Projects, workflows, JQL, automation, boards, roadmaps, Advanced Roadmaps, marketplace.
Before starting, we run a 1-minute tech check — microphone, ambient noise, connection. If your setup isn't good enough, the test is fully refunded.
Prove in 15 minutes that your Jira skills go beyond clicking tickets — custom workflows, advanced JQL, Automation rules, and Advanced Roadmaps, tested by an AI that knows the difference.
The Plume Jira badge is a 15-minute oral exam conducted by an AI examiner that probes your hands-on mastery of Jira: choosing between Team-managed and Company-managed projects, building workflows with custom statuses, transitions, conditions and validators, writing advanced JQL (linkedIssues(), sprint in openSprints(), nested filters), crafting Automation rules with smart values, and integrating Jira with tools like Confluence, GitHub, Slack and your CI/CD pipeline. After the session, a second AI model reads the full transcript and produces a 0-100 score with a certified level: Novice, Proficient, Advanced or Expert.
Unlike LinkedIn self-assessments or multiple-choice certifications, the Plume badge forces you to talk through real situations: a project you set up from zero, a workflow you designed to solve a specific business problem, an Automation rule that saved your team hours every week. The AI spots vague or rehearsed answers immediately and follows up with precision questions — intermediate statuses, transition conditions, smart values pitfalls, differences between next-gen and classic projects. That makes the result a genuine competence signal, not a box-ticked credential.
This badge is built for anyone who uses Jira as a core part of their daily work: Agile project managers, Scrum Masters, Product Owners, Jira Admins, Tech Leads, and freelancers who want to prove their expertise to clients or recruiters. Whether you're managing a 10-item backlog or multi-team roadmaps with Advanced Roadmaps, passing the Jira oral gives you concrete proof of what you actually know how to do.
Here are the concrete dimensions the AI examines during the 15-minute oral.
Choosing between Team-managed and Company-managed projects, configuring issue types, custom fields, screens and permission schemes to match the real needs of a team or organization.
Building workflows with business-specific statuses, conditional transitions, validators, post-functions and transition rules to support complex approval or delivery processes.
Writing JQL queries with advanced functions — linkedIssues(), sprint in openSprints(), issueFunction, nested filters — and using them to power dashboards, filters and reporting.
Creating multi-project Automation rules with triggers, branches, conditions, smart values ({{issue.fields.assignee}}) and understanding common failure modes like infinite loops or missing permissions.
Multi-team planning with Advanced Roadmaps, managing cross-project dependencies, team capacity, releases and planning scenarios for a portfolio view.
Connecting Jira with Confluence, GitHub/Bitbucket, Slack and CI/CD tools, and critically evaluating Marketplace apps (Tempo, Structure, ScriptRunner, Zephyr) based on actual value delivered.
Knowing when Jira is the wrong choice and being able to argue for an alternative (Linear, Asana, Notion, ClickUp) on concrete, context-driven criteria — not just personal preference.
Understanding the Jira Software/Work Management merge, what Advanced Roadmaps now offers versus the old Portfolio for Jira, and the practical impact of Atlassian Intelligence on everyday workflows.
Final scoring is performed by Claude (Anthropic), which reads back the full transcript and applies this weighted criteria grid.
How well you know Jira's actual features: workflows, JQL, Automation, project types, permission schemes and advanced configuration. The AI looks for precise, specific answers — not surface-level descriptions.
Your ability to ground every concept in a concrete situation you lived through: which project, which team, what problem got solved. Generic or purely theoretical answers score lower.
The quality of your thinking when making structural choices: Team-managed vs Company-managed, which Marketplace app to use, when to move away from Jira. The AI wants explicit criteria, not gut instinct.
How well you understand Jira's role within a broader stack (Confluence, GitHub, Slack, CI/CD) and whether you can evaluate the real value of integrations you've worked with.
How fluently and precisely you communicate, using the right technical vocabulary: statuses, transitions, validators, smart values, JQL syntax. Good Jira practitioners speak the language of the tool.
A Plume session takes about 20 minutes, from tech check to badge delivery.
The AI confirms your mic is working and you're in a quiet environment. You give a quick thumbs-up and the session starts.
The AI asks you to introduce yourself and describe your most recent or most complex use of Jira — team size, project type, and your specific role in it.
The AI asks 4 to 6 targeted questions based on what you've said: project configuration, custom workflows, JQL queries, Automation rules, integrations, Advanced Roadmaps. If an answer is vague, it follows up with a precision question immediately.
The AI asks for your take on Jira's recent evolution or its limitations — to assess whether you can step back and think beyond your own usage.
A second AI model reads the full transcript and computes your 0-100 score. Your Jira badge with certified level and detailed report lands in your Plume dashboard right away.
Your score out of 100 translates into a level a recruiter can grasp at a glance.
You use Jira to create tickets and track a basic Kanban or Scrum board. You navigate existing projects but haven't configured a project from scratch or touched workflows, permission schemes or JQL. You know where things are without understanding the underlying logic.
You create and configure Jira projects, customize issue types and fields, write basic to intermediate JQL queries, and work with boards and sprints daily. You may have created a simple Automation rule or tweaked an existing workflow, and you feel comfortable onboarding a new team member.
You build full custom workflows with conditions, validators and post-functions. You write advanced JQL with functions and nested filters, create non-trivial Automation rules with smart values and manage integrations with GitHub, Confluence or CI/CD tools. You can train others and troubleshoot configuration issues independently.
You administer Jira at the instance level: permission schemes, notification schemes, custom field contexts, groups and roles. You use Advanced Roadmaps for multi-team planning, design scalable project architectures and evaluate Marketplace apps critically. You have well-reasoned views on when to use Jira versus its alternatives, and you keep up with Atlassian's product roadmap.
No degree or years of experience required to take the badge. Here are the profiles it makes the most sense for.
You run sprints, manage backlogs and maintain roadmaps in Jira every day. The badge proves your mastery goes well beyond moving tickets across a board.
You structure epics, user stories and releases in Jira and want a credible signal that you can organize a complex backlog and make it readable for all stakeholders.
You configure projects, workflows, permission schemes and integrations for the whole organization. The Expert badge lets you put a number on expertise that's often invisible to leadership.
You oversee your team's Jira setup, connect it to GitHub and your CI/CD pipeline, and want to show you're actually extracting value from the tool — not just using it as a glorified to-do list.
You work on engagements where Jira is already in place or needs to be implemented. The badge sets you apart on freelance platforms and in proposals where clients want proven expertise.
Where and how your Jira badge will help you day to day.
You're applying for a Scrum Master or PM role at a company running Jira. Your Advanced or Expert badge on LinkedIn replaces a hollow 'Jira' skills tag with a verifiable score and level that recruiters can actually trust.
A client wants to outsource their Jira instance setup and agile team coaching. You drop your Plume badge link in your proposal to prove your level before the first call, reducing back-and-forth on qualifications.
You're aiming for a Lead PM or Jira Admin role at your current company. The badge report gives you concrete evidence for your performance review and shows your manager exactly which dimensions of Jira you've mastered.
A Head of Engineering wants to map Jira proficiency across teams before a Jira Cloud migration. She asks everyone to take the badge, then uses the scores to identify skill gaps and prioritize training investment.
You've just completed an agile project management course and want to validate your Jira knowledge with a real oral exam rather than a multiple-choice quiz. The report tells you precisely where to go deeper.
You're moving from a developer role into project management and have built solid Jira experience along the way without an official title. The badge gives you a credible first signal of legitimacy that recruiters understand.
A few minutes to check you have everything you need.
At the end of your session you don't just get a score — here's everything that awaits you.
You get a 0-100 score and an official level (Novice, Proficient, Advanced or Expert) reflecting your real Jira mastery, graded by AI from your full transcript — not a self-declared rating.
A structured report breaks down your strengths (JQL fluency, Automation depth, project configuration...) and growth areas, with specific excerpts from the oral that drove the assessment.
Your exam audio is stored securely and accessible only to you. Re-listen before your next attempt or use it to track your own progress over time.
Your Jira badge comes with a public URL you can paste into LinkedIn, your resume, a freelance proposal or a Toptal profile — score and level visible at a glance.
Discover related skills you can validate with Plume.
A 15-min oral exam with an AI, a shareable badge for your recruiters.
Choose this badge · €19.99
