Prioritize product backlog

For a sharper delivery process, use the product backlog and prioritization AI agent. It uses frameworks like RICE, MoSCoW, and ICE to rank backlog items by impact, write clearer user stories, and break large epics into sprint-ready tickets. Your team spends less time grooming the backlog and more time shipping the right work.

Delivery

Must-have

Who is it for

Product Managers

Scrum Masters

Delivery

AI Agent Capabilities & Scope

Prioritize your backlog with clear frameworks
Write user stories and acceptance criteria
Split epics into sprint-ready tickets
Run sprint planning and retrospectives

Product Context Managed by Agent

Knowledge repository artifacts managed and maintained by agent:

backlog.csv

sprint-plan.md

user-stories.md

Starter Tasks to Get Started

Rank backlog items
Draft acceptance criteria
Slice an epic into tickets
Prep for sprint planning

Quick Prompts Examples

Simple conversation starters on how to initiate the proper context and goal fors AI agent:

I have 40 backlog items across 3 teams and no clear owner. Score them with RICE and give me a prioritized shortlist for the next sprint.
We're shipping a notification system. Write user stories for email, push, and in-app alerts with clear acceptance criteria for each.
Our engineers say this epic is too big to estimate. Break it down into tickets no larger than 3 story points and flag any dependencies.

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