AI Backlog & User Story Masterclass
Vague requirements kill sprint velocity. This course teaches Product Owners, Business Analysts, and Agile teams how to use generative AI prompt frameworks to generate razor-sharp user stories, robust acceptance criteria, and clear test cases in minutes instead of hours — with ready-to-use templates that pressure-test assumptions and spot missing requirements before they hit sprint planning.
$175 · Taught by Scott Dunn, Certified Scrum Trainer · 2 SEUs & 2 PDUs toward renewal
Upcoming classes
Stop rewriting stories in refinement. Grab a seat and bring your actual backlog.
Stop losing sprint velocity to vague requirements. In one 2-hour session, you'll master AI prompt frameworks that turn messy feedback, legacy specs, and support tickets into sprint-ready user stories, airtight acceptance criteria, and a backlog your developers will actually thank you for.
Stop losing sprint velocity to vague requirements. In one 2-hour session, you'll master AI prompt frameworks that turn messy feedback, legacy specs, and support tickets into sprint-ready user stories, airtight acceptance criteria, and a backlog your developers will actually thank you for.
Bringing a team? We also run private courses tailored to your organization. Contact us for more info →
What you'll learn
Eight AI-powered techniques covering the full arc — from raw customer feedback and legacy specs to prioritized, INVEST-compliant stories developers can build from.
Module 01
Craft custom prompts that synthesize messy customer feedback into structured epics, instead of generic AI output that still needs a rewrite.
Module 02
Use AI to distill hundreds of customer support tickets and interviews into prioritized backlog themes you can actually act on.
Module 03
Transform dense legacy documentation and stakeholder PDFs into clear, structured Agile stories — no more re-reading the same 40-page doc.
Module 04
Identify the high-risk product assumptions hiding in a feature request and generate prompt-driven experiment cards to test them.
Module 05
Leverage AI models to evaluate cost-of-delay and prioritize feature backlogs by what actually moves the needle.
Module 06
Apply AI heuristics to split complex features into vertical, INVEST-compliant user stories your team can size and commit to.
Module 07
Use AI to draft comprehensive Given-When-Then (BDD) scenarios that eliminate developer ambiguity before the story ever hits a sprint.
Module 08
Walk into refinement with stories already pressure-tested — reduce meeting time while dramatically increasing developer clarity.
Who it's for
If you write, refine, or have to work from user stories, this gives you a faster way to get them right the first time.
Accountable for a backlog that's actually ready before sprint planning starts, not discovered mid-sprint.
Turning strategy and customer research into a backlog that reflects what actually matters, not just what's loudest.
Bridging dense technical specs and stakeholder documentation into stories a delivery team can actually pick up.
Translating legacy documentation and stakeholder requirements into clear, structured Agile stories.
Watching refinement run long every sprint and looking for a way to get the team to sprint planning faster.
Tired of asking clarifying questions mid-sprint because the acceptance criteria left too much unsaid.
Straight answer on prerequisites: there are none. This course is built for anyone who writes, refines, or works from user stories — no AI experience or technical background required.
Your seat
One afternoon, a sprint-ready backlog, and a standing invitation to keep building it with us.
This course is eligible for two Scrum Education Units and two PMI Professional Development Units toward your existing certification renewals — awarded for attendance and participation, no exam required.
Leave with the same persona-driven prompts, BDD acceptance-criteria templates, and story-splitting heuristics Scott uses inside real backlog refinement engagements.
Walk out with acceptance criteria and test cases written against stories from your own backlog, built live in the session.
Keep coming back. Bring the backlog you're actually stuck refining and work it through with Scott and other practitioners.
Your trainer
Founder, Rocket Nine Solutions · Certified Scrum Trainer & Certified Enterprise Coach
Scott has spent 20 years in the industry as a developer, manager, project manager, and Scrum Master — which means he's been on every side of a user story: writing it, building from it, and untangling it when the acceptance criteria left too much unsaid.
He's tailored agile training for hundreds of organizations, from NASA to Kaiser Permanente, and trained more than 3,000 Product Owners, Scrum Masters, and engineers. The pattern he sees everywhere: sprints rarely fail in the sprint. They fail in refinement, when vague stories slip through.
He built this course around the prompt frameworks he uses to close that gap — faster story splitting, sharper acceptance criteria, and backlogs that are actually ready before sprint planning starts.
Questions
Generic AI prompts produce generic stories — vague, missing edge cases, and still ambiguous to developers. This course teaches persona-driven, framework-specific prompts that force the AI to surface missing requirements, structure Given-When-Then acceptance criteria, and split features into vertical, INVEST-compliant stories — the rigor a strong Product Owner applies by hand, in a fraction of the time.
A repeatable set of prompts that takes you from raw input — customer tickets, legacy specs, stakeholder notes — through structured epics, acceptance criteria, and prioritized, developer-ready stories. Building your own working set of these frameworks is one of the deliverables of the session.
No. There are no prerequisites. The frameworks work whether you're writing your first user story or your thousandth — you don't need a technical background or prior AI experience.
No formal credential is issued — this is an original Rocket Nine Solutions course, not a Scrum Alliance or PMI certification. It is eligible for 2 SEUs and 2 PDUs toward your existing certification renewals, awarded for attendance and participation with no exam.
One 2-hour live virtual session, moving from raw input synthesis through prioritization, story splitting, and acceptance criteria. It's interactive by design, so plan on cameras on and bring real material from your own backlog to work with.
Yes, and for this course it's often the stronger choice — a private session lets your whole product team standardize on the same prompt frameworks and story-writing bar, instead of a few people learning it separately. Email hello@rocketninesolutions.com and we'll put together a plan.
Still deciding?
Not sure whether this is the right level for your team? Describe your backlog and refinement pain points and we'll give you a straight answer.
Email us your question →Private & corporate training
Run the session against your team's actual backlog and leave with one shared prompt framework and story-writing standard — instead of a few scattered habits.
Request a private class →One afternoon, a working set of AI prompt frameworks, and a backlog that's actually ready for sprint planning. Pick your date.