Standing Out in the Job Application Process

by · Sep 17, 2025

By Dr. Lindsey Zuloaga, Chief Data Scientist, Hirevue

A cover letter or resume doesn’t predict success on the job—but for many companies, they’re still the primary way candidates are evaluated. That means getting them right is critical. Fortunately, generative artificial intelligence (AI) can help job seekers translate their experience into compelling application materials.

If you’re considering using AI to help with the hiring process, you’re not alone. Hirevue’s annual AI Report found that many job seekers are leveraging AI to automate tedious job search tasks, such as updating resumes (52%), writing cover letters (51%), preparing for interviews (49%), and researching companies (45%).

But using AI effectively is key to success. Here’s how to craft a strong cover letter and set yourself apart in interviews.

1. Use AI to Write an Effective Resume and Cover Letter

Though a cover letter or resume may not always predict job success, some companies still require them—so why not use the opportunity to stand out? Generative AI can help save time and ensure your cover letter is clear, tailored, and engaging.

Here’s how to make the most of it:

  • Create a strong AI prompt: When using AI, provide key details about your experience, such as leadership roles, technical skills, and problem-solving abilities. Also, include the job description and relevant information about the company to help personalize the response.
  • Make it personal: While AI can generate a strong first draft, always review and refine it to ensure it highlights why you’re passionate about the role and how your background uniquely qualifies you.
  • Read it out loud before submitting: AI-generated writing can sometimes sound robotic. Reading your cover letter aloud helps ensure it sounds natural—like something a real person would say.

By leveraging AI, you can craft a compelling cover letter and resume that effectively translates your past experience into a story new employers understand.

2. Master the STAR Method for Interviews

The STAR method (Situation, Task, Action, Result) is a powerful technique for structuring responses in an interview. Employers often ask behavioral questions to assess how you’ve handled challenges in the past, and STAR ensures your answers are clear and concise.

  • Situation: Describe the context of your experience.
  • Task: Explain your specific responsibility in that situation.
  • Action: Detail the steps you took to address the challenge.
  • Result: Share the positive outcome, using metrics if possible.

Practicing with the STAR method can help you feel more confident during interviews. Consider recording yourself or using AI-powered interview tools to receive feedback on clarity and tone.

3. Tell Your Transferable Skills Story

Many employers are embracing skills-based hiring, prioritizing a candidate’s abilities over job titles or degrees. Job seekers often have highly transferable skills from past positions, even in totally different industries — such as leadership, adaptability, and teamwork—but effectively communicating them is crucial.

Here’s how to frame your skills effectively:

  • Identify key skills: Review job postings and identify common themes such as project management, problem-solving, logistics, and cybersecurity.
  • Provide real-world examples: Instead of saying, “I led a unit,” highlight leadership with specifics: “I managed a team of 20, overseeing operations and increasing efficiency by 25%.”
  • Use language friendly to this new job or industry: Replace jargon with industry-specific terms when possible to make your experience more relatable to hiring managers.

Workers can demonstrate their value in any industry by focusing on skills rather than job titles.

Final Thoughts

Landing a new job can feel daunting, but the right preparation can set you apart. Use AI tools to craft a compelling cover letter, practice interview responses with the STAR method, and focus on telling your skills-based hiring story. Employers recognize the value of your past experience—make sure you communicate it effectively.

 

Lindsay Zuloaga

Dr. Lindsey Zuloaga is Chief Data Scientist at Hirevue, the global leader in AI hiring tools, managing a team that builds and validates machine learning algorithms to predict job-related outcomes. Lindsey received her Ph.D. in applied physics from Rice University.