CollectFlow/task.md

Context

Create a PRD for a retail analytics application. The app will manage product collections, analyze sales (quantity, revenue, margin) from a PostgreSQL database for 2 stores, and classify products into ranges (Gamme A, B, C) to determine profitability and retention.

Current Focus

Follow the /create-prd workflow to generate the PRD.

Master Plan

• Analyze the user's request for the retail application
• Locate and load the /create-prd workflow instructions
• Draft the initial PRD based on the workflow and user input
• Review and refine the PRD with the user

Progress Log

• User provided initial requirements for the retail analytics app.
• Located the workflow-create-prd.md file. Reading instructions now.
• Initialized prd.md workspace and prepared to move to Project Discovery.
• User selected 'C'. Proceeding to Step 2: Project Discovery.
• Classified project as Retail Analytics Web App (Medium complexity, Greenfield). User chose to continue. Proceeding to Step 2b: Product Vision.
• Discovered product vision: Optimizing top-performing product collections while keeping essential complementary items, using clear statistics and a store-specific A/B/C classification system.
• User selected [P] to enter Party Mode. Running collaborative brainstorming.
• User clarified: Multi-supplier filter is needed. User sets the capacity (e.g. 400 refs for Gamme A). Gamme Z is for discontinued items.
• Finalized vision constraints: Analyze both stores globally to maximize intelligence. Export Gamme Z (and others) via an Excel template to integrate directly into the existing store management software. Moved to Step 2c.
• Drafted Executive Summary. User approved. Appending to PRD and proceeding to Step 3: Success Criteria.
• Discussing Success Criteria and M.V.P scope with the user.
• User defined success: Clear tabular view (Qty/CA/Margin/month), AI sorting assistance, overall CA/Margin increase, and easy manual override for gammes. Drafting Success section.
• User clarified: Export must include ALL changed gammes (if any), not just Gamme Z. Appended Success Criteria to PRD. Proceeding to Step 4: User Journey Mapping.
• Identifying personas and drafting their journeys in the application.
• User clarified: Single persona ('Acheteur' for both stores), usage is episodic (2-3 times a year per supplier collection change). Drafting journeys for PRD.
• User selected [P] for Step 4. Running Party Mode to enrich the Acheteur journey.
• Finalized User Journeys: Added scoring system (volume vs margin), side-by-side range comparisons, and historic evolution views. Appending to PRD and moving to Step 5.
• Evaluating Domain Requirements (Step 5). The project is Medium complexity in Retail Analytics.
• User opted to focus on core logic (traffic-driving items vs margin-driving items) and chose to Continue (skip formal Step 5). Moving directly to Step 6: Innovation Focus.
• Evaluating Innovation Focus (Step 6). Checking for signals of genuine differentiation.
• Appended Innovation logic (Tactical Speed & Zero-Learning UX). Starting Step 7: Project Type Deep Dive.
• Loaded project-types.csv. Asking user technical discovery questions for a Web Application (SPA, Browser support, Real-time needs).
• User confirmed: SPA, Chrome only, Real-Time data, No SEO needed. Appending to PRD.