Multi-Channel Feedback to Jira Pipeline with AI Analysis & Notion Reporting — n8n 工作流
概览
Description
This workflow turns scattered user feedback into a structured product backlog pipeline.
It collects feedback from three channels (Telegram bot, Google Form/Sheets, and Gmail), normalizes it, and sends it to an AI model that:
Classifies the feedback (bug, feature request, question, etc.)
Extracts sentiment and pain level
Estimates business impact and implementation effort
Generates a short summary
Then a custom RICE-style priority score is computed, a Jira ticket is created aut
使用的节点
Google SheetsTelegramJira SoftwareGmailNotionCodeOpenAI
工作流预览
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工作原理
- 1
触发器
工作流由 触发器 触发器启动。
- 2
处理
数据流经 24 个节点, connecting code, gmail, gmailtrigger。
- 3
输出
工作流完成自动化并将结果发送到配置的目标。
节点详情 (24)
GO#1
Google Sheets
googleSheets
TE#2
Telegram
telegram
JI#3
Jira Software
jira
GM#4
Gmail
gmail
NO#5
Notion
notion
CO#6
Code
code
OP#7
OpenAI
n8n-nodes-langchain.openAi
如何导入此工作流
- 1点击右侧 下载 JSON 按钮保存工作流文件。
- 2打开你的 n8n 实例，依次点击 工作流 → 新建 → 从文件导入。
- 3选择下载的
multi-channel-feedback-to-jira-pipeline-with-ai-analysis-notion-reporting文件并点击导入。 - 4为每个服务节点配置 凭证（API 密钥、OAuth 等）。
- 5点击 测试工作流 验证一切正常，然后激活它。
或直接在 n8n → 从 JSON 导入 中粘贴：
{ "name": "Multi-Channel Feedback to Jira Pipeline with AI Analysis & Notion Reporting", "nodes": [...], ...}
集成
codegmailgmailtriggergooglesheetsgooglesheetstriggerifjiranotionopenaischeduletriggertelegramtelegramtrigger
创建者
Yassin Zehar
@yassinzehar
标签
codegmailgmailtriggergooglesheetsgooglesheetstriggerifjiranotionopenaischeduletrigger