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Overview: How the Resume and Cover Letter Assist Works
The activity supports two usage flows:
Self‑serve by clients and students with tech skills
Clients independently upload their resume and cover letter.
They receive tailored, job‑specific feedback and revise documents directly in the platform.
Staff‑assisted for clients less comfortable with technology
Employment/ Career centre staff take the initiative once a client and or student provides a resume or background information.
Staff can use AI to generate or refine draft content, but clients remain accountable for reviewing and approving changes.
This approach simplifies the process for clients/students while ensuring equitable access to high‑quality application support.
In both flows, the tool scores how well documents align with the targeted role and provides section‑by‑section suggestions for improvement, helping clients and students 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 with accountability:
AI may draft or suggest improvements, but clients/students (or staff with clients/students) must review and refine before finalizing.
This ensures ownership of the resume and accountability for the content.
ATS Score Visibility: Centres can choose whether clients/students see their ATS score and related feedback. Turning this off hides ATS scoring and ATS feedback from client view.
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/Career 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.
ATS scoring option: Centres can enable automated ATS scoring to show how resumes might perform in applicant tracking systems, giving clients insight into real‑world screening processes.
Example in Practice
Self‑serve flow: A client uploads a resume, receives immediate evaluation against job‑specific criteria, and revises based on targeted feedback.
Staff‑assisted flow: A client/student provides resume details to an employment specialist. The specialist uses AI to refine the document, then reviews changes with the client/student during a check‑in. Together, they finalize the resume, ensuring the client/student understands and approves each adjustment.
Employment specialists observe that this dual‑path approach scales efficiently, supporting diverse client/student needs and large caseloads without increasing manual review workload.