Automation library · Research and reporting

Customer feedback automation with OpenAI and Jira

Started by another system calling it, and works across Jira and Slack. It hands the judgement calls to OpenAI. 10 steps, 2 branches: a working afternoon to understand properly.

MediumCalls a model: OpenAI

10 stepsMedium: a working afternoon
2Branches: places the flow splits
0Loops or waits
2Services it connects to

The flow

Starts it 2Model 2Logic 2Service 4

The steps in the order they run, from what starts it.

  1. 1Collect FeedbackWebhookStarts it
  2. 2Weekly Summary TriggerSchedule triggerStarts it
  3. 3Validate PayloadIfLogic
  4. 4Search Weekly IssuesJiraService
  5. 5Determine SentimentOpen AiModel
  6. 6Slack – Payload ErrorSlackService
  7. 7Create Weekly SummaryOpen AiModel
  8. 8Is Negative or Feature Request?IfLogic
  9. 9Send Weekly Slack SummarySlackService
  10. 10Create Jira TaskJiraService

How it's built

Starts on
Another system calling it
Steps
10, with 2 branches
Size
Medium: a working afternoon
Connects to
Jira, Slack
Model
OpenAI

Questions

What does it need to run?

An n8n account, plus your own Jira and Slack accounts, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls OpenAI. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 10 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

Before you run it

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 10 steps before you point it at anything that matters.