",
"type": "n8n-nodes-base.set",
"position": [
-1600,
-112
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "81f496f5-04c4-479d-a336-2cb0e2fe96c7",
"name": "Respondent",
"type": "string",
"value": "={{ $json.from }}"
},
{
"id": "c9816a04-14a9-4ea5-bae2-9db002943df3",
"name": "Ticket Number",
"type": "string",
"value": "={{ $json.ticket_id }}"
},
{
"id": "0b22d469-1114-445e-8131-6f0ec5eb59e0",
"name": "Survey Date",
"type": "string",
"value": "={{ $json.created_at }}"
},
{
"id": "1a6d8be1-d3a1-40da-b159-83087e2742ca",
"name": "Happiness",
"type": "number",
"value": "={{ $json.answers[0].scale.value }}"
},
{
"id": "2c1db29d-971a-4d78-a6d8-50146b6818ae",
"name": "Long Answer",
"type": "string",
"value": "={{ $json.answers[1].open_ended.value }}"
},
{
"id": "c39b0590-5694-46b3-a091-b287c2ff603a",
"name": "SurveyID",
"type": "string",
"value": "={{ $json.survey_id }}"
},
{
"id": "6af43297-76b0-403e-a9c0-872e6d98425b",
"name": "AgentID",
"type": "string",
"value": "={{ $json.feedback_object_id }}"
},
{
"id": "78234859-3d8e-4aeb-aeb1-d2b76c074bde",
"name": "Agent Name",
"type": "string",
"value": ""
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5d965b3b-56d0-4ede-a9d3-92f46eb1e4a8",
"name": "스티커 노트",
"type": "n8n-nodes-base.stickyNote",
"position": [
128,
-160
],
"parameters": {
"width": 1380,
"height": 440,
"content": "## Sending feedback with comment\n"
},
"typeVersion": 1
},
{
"id": "ca7f03ba-d4dc-4e85-be0b-307a193d9435",
"name": "스티커 노트1",
"type": "n8n-nodes-base.stickyNote",
"position": [
128,
-736
],
"parameters": {
"width": 1380,
"height": 548,
"content": "## Sending feedback without comment\n"
},
"typeVersion": 1
},
{
"id": "5d3aa8b4-1738-407d-ac6b-90960a58602b",
"name": "댓글 없음",
"type": "n8n-nodes-base.if",
"position": [
-560,
-112
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c74f8d6b-5c7f-4068-89a9-91095619448f",
"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $('Change survey ID according Nicereply').item.json['Long Answer'] }}",
"rightValue": ""
},
{
"id": "f3d8e054-fcea-4df5-bcf4-420c16706b44",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "126b4388-cda4-477c-8d79-3434cec3abcc",
"name": "행복도 값",
"type": "n8n-nodes-base.switch",
"position": [
448,
-416
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Great!",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "4e31a572-8a68-4138-8e4a-a679e95f0128",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Happiness }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "OK",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9ad6714e-f826-4179-9107-235e2c10bb84",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Happiness }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Bad",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "10bb8ec7-15b9-415e-9814-4b7d9e65d113",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Happiness }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "2621467d-ddc6-4cb6-8c1b-724fc47239cc",
"name": "스위치 - 팀 유형",
"type": "n8n-nodes-base.switch",
"position": [
176,
-384
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Team A",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "afd403f7-326f-4b3e-99c0-0d20c23ccae0",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.SurveyID }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Team B",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "f1db99e8-c9ab-4918-b7b7-fd8339ead484",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.SurveyID }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Team C",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "61774ada-3d49-466b-8368-0fe3fc925fc0",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.SurveyID }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "3f2daf3b-48b5-48e5-b030-9b84182bd66f",
"name": "스위치 - 팀 유형1",
"type": "n8n-nodes-base.switch",
"position": [
192,
16
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Team A",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "afd403f7-326f-4b3e-99c0-0d20c23ccae0",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.SurveyID }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Team B",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "f1db99e8-c9ab-4918-b7b7-fd8339ead484",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.SurveyID }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Team C",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "61774ada-3d49-466b-8368-0fe3fc925fc0",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.SurveyID }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "aaaaec91-21cf-423e-b929-d89bea4a8c80",
"name": "행복도 값2",
"type": "n8n-nodes-base.switch",
"position": [
432,
-16
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Great!",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "4e31a572-8a68-4138-8e4a-a679e95f0128",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Happiness }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "OK",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9ad6714e-f826-4179-9107-235e2c10bb84",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Happiness }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Bad",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "10bb8ec7-15b9-415e-9814-4b7d9e65d113",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Happiness }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "ba021d5d-cc8a-4ae2-8dd1-12a41786286c",
"name": "팀 리더에게 전송",
"type": "n8n-nodes-base.microsoftTeams",
"position": [
1072,
112
],
"webhookId": "abcd123-a1b2-3456-abcd-ab12cd34e",
"parameters": {
"chatId": {
"__rl": true,
"mode": "id",
"value": "19:5e361485-4200-4d4b-9b35-015bfc82fa91_e2fbc338-609e-43bc-a98a-6db1b2086a27@unq.gbl.spaces"
},
"message": "=We’ve received feedback for <b>Support</b>!</br>\n{{ $json.Respondent }} thinks our service was <b>{{ $json.Happiness }}</b> and says \"{{ $json['Long Answer'] }}\" ",
"options": {},
"resource": "chatMessage"
},
"typeVersion": 2
},
{
"id": "e921ba32-6a36-46e6-b4ee-943d6bf3e278",
"name": "팀 리더에게 전송1",
"type": "n8n-nodes-base.microsoftTeams",
"position": [
1072,
-400
],
"webhookId": "abcd123-a1b2-3456-abcd-ab12cd34e",
"parameters": {
"chatId": {
"__rl": true,
"mode": "id",
"value": "19:5e361485-4200-4d4b-9b35-015bfc82fa91_e2fbc338-609e-43bc-a98a-6db1b2086a27@unq.gbl.spaces"
},
"message": "=We’ve got some feedback!\n{{ $json.Respondent }} thinks we are <b>{{ $json.Happiness }}</b> ",
"options": {},
"resource": "chatMessage"
},
"typeVersion": 2
},
{
"id": "79831865-3c1b-4791-bc9f-c243797a6fbd",
"name": "스티커 노트2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-3008,
-752
],
"parameters": {
"width": 720,
"height": 1392,
"content": "## Nicereply Feedback Router to MS Teams directly to your Team \n**Try out using a native Easy Redmine node to automatically process and route feedback based on comments and team structure.**\n\n### About Workflow \nThis workflow helps organizations efficiently manage client feedback collected via Nicereply. By automating the routing of feedback to the correct internal teams based on sentiment and the presence of comments, the workflow ensures that the right people see the right feedback at the right time—without any manual sorting.\n\n### Use Case \nIdeal for companies receiving regular customer satisfaction feedback and looking to distribute it instantly to responsible teams. Whether feedback contains a comment or not, it is evaluated and routed to MS Teams channels based on team type (e.g., Support, Docs, Consulting). Customers can customize this setup for as many teams as needed, allowing flexible scaling across departments.\n\n### How it works \n- Schedule Trigger \n=> Runs automatically at defined intervals (e.g., daily) to initiate feedback collection \n- Query/filter logic \n=> Retrieves survey results from Nicereply using a saved Survey ID \n- AI Transformations\n=> Splits the feedback into individual entries \n**Change survey ID according to NiceReply** — Updates survey IDs based on specific mapping rules. \n ➡️ *This step will later include an AI Transform that remaps raw SurveyID values from Nicereply to readable survey names.* \n **Example instructions:** \n Change values of SurveyID \n exampleID:abcd-123-abcd-123 → Documentation \n **Example input/output:** \n - Input: `\"SurveyID\": \"362ea713-8867-47fe-bcbf-7394b7ce419a\"` \n - Output: `\"SurveyID\": \"Documentation\"` \n=> Edits entries and assigns survey IDs using internal mapping logic \n=> Adjusts the happiness value based on sentiment analysis \n**Change happiness value** — Adjusts sentiment or happiness score. \n ➡️ *This step will include an AI Transform that converts numeric satisfaction ratings (1–3) into descriptive text values for clearer internal communication.* \n **Example instructions:** \n Change Happiness value to \"great\" if 3, \"okay\" if 2, \"bad\" if 1 \n **Example input/output:** \n - Input: `\"Happiness\": 1` → Output: `\"Happiness\": \"bad\"\n- Final output step \n=> Routes feedback to the appropriate MS Teams channels using conditional logic. \n\n### How to use \n- In Nicereply, locate your Survey ID and enter it into the workflow’s mapping step \n- Customize the team types, sentiment thresholds, and MS Teams channel names to match your org’s structure \n- Duplicate or expand the logic branches if you want to add more departments (Team A, Team B, Team C etc.) and modify message formats \n- Test with a limited dataset before full deployment\n\n### Requirements \n- MS Teams access \n → Required for sending messages to designated team channels. \n- API permissions \n → Necessary for connecting to Nicereply and posting messages via Teams APIs.\n\n### Need Help? \n- Reach out through n8n community => https://community.n8n.io/u/easy8.ai\n- Contant our team directly => Easy8.ai\n- Visit our youtube channel => https://www.youtube.com/@easy8ai \n"
},
"typeVersion": 1
},
{
"id": "ae4fa0af-348e-401d-a928-2e6a50ad92eb",
"name": "스티커 노트3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2256,
-752
],
"parameters": {
"color": 7,
"width": 2336,
"height": 1040,
"content": "## Daily Feedback Processing Workflow \n\n1. **Schedule Trigger** — Starts the workflow on a scheduled basis \n2. **Get Feedbacks** — Retrieves feedback data from NiceReply source \n3. **Split Out** — Separates the feedback data into individual entries \n4. **Edit Feedbacks** — Modifies feedback entries as needed \n5. **Change survey ID according to NiceReply** — Updates survey IDs based on specific mapping rules. \n6. **Filter** — Filters last 24 hours feedback entries for processing \n7. **Set Empty Respondent to \"Unknown Client\"** Code node — if respondent = null, set respondent value to Unknown client \n8. **Change happiness value** — Adjusts sentiment or happiness score. \n9. **Without Comment** — Determines if the feedback has a comment or not \n10. **Switch – Type of Team (Without Comment)** — Routes feedback without comments by team type \n11. **Happiness Value1 (Without Comment)** — Branches further by happiness score \n12. **Send to Support / Team Lead / Management / Docs / Consulting (Without Comment)** — Sends messages to MS Teams channels based on type and value \n13. **Switch – Type of Team (With Comment)** — Routes feedback with comments by team type \n14. **Happiness Value2 & Happiness Value3 (With Comment)** — Branches further by happiness score \n15. **Send to Support / Team Lead / Management / Docs / Consulting (With Comment)** — Sends messages to MS Teams channels based on type and value \n\n---\n\n💡 *All AI Transform steps (5, 7, and 8) include example instructions, input/output samples, and explanation of their intended purpose to simplify configuration during workflow setup.*\n\n"
},
"typeVersion": 1
},
{
"id": "2cb55117-1c45-4377-ac8b-98607d2e0485",
"name": "Nicereply에 따라 설문 ID 변경",
"type": "n8n-nodes-base.aiTransform",
"position": [
-1408,
-112
],
"parameters": {},
"typeVersion": 1
},
{
"id": "cfa2795b-9744-4326-9d16-5e5b01d2645d",
"name": "행복도 값 변경",
"type": "n8n-nodes-base.aiTransform",
"position": [
-800,
-112
],
"parameters": {},
"typeVersion": 1
},
{
"id": "543260e1-f905-4714-bfb7-0e42af4f1d58",
"name": "빈 응답자를 '알 수 없는 고객'으로 설정",
"type": "n8n-nodes-base.code",
"position": [
-1008,
-112
],
"parameters": {
"jsCode": "const items = $input.all();\nconst updatedItems = items.map((item) => {\n if (item?.json?.Respondent === null) {\n item.json.Respondent = \"Unknown Client\";\n }\n return item;\n});\nreturn updatedItems;"
},
"typeVersion": 2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "5032f855-653f-4cf0-98d3-dd25647fb843",
"connections": {
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}
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},
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[
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],
[
{
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]
},
"5d3aa8b4-1738-407d-ac6b-90960a58602b": {
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{
"node": "2621467d-ddc6-4cb6-8c1b-724fc47239cc",
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],
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{
"node": "3f2daf3b-48b5-48e5-b030-9b84182bd66f",
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},
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[
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"type": "main",
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}
]
]
},
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[
{
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]
},
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[
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"type": "main",
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[
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"type": "main",
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}
]
]
}
}
}자주 묻는 질문
이 워크플로우를 어떻게 사용하나요?
위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.
이 워크플로우는 어떤 시나리오에 적합한가요?
고급 - 티켓 관리, AI 요약
유료인가요?
이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.
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