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Product Vision Crafter
Transform vague product ideas into specific, actionable vision statements. Generates 3-5 vision options from different strategic angles with specificity scoring and decision guidance.
What You Get
Get concrete, decision-guiding vision statements instead of generic platitudes. Each vision option includes specificity scoring (1-10), element-by-element analysis flagging vague language, and clear guidance on what features and customers to include or exclude.
The Problem
The Solution
How It Works
- 1 Gather product context including target segment, differentiators, and competitive landscape
- 2 Validate input sufficiency and request clarification if details are too vague to create specific visions
- 3 Analyze existing vision (if provided) for generic language patterns and platitudes
- 4 Generate 3-5 distinct vision options from different strategic angles with specificity scoring
- 5 Assess actionability by evaluating decision guidance, measurability, and differentiation for each option
- 6 Recommend top vision with rationale explaining why it best fits the product context
What You'll Need
- Product or service description
- Target customer segment information
- Key differentiators or unique value proposition
- Market context or competitive landscape (optional but improves specificity)
Get This Skill
Requires Pro subscription ($9/month)
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Request ImprovementsExamples
Healthcare Clinic Scheduling with AI Prediction
Shows the skill handling a detailed, well-specified input for a healthcare scheduling tool. Generates 5 vision options scoring 7-9/10 with healthcare-specific metrics, revenue-focused decision guidance, and alternative recommendations for different buyer personas.
Note-Taking App for Students
Demonstrates vision crafting for a note-taking app competing with Notion and OneNote. Shows how the skill handles moderately vague input by generating 5 vision options with specificity scores of 7-8/10 and recommending the strongest problem-focused vision.
Handling Intentionally Vague Input
Demonstrates how the skill handles extremely vague, buzzword-laden input. Correctly identifies generic language (scoring existing vision 1/10), requests clarification with specific questions, but still generates usable 6-8/10 vision options with clear guidance on improving specificity.