> ## Documentation Index > Fetch the complete documentation index at: https://docs.talentunveiled.com/llms.txt > Use this file to discover all available pages before exploring further. # Managing Applications > Review candidates, CVs, interviews, and AI-generated insights in the TalentUnveiled HR portal Once candidates apply to your job postings, you manage their applications in the [HR portal](https://hr.talentunveiled.com). This guide covers how to review applications, work with CVs, read interview evaluations, and use AI-generated insights to make hiring decisions. ## Viewing Applications Applications appear in two places: * **Job Posting detail page** — Shows all applications for a specific job, in Kanban or List view * **Application detail page** — Shows everything about a single candidate's application On the job posting page, click any application card (Kanban) or table row (List) to open the detail page. ### Changing Application Status You can move candidates through the pipeline in two ways: * **Kanban drag-and-drop** — Drag a candidate card from one status column to another * **Application detail page** — Use the status stepper at the top: * Click **Move to \[Next Status]** to advance the candidate one stage * Click **Reject Candidate** to reject them at any point The pipeline stages are: **Applied** → **Screened** → **Interviewed** → **Shortlisted** → **Hired** (or **Rejected** as a terminal status). ## Application Detail Page The application detail page is where you review all available information about a candidate. It includes a sidebar with key details and a tabbed content area. ### Sidebar The right sidebar shows a summary of the application: * **Fit Score** — Overall AI-generated match score * **Applied Date** and **Status** * **CV uploaded** status * **AI-Generated Summary** — Quick overview from insights * **Interview details** — Score, language, timing, recording status, and duration * **Contact information** — Email and phone number * **Job Posting details** — Title, location, employment type, salary, and organization Use the three-dot menu in the sidebar for quick actions: * **Send Email** — Opens your email client with the candidate's address * **Copy Phone Number** — Copies the candidate's phone number to your clipboard * **Export PDF** — Downloads the full application as a PDF ### AI Assistant Click **Ask AI** in the page header to open the AI assistant sidebar. You can ask natural-language questions about the candidate and their application, and the AI will answer using all available data. ## Insights Tab The Insights tab appears when AI-generated insights are available. It provides a unified assessment that combines CV evaluation and interview performance. The tab displays: * **Score Cards** — Four metrics at a glance: * CV Score (out of 5, weighted at 30%) * Interview Score (out of 5, weighted at 70%) * Overall Score (weighted combination) * Hiring Recommendation (Strong Hire, Hire, Maybe, or No Hire) * **Executive Summary** — Narrative overview with Fit Score analysis * **Strengths** — Key strengths identified across all data * **Weaknesses** — Areas where the candidate falls short * **Tools & Skills** — Technical tools and skills identified * **Areas for Development** — Growth opportunities * **Risks** — Potential red flags * **Behavioural Observations** — Patterns observed during the interview Each section has **AI Feedback** buttons (thumbs up/down) so you can help improve AI quality over time. If insights haven't been generated yet, they are automatically triggered when a CV evaluation or interview completes. You can also manually refresh them from the Insights tab. See [Application Lifecycle](/concepts/application-lifecycle#combined-insights) for details on scoring weights. ## Interview Evaluation Tab The Interview Evaluation tab shows everything from the candidate's AI interview: ### Interview Playback If a recording is available, a video/audio player lets you watch or listen to the full interview. ### Summary A narrative summary of the interview, organized into sections: * **Overall Summary** — Prose overview of the interview * **Candidate Background** — Background information the candidate shared * **Motivation & Interest** — What motivates the candidate about this role * **Logistical Considerations** — Availability, location preferences, etc. * **Tools & Skills** — Technologies and skills mentioned * **Candidate's Questions** — Questions the candidate asked * **Follow-Up Questions** — Suggested questions for human interviewers ### Interview Questions An accordion list of each question asked during the interview. Expand any question to see: * The candidate's answer (quoted) * The AI's score for that question * Scoring reasoning ### Criteria Scores An accordion list of each evaluation criterion. Expand any criterion to see: * Criterion description * AI score and reasoning * Key moment highlights with timestamps and sentiment indicators (positive, negative, or neutral) ## Pre-Screening Tab The Pre-Screening tab appears when the candidate has completed screening questions. It displays each question with the candidate's answer. If any answers triggered [knockout criteria](/concepts/application-lifecycle#knockout-criteria), they are flagged here. ## Activity Timeline & Notes Tab This tab has two sections: ### Activity Timeline A chronological log of everything that happened with this application — when it was created, when the interview was scheduled, when statuses changed, and more. Each event shows a colored indicator and timestamp. ### Notes A free-text area where you can add internal notes about the candidate. Click **Update Application** to save your notes. ## CV Tab The CV tab handles CV uploads and displays parsed CV data alongside AI evaluation results. ### Uploading a CV If no CV has been uploaded, you'll see an upload prompt. Click **Upload CV** to select a PDF file. Processing happens in the background — the page will update automatically when text extraction and AI evaluation are complete. After uploading a CV, it may take a few moments for the evaluation to appear. The page refreshes automatically once processing is done. ### Viewing CV Data Once processed, the CV tab shows a split-panel view: | Left Panel | Right Panel | | ----------------------------------------------------------------------------------- | ----------------------------------------- | | Parsed CV content (contact info, summary, work experience, education, skills, etc.) | AI evaluation highlights for each section | The parsed data is organized into sections: * **Header** — Name, contact information, professional summary * **Skills** — Identified skills (with AI highlights) * **Work Experience** — Each role with title, company, dates, and bullet points * **Education** — Degrees, institutions, and dates * **Languages** — Languages spoken * **Projects** — Notable projects * **Certificates** — Professional certifications An **Evaluation Overview** card shows the overall CV assessment with scores. ### CV Actions * **Download CV** — Download the original PDF * **Upload CV** — Replace the existing CV with a new one ## What's Next Create and configure job postings in the HR portal. Understand the full hiring pipeline, scoring weights, and evaluation stages.