> ## Documentation Index > Fetch the complete documentation index at: https://docs.hellorecruiter.ai/llms.txt > Use this file to discover all available pages before exploring further. # Understanding AI Candidate Scorecards & Evaluations > Read AI-generated scorecards with overall scores, criteria breakdowns, key highlights, and risk signals for each interviewed candidate. After a candidate completes their AI interview, Hello Recruiter generates a comprehensive scorecard. Candidate scorecard ## What's in a Scorecard? Each scorecard includes: * **Overall Score** — A composite score based on your weighted evaluation criteria * **Criteria Breakdown** — Individual scores for each evaluation criterion you defined * **AI Summary** — A written assessment of the candidate's strengths, weaknesses, and overall fit * **Key Highlights** — Notable responses or moments from the interview * **Risk Signals** — Any flags related to potential fraud, AI usage, or impersonation ## How Scores Are Calculated Scores are calculated based on the **evaluation criteria** and **weightages** you defined when creating the job. The AI evaluates each candidate response against each criterion and assigns a score, then computes the weighted total. ## Using Scorecards Effectively **Compare candidates within the same job.** Scores are relative to the criteria you set, so they're most meaningful when comparing candidates for the same role. **Read the AI Summary.** The overall score is a useful quick filter, but the written summary provides context that numbers alone can't capture — like communication style, enthusiasm, or domain depth. ## Related Guides