Nicereplyフィードバックルーター直接MS Teamsまで
上級
これはTicket Management, AI Summarization分野の自動化ワークフローで、21個のノードを含みます。主にIf, Set, Code, Filter, Switchなどのノードを使用。 チームと感情に応じてMS TeamsにNicereplyフィードバックを自動ルーティング
前提条件
- •ターゲットAPIの認証情報が必要な場合あり
使用ノード (21)
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"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": "スケジュールトリガー",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-2176,
-112
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtMinute": 1
}
]
}
},
"typeVersion": 1.2
},
{
"id": "d3798055-beaa-444c-8604-f3475507234d",
"name": "フィルター",
"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": "サポートへ送信",
"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": "分割",
"type": "n8n-nodes-base.splitOut",
"position": [
-1792,
-112
],
"parameters": {
"options": {},
"fieldToSplitOut": "data"
},
"typeVersion": 1
},
{
"id": "9afc1693-b9f0-4784-bc67-7f87d7ed1127",
"name": "サポートへ送信1",
"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": "フィードバック取得",
"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": "フィードバック編集",
"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": "付箋",
"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": "付箋1",
"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": "コメントなし",
"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": "幸福度値",
"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": "スイッチ - チームタイプ",
"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": "スイッチ - チームタイプ1",
"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": "幸福度値2",
"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": "チームリードへ送信",
"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": "チームリードへ送信1",
"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": "付箋2",
"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": "付箋3",
"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": "Nicereplyに応じて調査IDを変更",
"type": "n8n-nodes-base.aiTransform",
"position": [
-1408,
-112
],
"parameters": {},
"typeVersion": 1
},
{
"id": "cfa2795b-9744-4326-9d16-5e5b01d2645d",
"name": "幸福度値を変更",
"type": "n8n-nodes-base.aiTransform",
"position": [
-800,
-112
],
"parameters": {},
"typeVersion": 1
},
{
"id": "543260e1-f905-4714-bfb7-0e42af4f1d58",
"name": "空の回答者を「不明なクライアント」に設定",
"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;"
},
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}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
上級 - チケット管理, AI要約
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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ワークフロー情報
難易度
上級
ノード数21
カテゴリー2
ノードタイプ11
作成者
Easy8.ai
@easy8aiWe guide B2B companies to use AI agents & automations with ease. Powered by Easy Software & n8n.
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