Smarter Feedback Collection for Jira Teams
Turn Feedback Collection into a background job. DeskFerry agents use Jira to execute on your behalf, 24/7.
247 surveys sent · 3 detractors routed. Sample reply trigger:
How does Jira work for Feedback Collection automation?
Jira works for Feedback Collection automation by powering a DeskFerry agent that runs the workflow end-to-end inside your existing tools — no code, no custom build.
- 01
Trigger fires
The agent connects to Jira alongside the other apps your team already uses, watches for the triggers that matter for Feedback Collection, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Send NPS surveys via @Jira 30 days post-launch
Trigger feedback requests at optimal moments in the customer journey.
- 03
Route detractors to Customer Success in @HubSpot
Teams typically see higher than one-shot survey sends once the agent is in production.
- 04
Tag themes for the product team
You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
- 05
You approve
Anything under your confidence bar waits for a human.
How you tell it what to do
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Send NPS surveys via @Jira 30 days post-launch
- 2Route detractors to Customer Success in @HubSpot
- 3Tag themes for the product team
How it connects
Connect Jira. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Jira with one click, and feedback collection runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- JiraConnect
- HubSpotConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Jira + DeskFerry can do
Real Jira actions your AI agent can perform automatically — no manual work required.
Add Attachment
Uploads and attaches a file to a jira issue.
Add Comment
Adds a comment using atlassian document format (adf) for rich text to an existing jira issue.
Add Watcher to Issue
Adds a user to an issue's watcher list by account id.
Assign Issue
Assigns a jira issue to a user, default assignee, or unassigns; supports email/name lookup.
Bulk Create Issues
Creates multiple jira issues (up to 50 per call) with full feature support including markdown, assignee resolution, and priority handling.
Create Issue
Creates a new jira issue (e.g., bug, task, story) in a specified project.
Link Issues
Links two jira issues using a specified link type with optional comment.
Create Project
Creates a new jira project with required lead, template, and type configuration.
Create Sprint
Creates a new sprint on a jira board with optional start/end dates and goal.
Create Version
Creates a new version for releases or milestones in a jira project.
Saw your 4/10 — what would have made it a 9?
ChatGPT flagged your NPS reply for follow-up. You said the onboarding video was hard to follow — that's on us, and I'd love 10 minutes to walk you through the parts that bit.
Personalized using LinkedIn activity from the last 30 days.
Human in the loop
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Governance
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to alex@kibblecorp.com.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Send NPS surveys via @Jira 30 days post-launch, route detractors to Customer Suc
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
How it works
Get started in three steps
Step 01
Connect Jira
Link Jira to DeskFerry in one click. Your tasks, projects, and documents sync automatically.
Step 02
Set Up Workspace Automation
Define triggers in Jira — new tasks, status changes, due dates — and the AI actions that follow.
Step 03
Work Smarter, Not Harder
Your AI agent keeps Jira organized while you focus on execution. Track productivity gains on your dashboard.
Start automating Feedback Collection for Jira
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
How does Feedback Collection automation scale with increased Jira volume?
The Feedback Collection agent scales automatically as your Jira activity grows. Whether you process 10 or 10,000 Feedback Collection tasks per day from Jira, the AI handles the volume without slowdowns or additional configuration.
What specific Feedback Collection tasks can the Jira integration automate?
The Jira integration automates end-to-end Feedback Collection — including data capture from Jira, validation, routing, follow-up actions, and status updates. Every Feedback Collection step that touches Jira can be handled by the AI agent.
Can I run multiple Feedback Collection workflows with different Jira triggers?
Yes. You can create parallel Feedback Collection workflows that respond to different Jira events or conditions. For example, one Feedback Collection flow for new Jira records and another for updated ones — each with independent rules and actions.
How does Jira data stay secure during Feedback Collection automation?
All data exchanged between Jira and DeskFerry during Feedback Collection processing is encrypted in transit and at rest. We use OAuth tokens for Jira access, never store raw credentials, and maintain full audit logs of every Feedback Collection action.
When does the Feedback Collection agent send surveys to Jira customers?
The agent triggers surveys at the moment of peak feedback value — post-purchase, post-resolution, post-onboarding, or at jira-specific lifecycle milestones. Timing is calibrated for highest response rate, not arbitrary monthly blasts.
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