User Dashboard and Analytics UI
Relevant source files
The following files were used as context for generating this wiki page:
- packages/webapp/src/app/blog/prpm-complete-feature-guide/page.tsx
- packages/webapp/src/app/blog/introducing-prpm/page.tsx
- packages/webapp/src/app/blog/discovering-copilot-instructions/page.tsx
- packages/webapp/src/app/blog/distributable-intelligence/page.tsx
- packages/webapp/src/app/blog/introducing-use-cases/page.tsx
The User Dashboard and Analytics UI is a core feature of the PRPM platform, designed to provide package authors and organizations with detailed insights into their packages' performance. It allows creators to track key metrics, understand audience engagement, and receive feedback to improve the quality and utility of their published AI prompts, skills, and agents.
This system is a key part of PRPM's vision to offer a complete platform for the entire lifecycle of AI coding tools, from discovery and testing to publishing and management. Future enhancements are planned to provide even more detailed statistics and community feedback.
Sources: packages/webapp/src/app/blog/prpm-complete-feature-guide/page.tsx:43-46, packages/webapp/src/app/blog/introducing-prpm/page.tsx:64-67
High-Level Flow
The analytics system captures user interactions with packages on the registry and presents the aggregated data to the package authors through a dedicated dashboard.
The following diagram illustrates the general data flow for author analytics.
Key Features and Metrics
PRPM provides analytics for both individual package authors and larger organizations, with a focus on metrics that help creators understand package performance and user engagement.
For Package Authors
Verified authors can claim their packages and access a dashboard with detailed analytics. The goal is to provide actionable data to help authors understand what is working, what needs improvement, and where their audience is coming from.
Sources: packages/webapp/src/app/blog/prpm-complete-feature-guide/page.tsx:210-213, packages/webapp/src/app/blog/introducing-prpm/page.tsx:55-57
For Organizations
PRPM offers organization accounts that allow teams and companies to manage their own private packages. These organizations can leverage PRPM's analytics tooling to track usage and performance of their internal, proprietary prompts and skills. This enables them to maintain internal coding standards and best practices.
Sources: packages/webapp/src/app/blog/prpm-complete-feature-guide/page.tsx:225-228, packages/webapp/src/app/blog/distributable-intelligence/page.tsx:112-115
Analytics Metrics
The platform tracks several key metrics to measure a package's quality, popularity, and usage.
| Metric | Description |
|---|---|
| Downloads | The number of times a package has been installed via the prpm install command. This is a primary indicator of adoption. |
| Views | The number of times a package's detail page has been viewed on the PRPM web app. This indicates user interest. |
| Stars | The number of users who have starred a package, saving it to their curated list. This acts as a "favorite" or bookmark. |
| Playground Usage | Data on how often a package is tested in the PRPM Playground. This shows how users are experimenting with the package. |
| Quality Score | An automated 0-5 star rating based on an analysis of the package's content depth, structure, and metadata completeness. |
| User Ratings | Direct feedback and ratings provided by users, offering qualitative insights into a package's real-world performance. |
Sources: packages/webapp/src/app/blog/prpm-complete-feature-guide/page.tsx:120-123, 211, packages/webapp/src/app/blog/discovering-copilot-instructions/page.tsx:206-212
Conceptual Data Model
Based on the described features, the underlying data model for analytics likely connects packages to their authors or organizations and aggregates various metrics.
The diagram below shows a conceptual a Entity-Relationship model for PRPM analytics.
Future Enhancements
The PRPM team has announced plans for "Enhanced Analytics" as a future feature. This will likely include more detailed download statistics, richer community feedback mechanisms, and more granular user ratings to provide even deeper insights for package authors.
Sources: packages/webapp/src/app/blog/introducing-prpm/pagetsx:64-67