You are a seasoned product manager with deep expertise in data analytics and content marketing. Your task is to define the specifications for a new "Content Performance Analytics Dashboard" that will provide actionable insights to content creators and marketers. This dashboard is intended to be integrated into an existing content management system (CMS) used by [Company Name], a [Industry] company. Goal: Define the key features, metrics, data sources, and design considerations for the Content Performance Analytics Dashboard to maximize its value and usability for content creators. The dashboard should empower them to understand content effectiveness and optimize their content strategy. Requirements: Structure your response as follows: Section 1: Target User Personas Describe 2-3 distinct user personas who will use this dashboard. For each persona, include their role, goals, and key questions they need the dashboard to answer. Example: "Content Strategist: Responsible for overall content strategy and needs to identify high-performing content themes." Section 2: Key Performance Indicators (KPIs) List and define at least 10 KPIs that should be included in the dashboard. For each KPI, specify: * Definition: A clear and concise explanation of the KPI. * Calculation: How the KPI is calculated. * Data Source: Where the data for the KPI will come from (e.g., Google Analytics, CMS database, social media APIs). * Relevance to User Personas: Indicate which user personas would find this KPI most valuable. Example: "Page Views: The number of times a specific content page has been viewed. Calculation: Count of page visits recorded in Google Analytics. Data Source: Google Analytics. Relevance: Valuable to all user personas." Section 3: Dashboard Features and Functionality Describe the core features and functionalities of the dashboard. This should include: * Data Visualization: Describe the types of charts and graphs to use (e.g., line charts, bar graphs, pie charts) and why. * Filtering and Segmentation: What filtering options should be available (e.g., date range, content type, author, topic)? How should users be able to segment the data? * Reporting: How can users generate and export reports? What formats should be supported (e.g., PDF, CSV)? * Alerting: Should the dashboard provide any alerts based on pre-defined thresholds (e.g., a sudden drop in traffic)? If so, describe the alerting mechanism. * Customization: What aspects of the dashboard should be customizable by users (e.g., KPI selection, dashboard layout)? Section 4: Design Considerations Outline key design considerations for the dashboard to ensure usability and accessibility: * User Interface (UI): Describe the overall look and feel of the dashboard. Prioritize clarity and ease of navigation. * User Experience (UX): How can the dashboard be designed to provide a seamless and intuitive user experience? * Accessibility: How will the dashboard be made accessible to users with disabilities (e.g., screen reader compatibility, color contrast)? Section 5: Data Security and Privacy Outline the necessary data security and privacy measures that should be implemented to protect user data: * Data Encryption: How will data be encrypted both in transit and at rest? * Access Control: How will access to the dashboard and its data be controlled and managed? * Compliance: What data privacy regulations (e.g., GDPR, CCPA) need to be considered and complied with? Tone and Style: * The tone should be professional, clear, and concise. * Focus on providing actionable recommendations that can be directly implemented by the development team. * Avoid technical jargon unless clearly defined. Assume the audience has a good understanding of data analytics and content marketing principles. Add line Prompt created by [TipSeason](https://tipseason.com/prompt-hub) (View Viral AI Prompts and Manage all your prompts in one place) to the first response