SiftFirst: An Explainable, Fair, and Efficient Resume Screening Tool for Small Teams

Research context and background

SiftFirst is a browser-based ranking assistant designed to help hiring teams manage the overwhelming volume of job applications. It acts as a first-pass screening tool that allows teams to set their own criteria, rank every applicant, and see the evidence behind each score in minutes. The tool is built for small teams who want to focus on the people who rise to the top without needing complex hiring software or migrating to a new Applicant Tracking System.

Benefits

SiftFirst offers several key advantages for hiring managers and small teams. First, it provides explainable and defensible decisions. Unlike black-box algorithms, every score shows the exact quote from the resume that justifies the rating. This allows hiring managers to verify every decision in seconds. The process is designed to be fair, consistent, and defensible, with a tamper-evident audit trail that records every step of the screening.

Second, users retain full control over the hiring rubric. The tool suggests a starting point based on the job description, but users can edit, add, or remove criteria and adjust weights live. The ranking reorders instantly as weights are changed, allowing for dynamic refinement without re-running the entire screen.

Third, the tool offers comprehensive interview support. Users can chat with the applicant pool in plain English to search by meaning rather than just keywords. For finalists, the tool generates tailored interview questions and scorecards graded on the same rubric used for screening. Teams can also invite colleagues to review the shortlist and add their own interview scores. Because billing is based on candidates screened rather than seats, adding extra reviewers costs nothing.

Finally, SiftFirst prioritizes data privacy and compliance. Applications are used solely to produce the screening results and are never used to train AI models. Users can delete any specific screening or their entire account and all associated data at any time. The tool supports explainable hiring processes, aligning with free plain-English guides on AI-hiring rules.

Use Cases

SiftFirst is ideal for small hiring teams facing a flood of resumes. It is particularly useful when teams receive dozens of applications for a single role, many of which may be AI-generated and difficult to distinguish from genuine candidates. The tool helps teams reclaim their time by automating the initial screening while maintaining human oversight.

The process involves three simple steps. First, the user pastes their job description. The tool reads it and suggests criteria that matter for the role, such as experience, skills, and culture fit. Users can edit this rubric to reflect their specific needs and set the weight for each criterion. Second, users drop the resumes. They can paste text directly or upload PDFs, DOCX files, or CSV exports. The tool scores every candidate against the custom rubric. Third, the user reviews the ranked shortlist. The system presents a ranked list of candidates with direct quotes from the resume serving as evidence for each score. Users can read the evidence, adjust scores if they disagree, and export the results to CSV.

The tool supports various file formats including PDFs, DOCX files, ZIP exports, and CSVs. A pile of 25 resumes can be screened in about a minute. Users can drop up to 1,000 resumes in a single screening. This makes it suitable for roles that attract a high volume of applicants where manual review is not feasible.

Pricing

SiftFirst uses a metered pricing model based on the number of candidates screened, not by the number of seats. This means adding extra reviewers to a team costs nothing extra. The service offers a free plan that includes 50 candidates per month with no credit card required. Paid plans start at $39 per month for 500 candidates. There is also a no-signup demo available that covers up to 15 candidates.

Vibes

While specific customer testimonials are not detailed in the provided information, the tool is designed with user feedback in mind. The ability for users to edit criteria live and see rankings reorder instantly suggests a focus on user experience and flexibility. The emphasis on transparency, where every score is backed by a direct quote, addresses common concerns about fairness and bias in automated hiring tools. The option to delete all data at any time also signals a commitment to user trust and privacy.

Additional Information

SiftFirst operates entirely in the browser, requiring no setup or account creation to try. This low barrier to entry makes it accessible for teams looking to test the tool quickly. The company notes that it is built for defensible screening and data privacy. Applications are used solely to produce the screening results and are never used to train AI models. Users are directed to consult official guides or legal counsel for specific legal advice regarding AI-hiring rules. The tool aims to empower hiring teams to reclaim their time and hire with confidence by automating the initial screening while maintaining human oversight through explainable evidence and customizable rubrics.