RICE, PR/FAQ, JTBD, HITL, OKR templates used in real AI product builds · not theory
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Updated
Mar 4, 2026
RICE, PR/FAQ, JTBD, HITL, OKR templates used in real AI product builds · not theory
Optimización de ingresos e-commerce mediante priorización ICE/RICE y análisis de Tests A/B. Implementación robusta con Mann-Whitney U, corrección de Bonferroni y filtrado técnico de outliers (P96/P97) para identificar el impacto real en conversión. Desarrollado con Python y Pandas 3.0 (PyArrow backend) para procesamiento de alto rendimiento.
An open-source workspace for product teams to run RICE, ICE, MoSCoW, and Kano prioritization.
A single-file sprint prioritization tool built around the RICE framework, with live scoring, roadmap sequencing, and a full document export.
Business Studio project: Dodo Pizza market expansion strategy with unit economics, A/B testing, field research. ROI 48-57%, payback 2-3.5 years.
Job-ready Product Owner portfolio featuring real-world case studies, Jira agile boards, user stories, roadmaps, dashboards, stakeholder matrices, PRDs, and data-driven product artifacts.
A privacy-first prioritisation tool for product teams. RICE, Kano, and Value vs Effort frameworks. No accounts, no tracking, no data leaving your browser.
Revenue optimization project for an online store. Applied ICE/RICE frameworks for hypothesis prioritization and conducted a rigorous A/B test analysis. Managed statistical significance, data filtering (outliers), and conversion rate modeling to drive data-led business decisions.
Customer reviews → a weekly, RICE-prioritized product-discovery digest for PMs. Live ingestion + RAG chat + a Sample/Live data toggle
Systematic feature prioritization using RICE methodology with statistical A/B test validation. Built to demonstrate PM skills in prioritization, data analysis, and technical communication.
End-to-end product strategy for converting casual bike-share riders into annual members. 150K rides analyzed, K-means clustering for personas, RICE prioritization, live dashboard.
Tarazu — decision intelligence for product teams. Score with RICE, visualize tradeoffs, and capture rationale with explainable AI. Built with Next.js, Claude, Clerk, and Supabase.
Product specification for Calendar Widget Wizard - HealthForge (healthcare low-code platform) recruitment case study. Complete PM documentation: research, RICE prioritization, solution design, PRD, user stories. Built with Product Builder methodology. 80 pages | 52 story points.
RICE scoring & prioritisation checklist — a practical framework for PMs
Outcome-Based Solo Dev Productivity App
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