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AI-Generated Ticket Content

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For many months now, our research team has been investigating opportunities for AI in the realm of website optimization. Our approach has been to look at how AI can help speed up processes and reduce manual tasks aligned with our platform vision—to simplify website optimization for everyone. 

We’ve already seen the launch of our AI-Suggested Solutions for accessibility last year, and now we’re pleased to launch AI-Generated Ticket Content.

Screenshot of Lumar Analyze's AI-Generated Content feature showing content generated for Broken Redirect Pages with High Traffic.
 

What issues does this address?

One of the key challenges that cause website optimization processes to break down is making sure SEO, UX, accessibility, and other website optimization experts communicate effectively with development teams to get issues fixed. And that can be a challenge when time is tight and resources are stretched. 

Teams that identify technical SEO, site speed, accessibility, or other areas that require development resources to fix, need to communicate what needs to be done effectively with the engineering team. This requires them to write detailed delivery tickets to fit into the development workflow. Otherwise, web optimization issues sit outside the normal process and have very little chance of getting fixed.

However, website optimization teams are often not used to writing tickets and may not provide enough information. As a result, the developer picking up the issue doesn’t have enough detail to get the issue fixed, and it either stays in the backlog or gets delayed by back-and-forth questions and answers that frustrate both sides.

 

How does it help?

We’ve developed our AI-Generated Ticket Content feature to specifically address these issues. Essentially, it takes crawl data (i.e. the specific URLs and metrics associated with the issue), our extensive in-app guidance, and the details entered into the task to generate a first draft of delivery ticket content in seconds. 

The content is formatted into a consistent set structure, including:

  • Title
  • User Story
  • Description (of the specific issue and any negative implications)
  • How to Replicate (so developers can reproduce the issue)
  • Requirements and How to Fix
  • Acceptance Criteria (the criteria that need to be met to consider the ticket complete)

This information can then be reviewed and amended where necessary, and then pasted into whichever ticket delivery system you use. You can see it in action in the product tour below.

 

What benefits does it bring?

In talking to our customers, some users spend hours a week just creating content for tickets. While AI shouldn’t be relied on completely for generating content, being able to create a good first draft in seconds—that can be reviewed and amended where needed—is a huge time saver.

This also helps reduce time-to-fix, ensuring that developers have all the information they need to pick up and fix the issue—avoiding back-and-forth to explain the issue, or tickets sitting in the backlog because no one knows what to do with it.

 

Ready to get started?

If you’re an existing customer, the good news is that we added this functionality to your existing package at no extra cost. To get started, you can follow these step-by-step instructions on how to use our AI-Generated Ticket Content feature. If you’re not an existing customer right now, get in touch and we’ll be happy to show you our platform.

Avatar image for Andrew Levey
Andrew Levey

Andrew heads up Product Marketing at Lumar, and is enthusiastic about helping prospects and clients understand the value of—and get the most out of—the Lumar platform. Outside of work, he likes great TV and film, is a bit of an amateur photographer and sings with the London Gay Men's Chorus.

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