> For the complete documentation index, see [llms.txt](https://docs.senseloaf.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.senseloaf.ai/agents-output/ai-interview-report-card.md). # AI Interview Report Card The AI Interview Report Card evaluates how a candidate performs in a structured, role-aware interview conducted by the AI Interview Agent. It combines performance signals, behavioural insights, and integrity indicators to give you a complete view of interview readiness and role fit. ### What's included * **Interview summary** — an overview of overall performance, strengths, and areas of concern * **Competency evaluation** — role-specific skills assessed from interview responses * **Behavioural signals** — communication clarity, relevance, and professionalism * **Integrity indicators** — guardrail and proctoring signals surfaced during the interview * **Communication trail** — interview invites, reminders, and completion notifications ### 1. Layout The AI Interview Report Card is organised into two complementary panels that work together — evaluation on the left, evidence on the right.

* **Left panel — Interview evaluation:** core insights including summary, competency assessment, behavioural signals, and integrity indicators * **Right panel — Interview responses and transcript:** a structured view of the candidate's answers, question flow, and full conversation transcript This layout lets you assess how a candidate performed while validating those conclusions against exactly what they said — side by side. ### 2. Interview evaluation **a. Interview summary**

A concise view of overall performance, highlighting readiness, strengths, and areas of concern. Use this as your starting point — it helps you quickly decide whether to proceed or review the deeper insights before making a call. **b. Proctoring Details**

Surfaces guardrail and proctoring signals such as inappropriate language, evasive behaviour, or potential integrity risks. These are not automatic disqualifiers — use them alongside the full transcript to interpret interview outcomes fairly and in context. **c. Competency evaluation**

Assesses role-specific skills demonstrated in responses, including problem-solving, decision-making, and practical knowledge. Ensures candidates meet the functional expectations of the role based on what they actually said in the interview, not just what's on their resume. **d. Behavioural signals**

Evaluates communication clarity, relevance, and professionalism during the interview. Helps you determine whether the candidate is a fit for the working environment and collaboration expectations of the role — beyond just their technical ability. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.senseloaf.ai/agents-output/ai-interview-report-card.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.