Storymate User Guides
Step-by-step guides for every feature in Storymate — from creating your first feature to managing your organization as an admin.
🚀 Getting Started
Set up your organization, create your first project, and slice your first feature into stories.
⚡ Features & Story Slicing
Create features, trigger AI slicing, import epics from your backlog, and refine descriptions.
✅ Story Review Workflow
Approve, modify, or reject AI-generated stories. Understand story statuses and revision history.
🧪 Test Cases
Generate Gherkin or structured test cases from approved stories and push to TestRail, Xray, or ZephyrScale.
📅 Sprint Planning
Generate AI-suggested sprint allocations, edit them, save named plans, and export to your connector.
🗂 Traceability Matrix
View and export the full feature → story → test case coverage map for audits and stakeholder reporting.
📝 Prompts & Documents
Define prompt templates and upload reference documents to guide the AI's output.
🔗 Connectors & Integrations
Connect GitHub, GitLab, Jira, ADO, Confluence, TestRail, Xray, and ZephyrScale.
👥 Personas
Define user personas to guide the "As a…" voice in generated stories.
✅ Definition of Ready
Define and enforce story readiness criteria with a guided wizard, manual entry, or AI extraction from your existing documents.
🛡 Organization Admin Guide
Manage members, roles, billing, API tokens, audit logs, and LLM settings.
Planning & Insights
Dashboards, retrospectives, roadmaps, and traceability reports to keep your team aligned and your stakeholders informed.
📊 Analytics Dashboard
Velocity, cycle time, rejection rate, persona breakdown, bottleneck detection, and export to PDF or Excel.
🔄 Sprint Retrospectives
Generate AI-facilitated retrospectives, edit the content, and share with your team via PDF or public link.
🗺 Roadmap & Releases
Plan your product roadmap, prioritise features, manage releases, and auto-generate changelogs.
🗂 Traceability Matrix
View and export the full feature → story → test case coverage map for audits and stakeholder reporting.
Collaboration
Work together in real time, discuss stories inline, and share progress with external stakeholders.
👥 Collaboration
Real-time collaborative editing, inline comments with @mentions, activity feed, and in-app notifications.
🔗 Stakeholder Portal
Share features and stories with external stakeholders via secure links for feedback and approval.
Configuration
Customise the AI's behaviour, connect your tools, and define quality standards.
📝 Prompts & Documents
Define prompt templates and upload reference documents to guide the AI's output.
🔗 Connectors & Integrations
Connect GitHub, GitLab, Jira, ADO, Confluence, Notion, Google Drive, and more.
👤 Personas
Define user personas to guide the "As a…" voice in generated stories, or use AI-powered discovery.
✅ Definition of Ready
Define and enforce story readiness criteria with a guided wizard, manual entry, or AI extraction from your existing documents.
🛡 Quality Gates & NFR Library
Define non-functional requirements libraries, enforce quality gates, and track NFR coverage across features.
Architecture
Technical documentation on how Storymate works under the hood — useful for evaluators, IT teams, and developers extending the platform.
System Overview
Component map, deployment topology on Google Cloud Run, and the technology stack.
LLM Integration
Two-pass slicing pipeline, prompt assembly from custom prompts, documents, and personas, and response parsing.
Connector Model
Push/pull abstraction, per-connector auth and API patterns, and ExternalRef tracking.