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Better Dover alternative for AI-assisted recruiting
SquarePeg offers a more comprehensive and automated feature set without extra charges or limitations on usage.
SquarePeg offers a more comprehensive and automated feature set without extra charges or limitations on usage.
Choose SquarePeg for comprehensive, seamless integration of job posting, sourcing, applicant evaluation, and hiring process management without feature limitations.
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Streamline your recruiting today with SquarePeg's AI-assisted sourcing and screening and native applicant tracking tools.
As the only recruiter on my team, SquarePeg has been a huge help. I know that I am focused on reviewing the most-qualified candidates.
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Choose SquarePeg for comprehensive, seamless integration of job posting, sourcing, applicant evaluation, and hiring process management without feature limitations.
SquarePeg provides insights into the pool of available passive and active talent based on job requirements and targeting criteria. This allows employers to be more strategic and understand the implications of their requirements on available talent.
Dover does not help with this.
SquarePeg uses a brief job explanation and the employer's unique value proposition to write custom, high-converting job descriptions. After sourcing starts, SquarePeg shares suggestions for improving the job description based on applicant conversion and campaign replies.
Dover requires users to answer a series of questions for AI to generate a job description and does not provide insights to improve the job description once sourcing starts.
SquarePeg offers a self-service LinkedIn integration that gives employers the option to post their jobs on SquarePeg's LinkedIn page or the employer's LinkedIn page. All LinkedIn posts are sponsored at no extra cost.
Dover allows users to post to LinkedIn, but charges extra to sponsor the post.
LinkedIn posts (and passive sourcing campaigns) are tied to the sourcing status of the job in SquarePeg, making it easy to pause both passive and active sourcing.
Dover requires users to manually control job postings.
SquarePeg generates targeting criteria based on an employer's job description and automatically identifies top candidates.
Dover requires users to manually enter targeting criteria and select passive candidates for targeting unless they pay extra for their “autopilot” feature.
SquarePeg automatically finds personal email addresses for passive campaigns and continuously targets new candidates based on applicant volume.
Dover charges for "email credits" and limits access to their candidate databases.
SquarePeg builds a custom sourcing campaign without additional employer input by using the employer's job description and unique value proposition.
Dover offers similar functionality
SquarePeg's passive sourcing email campaigns (and LinkedIn posts) are tied to the sourcing status of the job in SquarePeg, making it easy to pause both passive and active sourcing.
Dover requires users to manage individual sourcing efforts manually.
SquarePeg allows users to create email campaigns with multiple sequences and automatically stops the campaign when a prospect replies to an email or applies to the job.
Dover offers similar functionality.
SquarePeg handles replies from prospects and summarizes them, enabling employers to improve their job descriptions if necessary.
Dover requires users to manually respond to campaign replies.
SquarePeg only shows employers a stack-ranked list of the top 5% of applicants and provides the option to view applicants below this threshold. Applicants can see where they are in the hiring process and all unreviewed or uncontacted applicants are notified when a job is closed.
Dover allows users to filter applicants using natural language, but this still requires manual work on the user's part to identify the top 5% of applicants. Additionally, Dover doesn’t allow users to filter using criteria not found in the applicant’s resume.
SquarePeg’s matching algorithm evaluates all applicants equally by taking into account a comprehensive set of factors such as location, willingness to relocate, sponsorship requirements, desired salary, work location preferences, education, relevant skills, startup experience, management levels, work experience, screening questions, and personality traits using a proprietary behavioral assessment.
Dover lets users filter applicants using natural language, but does not offer any type of applicant scoring or summary. Users are still required to manually review individual resumes.
SquarePeg allows employers to enable customized automated messages to inform applicants of screening decisions. Applicants can see where they are in the hiring process at all times and all unreviewed or uncontacted applicants are notified when a job is closed.
Dover offers automated messages and notifications when jobs are closed, but does not have a way for applicants to check their current status.
SquarePeg allows users to create unlimited message templates and assign them to specific hiring pipeline stages. These templates can include calendar scheduling links to quickly set up interviews with candidates
Dover offers native interview scheduling capabilities.
SquarePeg provides a discussion area for each job and individual candidate, allowing users to record interview notes and collaborate with the hiring team.
Dover offers interview rubrics and can generate custom interview questions for each candidate using AI. (However, the UX is poor and difficult to use.)
SquarePeg includes hiring pipeline reminders to help users stay on top of time-in-stage. Users receive email notifications if a candidate has stayed in a specific stage for too long. SquarePeg also allows candidates to track their status through a separate candidate portal.
Dover does not help with this.
SquarePeg's messaging features support attachments, making it easy to send offer letters or any other document to job finalists.
Dover offers similar functionality.
SquarePeg provides conversion analytics for passive sourcing, including email open rates, landing page views, and reply rates. This data helps improve future candidate targeting criteria.
Dover provides reply rates and interested replies but does not provide open or click rates.
SquarePeg offers conversion analytics for job descriptions, such as impressions, time-on-page, and the number of views that convert to submitted resumes. This data helps users enhance their job descriptions to improve applicant conversion.
Dover does not help with this.
SquarePeg provides users with the percentage of applicants identified as a match by their matching algorithm. This information enables users to refine their candidate targeting criteria.
Dover offers similar functionality.
SquarePeg provides a breakdown of the gender and ethnicity of matched applicants, as well as pass-through rates for the hiring pipeline. This data helps users understand how to better represent underrepresented groups.
Dover provides URG data, but does not let users filter by gender and ethnicity separately.
SquarePeg provides the average time spent by candidates in each hiring stage and the percentage of candidates disqualified or withdrew in each stage. These metrics help optimize key recruiting metrics like time-in-stage and pass-through rate.
Dover provides pass-through rates but does not provide time-in-stage data.
SquarePeg excels with sourcing, screening and applicant tracking; Dover lacks automations and charges extra for comparable services.
SquarePeg provides comprehensive, integrated recruiting services at a predictable cost, without the extra fees associated with Dover.
Dover restricts features and adds extra fees, lacking the comprehensive, integrated services that SquarePeg offers at a predictable cost.
Hundreds of teams use SquarePeg to automate sourcing efforts, identify their most qualified applicants, and ensure an effective hiring process.
As the only recruiter on my team, SquarePeg has been a huge help. I know that I am focused on reviewing the most-qualified candidates.
SquarePeg always provides strong candidates!
SquarePeg is essential for getting the best candidates in the most efficient, cost-effective way with the best candidate experience.
The time savings, visually appealing candidate profiles, high caliber of candidates, and seamless integration with our ATS make it an excellent choice for lean teams.
SquarePeg is set-it-and-forget-it. The caliber of candidates is better than we've seen with some of the other recruiting platforms we’ve tried.
We needed to rapidly backfill a critical role and SquarePeg helped us pack the funnel, orchestrate interviews, and fill the role in less than 4 weeks.
Very intuitive to use and I love seeing a percentage match for each job applicant.
It’s impressive how accurately SquarePeg matches candidates based on a job description. The whole tool is incredibly easy to use and very cost-effective.
SquarePeg has helped us find some of the strongest candidates we’ve ever had. Strong candidate quality and quantity.
SquarePeg simplifies the process of recruitment and hiring. We love the assistance in vetting qualified candidates, ultimately saving us time and cost.
SquarePeg has helped our small team focus on other priorities and increase our hiring efficiency. We’ve made 29 new hires through SquarePeg so far!
SquarePeg has an easy-to-use interface with real-time insights and is a seamless extension of our ATS, promoting a positive candidate experience.
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Publish a job for free and experience for yourself how SquarePeg simplifies the process of recruitment and increases hiring efficiency.
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AI-assisted recruiting for modern technology companies.
