Step 2: Connect Slack and Jira

Link your collaboration and issue tracking services so alerts and tickets can be created.

1. Open Slack Alert for Bad Payload and select the channel. Set Channel ID to [YOUR_ID].
2. Credential Required: Connect your slackApi credentials in Slack Alert for Bad Payload.
3. Open Post Weekly Slack Update and set Channel ID to [YOUR_ID].
4. Credential Required: Connect your slackApi credentials in Post Weekly Slack Update.
5. Open Generate Jira Ticket and choose your Project and Issue Type IDs.
6. Credential Required: Connect your jiraSoftwareCloudApi credentials in Generate Jira Ticket.
7. Open Retrieve Weekly Issues and keep Operation as getAll with Return All set to true.
8. Credential Required: Connect your jiraSoftwareCloudApi credentials in Retrieve Weekly Issues.

Step 3: Set Up AI Sentiment Classifier

Use GPT to classify incoming feedback as positive, negative, suggestion, or neutral.

1. Open AI Sentiment Classifier.
2. Set Model to gpt-4.1.
3. In Responses, keep the instruction content as =Return only one lowercase word: "positive", "negative", "suggestion", or "neutral". Feedback: {{ $json.body.feedback_text }}.
4. Credential Required: Connect your openAiApi credentials in AI Sentiment Classifier.
5. Verify that AI Sentiment Classifier connects to Flag Negative or Request.

Step 4: Configure Validation, Routing, and Ticket Creation

Validate payloads and route negative feedback or suggestions to Jira.

1. In Payload Quality Check, keep the OR conditions using ={{ $json.body.feedback_text ?? '' }} and ={{ $json.body.sentiment ?? '' }} with Not Empty.
2. Ensure the false branch from Payload Quality Check goes to Slack Alert for Bad Payload so corrupted payloads are flagged.
3. In Flag Negative or Request, confirm the string comparisons against ={{ $json.output[0].content[0].text }} and negative / suggestion.
4. In Generate Jira Ticket, keep Summary as =Customer Feedback From – {{ $('Receive Feedback Hook').item.json.body.user_name }}.
5. Confirm Additional Fields → Description uses =**Customer Feedback** **User:** {{ $('Receive Feedback Hook').item.json.body.user_name }} **Email:** {{ $('Receive Feedback Hook').item.json.body.email }} **Sentiment:** {{ $json.output[0].content[0].text }} --- {{ $('Receive Feedback Hook').item.json.body.feedback_text }} --- Received: {{$now}} .

Step 5: Configure Weekly Reporting and Digest Generation

Schedule a weekly report, summarize Jira issues, and post the digest to Slack.

1. Open Weekly Report Trigger and set the schedule rule to your preferred weekly cadence.
2. In Retrieve Weekly Issues, keep the JQL filter project = [YOUR_ID] AND created >= startOfDay() or update it for your reporting window.
3. Open Compose Weekly Digest and keep the two response entries, including Here are the feedback issues: {{ $json.fields.description }}.
4. Credential Required: Connect your openAiApi credentials in Compose Weekly Digest.
5. In Post Weekly Slack Update, keep Text as =📊 *Weekly Customer Feedback Summary* {{ $json.output[0].content[0].text }}.
6. Verify the path Weekly Report Trigger → Retrieve Weekly Issues → Compose Weekly Digest → Post Weekly Slack Update.

Step 6: Test and Activate Your Workflow

Run end-to-end tests for both the webhook flow and weekly report flow before enabling production.

1. Click Execute Workflow and send a sample POST request to Receive Feedback Hook with body.feedback_text and body.sentiment.
2. Confirm successful runs: valid feedback passes through AI Sentiment Classifier and routes to Generate Jira Ticket if negative or a suggestion.
3. Send a malformed payload to verify Slack Alert for Bad Payload triggers.
4. Manually run Weekly Report Trigger to validate Retrieve Weekly Issues → Compose Weekly Digest → Post Weekly Slack Update.
5. Once tests succeed, toggle the workflow to Active for production use.