Define & Deliver

From a vague request to sprint-ready stories

“Customers want SSO” is not a spec. Idam AI's User Stories agent turns features, problems, and half-formed requests into INVEST-quality user stories - prioritized, edge cases included, acceptance criteria your QA team won't bounce back.

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User Stories · Idam AI
Your Request
“Enterprise customers keep asking for SSO. Can we spec it?”
Story 1 of 6 · SSO EnforcementMust have

As a workspace admin, I want to require SSO for all members so that access ends the moment someone leaves the identity provider.

Acceptance Criteria
Given SSO is enforced, password login is rejected with a clear message
Existing sessions expire within 15 minutes of deprovisioning
Edge case: invited user with pending password signup
IndependentValuableEstimableTestable
5 more stories · 2 personas coveredExport to Jira →
Quality Over Quantity

The story format is easy. The thinking is the work.

Any template can produce “As a user, I want…” The agent does what a strong PM does before sprint planning: finds the edge cases, covers every affected persona, and splits stories until each one is actually buildable in a sprint.

Edge cases before engineering finds them

The expensive bugs live in the gaps between happy paths. The agent probes empty states, permission boundaries, concurrent edits, and failure modes - and writes criteria for them.

Edge Cases Surfaced · CSV Export
Export requested on an empty dataset
File exceeds 100k rows mid-export
User permissions revoked during export

Every affected persona, not just the loudest

A feature rarely touches one user type. The agent maps which roles the change affects - admin, member, viewer, the person being invited - and writes the stories each perspective needs.

Persona Coverage · SSO
Workspace admin3 stories
Existing member2 stories
IT / identity provider owner1 story

Split small, ranked honestly

Epics get decomposed until each story is independently shippable and estimable, then prioritized - must-have, should-have, later - so sprint planning starts from a defensible order.

Prioritized Backlog Slice
Enforce SSO at loginMust
Session revocation on deprovisionMust
SCIM auto-provisioningShould
Custom SAML attribute mappingLater
Wired Into Your Delivery Stack

Stories that know what's already in the backlog

Before writing a word, the agent checks your connected project tracker, knowledge base, and design files for related work. The result reads like it came from someone who attended your standups.

Context first, stories second

Related tickets, prior specs, design explorations, and known dependencies get pulled in automatically when tools are connected - and the agent works fine from a plain description when they are not.

Jira & LinearNotion & ConfluenceDesign filesDecision records
Context Gathered Before Writing
Jira: 3 related tickets found
linked
Notion: auth research doc
referenced
Design: SSO settings mockup
attached
Dependency: identity service v2
flagged
Stories written against real project state

Lands where engineering works

Export finished stories to Jira or Linear with acceptance criteria intact - no reformatting from a Notion doc into tickets at 6pm before planning.

Builds on prior specs

Connected knowledge bases mean the agent finds the research doc and the decision record you forgot existed - and keeps new stories consistent with them.

Dependencies called out up front

If a story depends on another team's service or an unshipped migration, it gets flagged in the story - before it becomes a mid-sprint surprise.

Frequently Asked Questions

Asked before every sprint

Almost anything: a feature name ("SSO support"), a problem statement ("enterprise customers keep asking for centralized auth"), a customer request, or something as vague as "we should do something about onboarding drop-off." The agent asks the clarifying questions a senior PM would - target users, success metrics, constraints - and fills gaps from your workspace context.
Get Started

Sprint planning is Thursday. Your stories can be ready today

Describe the feature once. Get prioritized, INVEST-checked stories with acceptance criteria - and export them straight to your tracker.

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