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Resume and Cover Letter Assignment Overview

This overview provides a structured guide to the Resume and Cover Letter Activity within the InStage platform. It is designed for use in employment centre settings, supporting clients as they prepare and tailor applications to specific job postings.

Updated over a week ago

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Overview: How the Resume and Cover Letter Assignment Works

Clients upload their resume and cover letter to receive tailored feedback based on a specific job posting they are pursuing. The tool scores how well their documents align with the role and provides section‑by‑section suggestions for improvement, helping clients strengthen their applications and increase interview opportunities.

Key Features

  • Job-specific feedback: All feedback is tailored to the precise job posting targeted by the client.

  • Flexible AI involvement: Employment specialists may allow AI to draft content for client refinement, or restrict AI to providing suggestions while clients retain full control.

  • Mock interview integration: Resume content is incorporated into mock interview preparation, ensuring consistency across application and interview practice.

Feedback & Analytics

  • Section-by-section scoring with actionable feedback: Each section of the resume and cover letter receives a rating (missing, poor, good, excellent) along with specific guidance on what to improve.

  • Rubric developed in partnership with Employment Centres: Scoring criteria prioritize alignment between client documents and the targeted job posting. Customization of the rubric is available to reflect local labour market needs.

Example in Practice

The process begins with a client uploading a resume to the platform. With AI-generated content blocked, the resume represents authentic client work. The system immediately evaluates the document against job‑specific criteria, identifying strengths and areas for improvement. During the check‑in, the client revises the resume based on targeted feedback, refining the presentation of skills and experiences. In the final wrap-up stage, clients reflect on how AI suggestions enhanced their resumes for real‑world applications, while employment specialists observe that the process scales efficiently, supporting large caseloads without increasing manual review workload.

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