Multi-Channel Feedback to Jira Pipeline with AI Analysis & Notion Reporting — n8n 工作流

高 复杂度⚡ 触发器24 个节点🏷️ Project Management作者：Yassin Zehar

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

1) Trigger
3 possible triggers when a message is received:
- Telegram
- Google Sheet
- Gmail
2) Requests treated and enriched
The request is analysed and enriched with the AI model.
3) Priority calculation and Jira ticket crea
The priority is calculated and a ticket is created in J
A log is done i
4) Monthly reporting
Monthly trigger.
The data are gathered then a report will be built by AI
A page is created on Notions, the Google sheet updated.
The report is sent to the stakeholders
How it works
This workflow consolidates product feedback coming from
⚡
G
google form trigger
⚡
G
Gmail Trigger
data normalizer
instant reply
user enrichment
priority calculator
Create an issue
send result to user
log to analytics
end notification
parse json
Create a page
Message a model1
monthly report
⚡
T
Telegram Trigger
post processing
I
If
query google sheet
⚡
1
1 month Trigger
aggregate monthly stats
parse response
montly report log
Message a model
Email reporting
24 nodes23 edges

工作原理

  1. 1

    触发器

    工作流由 触发器 触发器启动。

  2. 2

    处理

    数据流经 24 个节点, connecting code, gmail, gmailtrigger。

  3. 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

Google Sheets

googleSheets

#1
TE

Telegram

telegram

#2
JI

Jira Software

jira

#3
GM

Gmail

gmail

#4
NO

Notion

notion

#5
CO

Code

code

#6
OP

OpenAI

n8n-nodes-langchain.openAi

#7

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例，依次点击 工作流 → 新建 → 从文件导入。
  3. 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. 4为每个服务节点配置 凭证（API 密钥、OAuth 等）。
  5. 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

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点24
复杂度high
触发器trigger
分类Project Management

创建者

Yassin Zehar

Yassin Zehar

@yassinzehar

标签

codegmailgmailtriggergooglesheetsgooglesheetstriggerifjiranotionopenaischeduletrigger
⚡

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