Turn customer feedback into Jira tickets and Slack alerts

The system reads incoming feedback, detects negative sentiment with AI, and automatically creates a Jira ticket.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4)

flowchart TD trig>"feedback submitted via webhook"]:::trig s0["validate feedback data"]:::task s1["analyze sentiment with ai"]:::task trig --> s0 s0 --> s1 gx{"× needs action"}:::gate s1 --> gx p00["create jira ticket"]:::task gx -->|"negative or feature request"| p00 p10["no ticket created"]:::task gx -->|"no action needed"| p10 p00 --> out p10 --> out out[/"jira tickets and weekly slack summary"/]:::out pay{{"urgent feedback never slips through"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepOne path onlyResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Messaging & NotificationsAPI & Webhook IntegrationSurvey & FeedbackProject & Task Management
Connects
SlackJiraOpenAI

The problem it solves

Customer feedback comes in constantly, but reading every message to figure out what's urgent and creating a ticket for it takes time your team doesn't always have. Negative feedback or feature requests can sit unnoticed until a customer follows up angry.

Who it fits

Customer support and product teams that collect ongoing customer feedback.

How it works

  1. Feedback comes in through a webhook from your app or form
  2. The system checks that the feedback is complete and valid
  3. AI analyzes the sentiment and flags negative feedback or feature requests
  4. A Jira ticket is created automatically for anything that needs action
  5. Once a week, AI summarizes all feedback tickets and posts the summary to Slack
What you get

Flagged feedback ready for your team to act on

You get negative feedback flagged and turned into a ticket automatically, with a weekly summary posted to Slack for your team.

What you get

Jira tickets for urgent feedback and a weekly sentiment summary posted to Slack.

What you need

A Slack workspace, a Jira Software Cloud account, and an OpenAI API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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