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使用 Perplexity、OpenAI 和 Google Doc 创建数据驱动的 UX 角色画像(描述和图像)

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这是一个Market Research, Multimodal AI领域的自动化工作流,包含 16 个节点。主要使用 SplitOut, GoogleDocs, Perplexity, FormTrigger, GoogleDrive 等节点。 使用 Perplexity、DALL·E 3 和 Google Doc 生成数据驱动的 UX 角色画像

前置要求
  • Google Drive API 凭证
  • OpenAI API Key
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
  "id": "gdQ7R3obn4CWmI29",
  "meta": {
    "instanceId": "eb6cdf70dd526a1c97d7dcb6b9292757001af53236f7ca64a2582483540c6ee4",
    "templateCredsSetupCompleted": true
  },
  "name": "使用 Perplexity、OpenAI 和 Google Doc 创建数据驱动的 UX 角色画像(描述和图像)",
  "tags": [],
  "nodes": [
    {
      "id": "13cb8a59-e5de-49dc-9d2f-a14c2f7fd12c",
      "name": "表单提交时1",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        2320,
        112
      ],
      "webhookId": "7184765b-f939-4d1c-b435-ad6d62b5caf8",
      "parameters": {
        "options": {},
        "formTitle": "Creating Personas",
        "formFields": {
          "values": [
            {
              "fieldLabel": "Website url",
              "placeholder": "Enter website url",
              "requiredField": true
            },
            {
              "fieldLabel": "Region"
            },
            {
              "fieldLabel": "Inductry"
            }
          ]
        },
        "formDescription": "This form is used to create personas for your service based on market research."
      },
      "typeVersion": 2.2
    },
    {
      "id": "edb2152e-a8fd-415a-921d-13d7bb952b48",
      "name": "更新文档1",
      "type": "n8n-nodes-base.googleDocs",
      "position": [
        3376,
        -96
      ],
      "parameters": {
        "actionsUi": {
          "actionFields": [
            {
              "text": "={{ $json.output }}",
              "action": "insert"
            }
          ]
        },
        "operation": "update"
      },
      "credentials": {
        "googleDocsOAuth2Api": {
          "id": "QNNpAKDcqSbqCpbG",
          "name": "Google Docs account 3"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "2e4e8c52-e702-406d-bace-740ab2df1a6e",
      "name": "OpenAI 聊天模型2",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        2864,
        320
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "c0zo07KHkFyAOwYy",
          "name": "OpenAi account 2"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "2d577fd4-e97a-4344-8940-8b588902214f",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1648,
        0
      ],
      "parameters": {
        "color": 5,
        "width": 520,
        "height": 808,
        "content": "***自动化数据驱动 UX 角色画像创建 – 立即试用!***"
      },
      "typeVersion": 1
    },
    {
      "id": "79fc67ed-7b0b-4f78-9704-20c4b1db0176",
      "name": "将提示解析为 JSON 数组",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        3552,
        496
      ],
      "parameters": {
        "jsonSchemaExample": "[\n  {\n    \"prompt\": \"...\"\n  },\n  {\n    \"prompt\": \"...\"\n  },\n  {\n    \"prompt\": \"...\"\n  }\n]"
      },
      "typeVersion": 1.2
    },
    {
      "id": "be5b036d-bcc2-41ba-b697-4aebc8198dd4",
      "name": "🔍 研究",
      "type": "n8n-nodes-base.perplexity",
      "position": [
        2592,
        112
      ],
      "parameters": {
        "model": "sonar-deep-research",
        "options": {},
        "messages": {
          "message": [
            {
              "content": "=You are a user experience researcher and a Perplexity (research) prompt agent. Your task is to generate a UX personas for each segment based on credible market research and statistics. Use the following structured scope to guide your research and findings. Your output should be data-informed and well-cited with links to relevant sources.\n\n{{ $json['Website url'] }}{{ $json.Region }}{{ $json.Inductry }}\n⸻\n\n1. Business Overview\n\nProvide a brief summary of the business based on its website, industry, and regional context. Include an overview of all user segments relevant to the product/service. For each segment, provide:\n\t•\tSegment name\n\t•\tBrief description\n\t•\tEstimated size\nQuantify the potential market this segment represents. Include data such as:\n\t•\tTAM (Total Addressable Market)\n\t•\tCAGR (Compound Annual Growth Rate)\n\t•\tNumber of companies or professionals\n\t•\tRegional breakdown (if relevant)\n\nReference links:\n\t•\t[URL]\n\t•\t[URL]\n\n⸻\n\n2. Persona Descriptions\n\nDevelop a detailed persona profile for each user segment identified in the business overview. Use the following structure:\n\nA. Identify and describe a distinct user segment relevant to the query, grounded in market data. Include:\n\t•\tDemographic details (age, gender, location, income level)\n\t•\tPsychographics (lifestyle, behavior, interests)\n\t•\tJob roles or consumer type (if relevant)\n\nReference links:\n\t•\t[URL]\n\t•\t[URL]\n\n\n⸻\n\nB. Market Size\n\nEstimate the size of the target user group, including:\n\t•\tNumber of potential users/customers\n\t•\tGrowth rate (if available)\n\t•\tRelevant geographic distribution\n\nReference links:\n\t•\t[URL]\n\t•\t[URL]\n\n\n⸻\n\nC. User Needs\n\nList the primary needs or goals of this persona in relation to the product or service described in the query. Back your findings with:\n\t•\tBehavioral data\n\t•\tIndustry reports or surveys\n\t•\tRelevant UX research or trend reports\n\nReference links:\n\t•\t[URL]\n\t•\t[URL]\n\n\n⸻\n\nD. Pain Points\n\nDescribe key frustrations, obstacles, or unmet needs of the user segment. Support with:\n\t•\tUser feedback data\n\t•\tCustomer reviews or complaint summaries\n\t•\tResearch studies on the user experience\n\nReference links:\n\t•\t[URL]\n\t•\t[URL]\n\n\n⸻\n\nE. Usage Story\n\nWrite a concise story showing how this persona would interact with the product or service in a real-life scenario. The story should demonstrate:\n\t•\tMotivation to use\n\t•\tUsage context\n\t•\tKey touchpoints and emotional moments\n\t•\tOutcome\n\nReference links include to the output:\n\t•\t[URL]\n\t•\t[URL]\n\n"
            }
          ]
        },
        "requestOptions": {}
      },
      "credentials": {
        "perplexityApi": {
          "id": "nxgDKDrFRajW3rls",
          "name": "Perplexity account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "779f98ee-2f84-42ea-a8a9-06cec6724a4e",
      "name": "角色画像描述",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        2864,
        112
      ],
      "parameters": {
        "text": "={{ $json.choices[0].message.content }}{{ $json.citations }}{{ $json.search_results }}",
        "options": {
          "systemMessage": "You are a helpful formatter assistant, you will receive a copy, your job is to format it.\n\nGoal:\nDevelop full personas descriptions tailored to different user groups. The personas will be used in a business case to illustrate target users, validate product–market fit, and guide go-to-market strategy.\n\n⸻\n\n📄 Output Format\n\n⸻\n\nPersona 1: [Name and Segment Title]\n\n⸻\n\n1. User Segment\n\nBrief overview of this group. Describe who they are (e.g., role, industry), what they do, and why they are relevant to the product or market.\nReference links:\n\t•\t[Include the full url of Source ] \n⸻\n\n2. Market Size\n\nQuantify the potential market this persona represents. Include data such as:\n\t•\tTAM (Total Addressable Market)\n\t•\tCAGR (Compound Annual Growth Rate)\n\t•\tNumber of companies or professionals\n\t•\tRegional breakdown (if relevant)\n\nReference links:\n\t•\t[Include the full url of Source]\n\t\n⸻\n\n3. User Needs\n\nWhat problems or goals does this persona need the product to solve or support?\n\nReference links:\n\t•\t[Include the full url of Source]\n\t\n⸻\n\n4. Pain Points\n\nDescribe typical challenges or friction this persona experiences.\n\nReference links:\n\t•\t[Include the full url of Source]\n\t\n\n⸻\n\n5. Usage Story\n\nA realistic story showing how this persona uses the product to solve problems or achieve goals.\n\n“As a [job title], I use the product to [action], which helps me [benefit].”\n\n– Format headings using Markdown‑style (e.g., `## Executive Summary`) so the Google Doc node will render them as section titles.  \n- Copy Reference links section\n"
        },
        "promptType": "define"
      },
      "typeVersion": 2
    },
    {
      "id": "2d6627be-3236-430f-95e9-604acd66a36f",
      "name": "生成图像提示",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        3360,
        288
      ],
      "parameters": {
        "text": "=",
        "options": {
          "systemMessage": "={{ $json.output }}\nCreate from this input a prompt for Image Generation for each persona based on  Usage Story section.\n\n\nRequirements:\n400x400 pixel square, with no props or text, name the file using Persona title. One image for each Persona\n\nPlease return **only** a JSON array of objects, each with a single property `\"prompt\"` containing the image prompt. Example output structure:\n[\n  {\n    \"prompt\"...\"\n  },\n  {\n    \"prompt\": \"...\"\n  },\n  {\n    \"prompt\": \"...\"\n  }\n]"
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.7
    },
    {
      "id": "b3652274-f800-4bdc-8807-124b60cafb20",
      "name": "生成图像",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        4016,
        288
      ],
      "parameters": {
        "prompt": "={{ $json.prompt }}",
        "options": {},
        "resource": "image"
      },
      "credentials": {
        "openAiApi": {
          "id": "c0zo07KHkFyAOwYy",
          "name": "OpenAi account 2"
        }
      },
      "typeVersion": 1.8
    },
    {
      "id": "b727493c-53ac-40b5-b2e4-dcd525f87232",
      "name": "上传图像",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        4224,
        288
      ],
      "parameters": {
        "name": "={{ $now.format(\"yyyyMMddHHmmSSS\") }}",
        "driveId": {
          "__rl": true,
          "mode": "list",
          "value": "My Drive"
        },
        "options": {},
        "folderId": {
          "__rl": true,
          "mode": "list",
          "value": "1kv3Yo3cKK6Vsd2sBQYUN2RsBL4E1KOW8",
          "cachedResultUrl": "https://drive.google.com/drive/folders/1kv3Yo3cKK6Vsd2sBQYUN2RsBL4E1KOW8",
          "cachedResultName": "n8n"
        },
        "inputDataFieldName": "=data"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "9mzZMaQ4UW0z9Q5T",
          "name": "Google Drive account 2"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "37946092-3323-4cd8-8472-5f4ab94a17f3",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2496,
        16
      ],
      "parameters": {
        "color": 5,
        "width": 312,
        "height": 376,
        "content": "用户细分及其市场规模研究"
      },
      "typeVersion": 1
    },
    {
      "id": "cba606d5-aa81-456e-aded-fb7c87537f60",
      "name": "便签 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2832,
        16
      ],
      "parameters": {
        "color": 4,
        "width": 328,
        "height": 440,
        "content": "角色画像描述创建"
      },
      "typeVersion": 1
    },
    {
      "id": "442d43ce-ec95-4de9-aa77-c46fa82b8ba9",
      "name": "便签 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3312,
        240
      ],
      "parameters": {
        "color": 7,
        "width": 360,
        "height": 456,
        "content": "为每个角色画像创建生成图像的提示"
      },
      "typeVersion": 1
    },
    {
      "id": "19c19e43-c318-4978-856c-aafb98e6261a",
      "name": "便签 4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3952,
        240
      ],
      "parameters": {
        "color": 6,
        "width": 472,
        "height": 456,
        "content": "生成图像并上传至 Google Drive"
      },
      "typeVersion": 1
    },
    {
      "id": "4b0eac98-81ee-4b60-90a0-be6d35c01313",
      "name": "GPT-4o",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        3360,
        480
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "c0zo07KHkFyAOwYy",
          "name": "OpenAi account 2"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "1b7144ac-6147-4f24-a02e-9c491176ae01",
      "name": "拆分提示",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        3776,
        288
      ],
      "parameters": {
        "options": {
          "includeBinary": true
        },
        "fieldToSplitOut": "output"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "472470fe-db1d-4fab-9751-e89d980f4e4c",
  "connections": {
    "GPT-4o": {
      "ai_languageModel": [
        [
          {
            "node": "Generate Prompts for Images",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Split Prompts": {
      "main": [
        [
          {
            "node": "Generate images",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Upload images": {
      "main": [
        []
      ]
    },
    "🔍 Research": {
      "main": [
        [
          {
            "node": "Personas descriptions",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate images": {
      "main": [
        [
          {
            "node": "Upload images",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model2": {
      "ai_languageModel": [
        [
          {
            "node": "Personas descriptions",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "On form submission1": {
      "main": [
        [
          {
            "node": "🔍 Research",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Personas descriptions": {
      "main": [
        [
          {
            "node": "Update a document1",
            "type": "main",
            "index": 0
          },
          {
            "node": "Generate Prompts for Images",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate Prompts for Images": {
      "main": [
        [
          {
            "node": "Split Prompts",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse Prompts into JSON Array": {
      "ai_outputParser": [
        [
          {
            "node": "Generate Prompts for Images",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    }
  }
}
常见问题

如何使用这个工作流?

复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景?

高级 - 市场调研, 多模态 AI

需要付费吗?

本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。

工作流信息
难度等级
高级
节点数量16
分类2
节点类型10
难度说明

适合高级用户,包含 16+ 个节点的复杂工作流

外部链接
在 n8n.io 查看

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