vs.

Best Dover alternative for AI-assisted recruiting

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SquarePeg vs Dover features at a glance

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Determining Job Requirements
Creating Job Descriptions
Sourcing Active Candidates
Posting to job boards
Managing Active Sourcing
Sourcing Passive Candidates
Identifying Passive Candidates
Uncovering Personal Email Addresses
Creating Passive Campaigns
Managing Passive Campaigns
Following Up with Prospects
Managing Prospects Replies
Evaluating Applicants
Determining which applicants to review
Evaluating Applicants
Managing the Hiring Process
Informing Applicants of Screening Decisions
Scheduling Interviews
Conducting Interviews
Hiring Progress Efficiency
Sending Offer Letters
Reporting and Analytics
Passive Sourcing Engagement
Job Description Conversion
Applicant Approval Rate
URG (Under-Represented Groups)
Hiring Pipeline Performance

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Lorem Ipsum,
Co-Founder and CEO

In-depth comparison of SquarePeg vs Dover

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vs

Determining Job Requirements

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.

Creating Job Descriptions

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.

Sourcing Active Candidates

Posting to Job Boards

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.

Managing Active Sourcing

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.

Sourcing Passive Candidates

Identifying Passive Candidates

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.

Uncovering Personal Email Addresses

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.

Creating Passive Campaigns

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

Managing Passive Campaigns

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.

Following Up with Prospects

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.

Managing Prospects Replies

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.

Evaluating Applicants

Determining which applicants to review

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.

Evaluating Applicants

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.

Managing the Hiring Process

Informing Applicants of Screening Decisions

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.

Scheduling Interviews

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.

Conducting Interviews

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.)

Hiring Progress Efficiency

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.

Sending Offer Letters

SquarePeg's messaging features support attachments, making it easy to send offer letters or any other document to job finalists.

Dover offers similar functionality.

Reporting and Analytics

Passive Sourcing Engagement

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.

Job Description Conversion

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.

Applicant Approval Rate

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.

URG (Under-Represented Groups)

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.

Hiring Pipeline Performance

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.

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Final Verdict

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Cost
Bad
Great
Features
Bad
Great
Sourcing
Bad
Great
Evaluating
Bad
Great
Managing Hiring Process
Bad
Great
Evaluating
Bad
Great

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Cost
Bad
Great
Features
Bad
Great
Sourcing
Bad
Great
Evaluating
Bad
Great
Managing Hiring Process
Bad
Great
Evaluating
Bad
Great

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Don't just take our word for it

Thousands of fast-moving SaaS founders around the world use SquarePeg to find exceptional talent with a fraction of the heavy-lifting

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CEO & Founder

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CEO & Founder

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CEO & Founder

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CEO & Founder

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CEO & Founder

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CEO & Founder

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CEO & Founder

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CEO & Founder

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CEO & Founder

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CEO & Founder

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CEO & Founder

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CEO & Founder

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