Use Case: Fixing Messy Job Postings with Templating & AI Rules

We work with a global professional services team that came to us after they noticed the same pattern in their job postings: 

• too long
• too much jargon
• inconsistent sections 

They also wanted to tighten up OFCCP compliance, especially around quantifiable requirements.

After 5 months with Text Analyzer, here’s what changed:

• We focused on two things: consistency and clarity. 
• We used templates to lock in structure so every post follows the same flow. 
• Then we added simple AI rules to keep sections short and easy to read. 

The result: 

• cleaner job posts
• faster publishing times 
• fewer edits across a worldwide team

Their Job Posting Problem

We asked about their job description challenges. They said:

"Our posts weren’t consistent."

Writers used different structures, added extra fluff, and buried the details candidates actually care about. On top of that, some requirements weren’t clearly quantifiable, which put compliance at risk. We needed one standard way to write every role, without creating 20 different templates or slowing the team down.

Then, we asked them how Text Analyzer has helped. They said:

"Templates changed our workflow." 

Every section is in the right place, every time. AI rules help keep each part concise and readable. The biggest win was adding rules inside templates to drop in specific, approved language when certain keywords show up. We didn’t have to spin up a bunch of new templates or spend hours editing. Setting rules on certain sections to bring in specific language based on keywords saved us from creating too many templates. It saved both time and editing."

How to Fix Your Messy Job Description Workflow

If you want consistent, compliant job postings at scale, start with templating. The rules-based setup delivers predictable results and cuts the back-and-forth. This helps speed up job description workflows and saves hiring teams loads of time.