Pitch Review AI

Reviewer Profile Cards and AI Tag Extraction

## Reviewer Profile Cards and AI Tag Extraction Clicking a reviewer's name on the review assignment page or reviewer management page displays a detailed profile card. --- ### Profile Card Contents | Item | Content | |---|---| | Name / Icon | Profile photo or initials avatar | | Company | Registered company name | | Specialty / Investment Stage | Information from reviewer settings | | Expertise Tags | Keywords automatically extracted by AI from past comments | | Mentor Info | Specialty area also displayed if mentor registration exists | --- ### AI Tag Auto-Extraction The AI analyzes past review comments and automatically generates tags representing the reviewer's areas of expertise. #### Running Extraction (Platform Administrators Only) 1. Open the target reviewer on the Reviewer Management page 2. Click **"AI Tag Extraction"** 3. The AI analyzes past comments and updates the tags --- ### Using Tags for Review Assignment AI tags are also used in **similarity-priority assignment** scoring. Reviewers whose expertise tags match application categories are prioritized for assignment to related applications. --- ### Notes - At least one review comment is required for AI tag extraction - Tags are supplementary information. Final assignment decisions should be made by administrators