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Prompt Details

Model
Chat - (gpt-5.5)
Token size
375
Example input
[Insert product type, e.g., Mobile Food Delivery App, B2B SaaS CRM, E-commerce Website]: Mobile Crypto Wallet & Micro-Investing App [Insert main goal, e.g., Busy professionals looking for healthy meals, Sales teams automating outreach]: Gen-Z and millennial beginners looking to invest spare change securely and understand crypto without jargon. [Insert stage, e.g., MVP Launch, Redesign for engagement, Scaling existing features]: MVP Launch (focusing only on core utility and high trust). [Insert framework, e.g., MoSCoW, Value vs Effort, RICE score, ICE score]: RICE score [Insert your raw, unorganized list of features or ideas here]: Biometric login (FaceID/TouchID) AI-powered crypto price movement predictor "Round-up" purchases (investing spare change from daily coffee) Live chat support with 24/7 human agents Custom app themes and neon color skins Educational micro-courses with trivia rewards (Learn & Earn) Integration with 15 different blockchain networks
Example output
## Feature Prioritization Workshop **Product:** Mobile Crypto Wallet & Micro-Investing App **Stage:** MVP Launch **Target Users:** Beginner Gen-Z and millennial investors seeking simplicity, trust, and low-risk entry into crypto **Framework:** RICE (Reach × Impact × Confidence ÷ Effort) ### Assumptions Used for Scoring | Metric | Definition | | ---------- | ------------------------------------------------------ | | Reach | Number of users affected during MVP adoption (1–10) | | Impact | Influence on user value, trust, and activation (0.5–3) | | Confidence | Certainty of assumptions (0–100%) | | Effort | Relative engineering/design effort (1–10) | | RICE Score | (Reach × Impact × Confidence) ÷ Effort | --- ## Strategic Analysis & Prioritization | Feature | Reach | Impact | Confidence | Effort | RICE Score | Priority | | --------------------------------------------- | ----- | ------ | ---------- | ------ | ---------- | ----------------- | | Biometric Login (FaceID/TouchID) | 10 | 3.0 | 95% | 2 | **14.25** | Must Build | | Round-Up Purchases (Spare Change Investing) | 9 | 3.0 | 90% | 4 | **6.08** | Must Build | | Educational Micro-Courses with Trivia Rewards | 8 | 2.5 | 85% | 4 | **4.25** | Should Build | | Live Chat Support with 24/7 Human Agents | 7 | 2.0 | 80% | 6 | **1.87** | Consider Post-MVP | | Integration with 15 Blockchain Networks | 4 | 1.5 | 70% | 9 | **0.47** | Defer | | AI-Powered Crypto Price Movement Predictor | 5 | 1.5 | 40% | 8 | **0.38** | Defer | | Custom Themes & Neon Skins | 3 | 0.5 | 95% | 3 | **0.48** | Defer | --- ## Detailed UX Rationale | Feature | UX Value | Business Viability | Technical Feasibility | UX Rationale | | -------------------------------------- | ----------- | ------------------ | --------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ | | **Biometric Login** | Very High | Very High | High | Security and convenience are fundamental trust builders for first-time investors. Reduces login friction while reinforcing wallet safety. | | **Round-Up Purchases** | Very High | Very High | Medium-High | Directly supports the core product promise of effortless micro-investing. Creates a simple habit loop that drives recurring deposits. | | **Educational Micro-Courses** | High | High | Medium | Beginners need confidence before investing. Learning modules reduce crypto anxiety and improve activation and retention. | | **24/7 Live Human Support** | Medium-High | Medium | Low-Medium | Human assistance increases trust, but operational costs are substantial for an MVP. Alternative support channels can cover early-stage needs. | | **15 Blockchain Network Integrations** | Medium | Low-Medium | Low | Beginners typically use only a few major networks initially. Broad chain coverage adds complexity without proportional MVP value. | | **AI Price Predictor** | Low-Medium | Low | Low | Predictive features can create unrealistic expectations and potentially undermine trust if forecasts are inaccurate. Not aligned with MVP trust goals. | | **Custom Themes & Neon Skins** | Low | Low | High | Personalization is attractive but does not solve core user problems around investing, security, or education. | --- # Recommended MVP Roadmap ## Phase 1 — MVP Launch (Build Immediately) 1. **Biometric Login** 2. **Round-Up Purchases** 3. **Educational Micro-Courses (Lean Version)** ### Why? These three features directly support the product's value proposition: * **Trust** → Biometric Login * **Micro-Investing Utility** → Round-Up Purchases * **Crypto Understanding** → Educational Content Together they address the primary beginner concerns: * "Is my money safe?" * "How do I start investing?" * "Do I understand what I'm buying?" --- ## Phase 2 — Growth & Trust Expansion 1. Live Chat Support 2. Expanded Educational Rewards 3. Enhanced Customer Service Workflows ### Goal Increase retention and reduce abandonment among users making larger investments. --- ## Phase 3 — Scale & Differentiation 1. Multi-Chain Expansion 2. Advanced Portfolio Features 3. AI-Based Insights (not predictions) ### Goal Serve increasingly sophisticated users after product-market fit is validated. --- ## Final Prioritized Ranking (Highest → Lowest) | Rank | Feature | RICE Score | | ---- | --------------------------------------------- | ---------- | | 1 | Biometric Login | 14.25 | | 2 | Round-Up Purchases | 6.08 | | 3 | Educational Micro-Courses with Trivia Rewards | 4.25 | | 4 | Live Chat Support with Human Agents | 1.87 | | 5 | Custom Themes & Neon Skins | 0.48 | | 6 | Integration with 15 Blockchain Networks | 0.47 | | 7 | AI-Powered Crypto Price Predictor | 0.38 | ### Executive Recommendation For an MVP centered on **high trust and beginner-friendly investing**, allocate the majority of design and engineering resources to **Biometric Login**, **Round-Up Investing**, and **Education**. These features collectively maximize user adoption, reduce perceived risk, and validate the core business hypothesis while keeping implementation complexity manageable.
🤖 GPT

UX Design Feature Prioritization Matrix

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GPT-5.5
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Stop wasting hours arguing over the product backlog. Act as a Senior UX Designer & Product Strategist to instantly prioritize your feature list using frameworks like MoSCoW, RICE, or Value vs. Effort. What you get: Strategic categorization based on your current product stage (MVP, Redesign, Scaling). 1-2 sentence UX rationale for every single feature. A clean, production-ready Markdown table (with auto-calculated scores for RICE/ICE). Perfect for PMs and Founders.
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