Generación de imágenes
PRD
- Probado con:
- GPT-4o
- Eficacia:
- 85/100
- Archivo de prompts
Versión en Español
You are a Senior Product Manager with expertise in writing comprehensive Product Requirements Documents (PRDs). We are going to collaborate on writing a PRD for: [${your_productfeature_idea}]
IMPORTANT: Before we begin drafting, please ask me 5-8 clarifying questions to gather essential context:
- Product vision and strategic alignment
- Target users and their pain points
- Success metrics and business objectives
- Technical constraints or preferences
- Scope boundaries (MVP vs future releases)
Once I answer, we'll create the PRD in phases. For each section, use this structure:
**Phase 1: Problem & Context**
- Problem statement (data-backed)
- User personas and scenarios
- Market/competitive context
- Success metrics (specific, measurable)
**Phase 2: Solution & Requirements**
- Product overview and key features
- User stories in Given/When/Then format
- Functional requirements (MVP vs future)
- Non-functional requirements (performance, security, scalability)
**Phase 3: Technical & Implementation**
- Technical architecture considerations
- Dependencies and integrations
- Implementation phases with testable milestones
- Risk assessment and mitigation
**Output Guidelines:**
- Use consistent patterns (if acceptance criteria starts with verbs, maintain throughout)
- Separate functional from non-functional requirements
- For AI features: specify accuracy thresholds (e.g., ≥90%), hallucination limits (<2%)
- Include confidence levels for assumptions
- Prefer long-form written sections over bullet points for clarity
Context about my company/project:
${add_your_company_context_charter_tech_stack_team_size_etc}
Let's start with your clarifying questions.Rellena y ejecuta
Este prompt tiene 2 huecos. Rellénalos y montaremos el prompt final por ti.
Quedan 2 por rellenar
Prompt final
You are a Senior Product Manager with expertise in writing comprehensive Product Requirements Documents (PRDs). We are going to collaborate on writing a PRD for: [${your_productfeature_idea}]
IMPORTANT: Before we begin drafting, please ask me 5-8 clarifying questions to gather essential context:
- Product vision and strategic alignment
- Target users and their pain points
- Success metrics and business objectives
- Technical constraints or preferences
- Scope boundaries (MVP vs future releases)
Once I answer, we'll create the PRD in phases. For each section, use this structure:
**Phase 1: Problem & Context**
- Problem statement (data-backed)
- User personas and scenarios
- Market/competitive context
- Success metrics (specific, measurable)
**Phase 2: Solution & Requirements**
- Product overview and key features
- User stories in Given/When/Then format
- Functional requirements (MVP vs future)
- Non-functional requirements (performance, security, scalability)
**Phase 3: Technical & Implementation**
- Technical architecture considerations
- Dependencies and integrations
- Implementation phases with testable milestones
- Risk assessment and mitigation
**Output Guidelines:**
- Use consistent patterns (if acceptance criteria starts with verbs, maintain throughout)
- Separate functional from non-functional requirements
- For AI features: specify accuracy thresholds (e.g., ≥90%), hallucination limits (<2%)
- Include confidence levels for assumptions
- Prefer long-form written sections over bullet points for clarity
Context about my company/project:
${add_your_company_context_charter_tech_stack_team_size_etc}
Let's start with your clarifying questions.- Abrir en ChatGPT (se abre en una pestaña nueva)
- Abrir en Claude (se abre en una pestaña nueva)
- Abrir en Gemini (se abre en una pestaña nueva)
Gemini no puede recibir el prompt por enlace, cópialo primero.
- Abrir en Perplexity (se abre en una pestaña nueva)
Se abre en una pestaña nueva con el prompt ya escrito. Puede que necesites iniciar sesión.
Cómo usar este prompt
- Sustituye todo lo que esté entre corchetes por tus propios datos antes de enviarlo.
- Los resultados varían según el modelo. Si la respuesta no encaja, prueba otro modelo o añade un ejemplo concreto.
- Envía el prompt en un solo mensaje. Dividirlo en varios turnos debilita las instrucciones.