Quick Links
Overview: How the Resume and Cover Letter Assignment Works
Students upload their resume and cover letter to receive tailored feedback based on a specific job posting they're applying to. The tool scores how well their documents align with the role and provides section-by-section suggestions for improvement.
Key Features
Job-specific feedback: All feedback is tailored to the precise job posting targeted by the student.
Flexible AI involvement: Instructors may allow AI to draft content for student refinement, or restrict AI to providing suggestions while students retain full control.
Mock interview integration: Resume content is incorporated into mock interview reference data.
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 institutions: Scoring criteria prioritize alignment between student documents and the targeted job posting. Customization of the rubric is available.
Example in Practice
The process begins with a student uploading a resume to the platform. With AI-generated content blocked, the resume represents authentic student work. The system immediately evaluates the document against job-specific criteria, identifying strengths and areas for improvement. During the check-in, the student revises the resume based on targeted feedback, refining the presentation of skills and experiences. In the final stage, students reflect on how AI suggestions enhanced their resumes for real-world applications, while staff observe that the process scales efficiently, supporting large cohorts without increasing manual grading workload.