💡 You've selected "Start with a new JTA" from the Create Blueprint screen. The form you're about to fill combines blueprint information and job role information in one place. Completing it creates both the JTA and the blueprint shell it powers.
❓ What is a JTA and why do I need one?
A Job Task Analysis documents what a minimally qualified person actually does in the job role your exam certifies. Every exam question will eventually trace back to a task in this analysis — it's what makes your exam defensible rather than just a quiz. Think of it as the evidence file that proves your exam measures something real.
Filling Out the Form
The creation form has two sections: Exam Blueprint Info and Job/Role Information:
3.1 Exam Blueprint Info
- Exam Blueprint Name (Required): Name your blueprint after the credential or exam program (e.g., "Certified Cloud Practitioner – Associate").
- Assessment Level (Required): Select the complexity level of the exam (e.g., Entry). This influences downstream defaults like item targets.
- Exam Duration (Required): The intended length of the exam. This drives default item quantity targets later, so estimate realistically.
3.2 Job/Role Information
- Job/Role Title (Required): The title of the role this exam certifies (e.g., "Cloud Support Engineer"). Name it after the job, not the exam.
- Job/Role Description (Required): Describe the role this JTA analyzes. Be specific: what does a minimally qualified person in this role actually do day to day?
❓ Why does the Job/Role Description matter so much?
This description feeds the AI's task generation and shapes everything downstream — tasks, topics, and eventually items. A vague description ("works with computers") produces vague tasks; a specific one ("provisions and troubleshoots cloud infrastructure, responds to service incidents, manages user access") gives the AI and your SMEs real material to work from. Spend the extra five minutes here — it pays off through the whole process.
💡 AI can suggest a job role description if you're unsure where to start — you can edit and refine whatever it generates.
- Not sure how to describe the role? Click the "✨ Write an AI-Assisted Job/Role" button, and AI will draft a Job/Role Description for you based on [CONFIRM: the Job/Role Title/inputs you provide in the modal like below].
3.3 Review the generated description and edit it to match the reality of the role. That way, the AI gives you a starting point, not a finished answer.
❓ Should I use the AI or write the description myself?
If you know the role well, writing it yourself is often faster and more precise. The AI assist shines when you're documenting a role outside your own expertise or facing blank-page paralysis. Either way, the description should be validated by someone who actually knows the job — it drives task generation and everything downstream.
3.4 Complete all required fields and proceed. Your JTA is created once the "Create" button is clicked and then linked to your new blueprint.
What Happens Next
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You'll continue into the JTA task development flow, generating or writing the tasks that define the job role. AI can generate tasks based on your Job/Role Description, or you can write them manually.
❓ Why create tasks in the first place?
Tasks are the backbone of the exam — they describe what a minimally qualified person actually does on the job. Every exam question will eventually trace back to one of these tasks, so the more accurate and representative they are, the more defensible the exam is. Think of them as the job description that the test is built to measure.
💡 From here, the process continues as before: develop and refine tasks, optionally run an SME survey, publish the JTA, and finalize your blueprint topics and weights. See the following articles for each stage.
Next step → Step 4: Creating & Generating Tasks (Tasks & Domains)
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