Strategic Product Toolkit - ValueScope Guru
A proven framework to score, prioritize, and allocate your product resources in minutes—not weeks.
ValueScope Guru
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📊 Evaluate features by real user & business value, not just gut feel.
🧠 Cut through the noise with a structured, repeatable model.
🚀 Know exactly where to focus for the highest ROI.
⏱️ Skip the spreadsheet chaos and get actionable insights in minutes.
🧬 Built by real-world product managers and strategy consultants—tested, refined, and ready to use.
🛡️ Stress-tested across GPT-4, Claude, and Gemini for consistent, high-quality results.
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📝Prompt Overview
Use this prompt to prioritize features like a pro—and ship what truly matters.
This prompt is your ready-to-use product evaluation toolkit. It helps product managers prioritize features based on a powerful scoring model, balancing user impact and business outcomes. You’ll get a ranked list of features, strategic recommendations, and clarity on where to invest your resources—all without hours of meetings or guesswork.
📚Details
Model: Google Gemini 2.5 Pro
Token Size: 1,241
Example Input: "Product: Mobile learning app for corporate training (B2B). User Group:L&D (Learning & Development) managers and employees in mid-to-large enterprises. Business Objective / KPI: Increase weekly active usage and training module completion rate. Features to Analyze: 1. Micro-learning Streaks – Daily bite-sized lessons that unlock rewards for consistent usage. 2. Offline Mode – Allow users to download modules for travel or poor connectivity. 3. Manager Dashboard – A tool for L&D managers to track team progress and engagement. 4. In-App Certification – Issue shareable certificates upon module completion. 5. Peer Challenge Mode – Gamified learning competitions between coworkers. Budget & Constraints: Team: 1 PM, 2 engineers, 1 designer. Timeline: 3 sprints (~6 weeks). Data: In-app usage metrics, NPS feedback, survey on feature desirability"
Example Output: (This prompt can generate a highly detailed analysis report, with the detailed report omitted here. Here is a brief summary of the analysis AI just completed)
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