STEFANO ROMELEV8.8.8
MODULE_ID: USER_STORIES_GENERATOR
SCREEN ANALYSIS PIPELINE

USER STORIES GENERATOR

Generate user stories from UI screenshots

STACK

Vision + LLM + ClickUp

BUILD TIME

Iterative

STATUS

LIVE

ROLE

Solo build

OUTCOME

Generate user stories from UI screenshots

Performance Metric

Time saved

80%Reduction in user story creation time
PROJECTED GAIN

System Overview

STATUS: ACTIVE

Problem Statement

Creating comprehensive user stories with acceptance criteria from UI designs is a manual, time-intensive process that requires deep understanding of user needs and system functionality.

Technical Solution

The User Stories Generator analyzes screenshots of web or mobile interfaces to extract macro elements and automatically generate well-structured user stories with detailed acceptance criteria for each identified UI component.

AI Implementation Strategy

Uses AI vision models to identify high-level UI components (macro elements) such as forms, tables, and navigation bars. Then employs LLM-powered generation to create user stories in standard format with comprehensive acceptance criteria, ensuring each story is written from the user's perspective.

Core Capabilities

SYS.CAPABILITIES
  • Automatic macro element identification
  • Standard user story format generation
  • Comprehensive acceptance criteria
  • User-centric perspective
  • Parallel processing for multiple elements
  • Automatic ClickUp task creation