PRD-Testfälle

• •Keine besonderen Voraussetzungen, sofort nach Import nutzbar

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        "content": "### 📒 Generate **Product Requirements Document (PRD)** and **test scenarios** form input to PDF with OpenRouter and APITemplate.io\n\nThis workflow generates a **Product Requirements Document (PRD)** and **test scenarios** from structured form inputs. It uses **OpenRouter LLMs (GPT/Claude)** for natural language generation and **APITemplate.io** for PDF export.  \n\n## Who’s it for\nThis template is designed for **product managers, business analysts, QA teams, and startup founders** who need to quickly create **Product Requirement Documents (PRDs)** and **test cases** from structured inputs.  \n\n## How it works\n1. A **Form Trigger** collects key product details (name, overview, audience, goals, requirements).  \n2. The **LLM Chain (OpenRouter GPT/Claude)** generates a professional, structured **PRD in Markdown format**.  \n3. A second **LLM Chain** creates **test scenarios and Gherkin-style test cases** based on the PRD.  \n4. Data is cleaned and merged using a **Set node**.  \n5. The workflow sends the formatted document to **APITemplate.io** to generate a polished **PDF**.  \n6. Finally, the workflow returns the PDF via a **Form Completion node** for easy download.  \n \n\n## ⚡ Requirements\n- OpenRouter API Key (or any LLM)\n- APITemplate.io account  \n\n## 🎯 Use cases\n- Rapid PRD drafting for startups.  \n- QA teams generating **test scenarios** automatically.  \n- Standardized documentation workflows.  \n\n👉 Customize by editing prompts, PDF templates, or extending with integrations (Slack, Notion, Confluence).  \n"
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              "fieldLabel": "Product Name",
              "placeholder": "Fitness Guru"
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              "placeholder": "An app that helps gym-goers track workouts, find classes, and stay motivated",
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            {
              "fieldLabel": "Target Audience",
              "placeholder": "gym members, personal trainers, gym owners"
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              "placeholder": "Increase gym member engagement, streamline trainer-client interaction"
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