Harver vs Infor Talent Science

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Our analysts compared Harver vs Infor Talent Science based on data from our 400+ point analysis of Talent Assessment Tools, user reviews and our own crowdsourced data from our free software selection platform.

Product Basics

Harver is a sophisticated software solution designed to streamline talent assessments and optimize the hiring process. It offers a comprehensive suite of tools that facilitate pre-employment assessments, enabling organizations to evaluate candidates' skills, personality traits, and cultural fit efficiently. Harver is particularly well-suited for medium to large enterprises that require a scalable and data-driven approach to talent acquisition, as it helps reduce bias and improve hiring accuracy.

Key benefits of Harver include enhanced candidate experience, reduced time-to-hire, and improved quality of hire. Popular features encompass customizable assessments, real-time analytics, and seamless integration with existing HR systems. Users appreciate its intuitive interface and the depth of insights it provides, which are crucial for making informed hiring decisions.

While specific pricing details are not readily available, Harver typically offers flexible pricing models based on the number of assessments or users, with payment options that may include monthly or annual subscriptions. For precise pricing tailored to individual needs, it is recommended to contact SelectHub for a detailed quote.

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Infor Talent Science is a cloud-based tool that uses deep cognitive and behavioral candidate assessments and internal performance metrics to identify top talent for open roles. It analyzes candidates' behavioral makeup to identify forces driving team productivity and collaboration. Candidate evaluations based on role-specific performance metrics and KPIs assist better person-job fit decisions. See our full Infor Talent Science review.

To explore other popular solutions that Infor offers, visit our Infor company page.
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Product Insights

  • Efficient Candidate Selection: Harver streamlines the candidate selection process by automating assessments and providing data-driven insights, reducing the time and effort required for recruitment.
  • Unbiased Evaluation: The platform minimizes bias in candidate evaluations, ensuring that decisions are based on objective data rather than subjective judgments, contributing to fair and equitable hiring practices.
  • Enhanced Quality of Hire: Harver's assessments help organizations identify candidates whose skills and traits align with job requirements, resulting in improved quality of hires and reduced turnover rates.
  • Customization and Scalability: Harver offers customizable assessments, allowing organizations to tailor evaluations to specific roles and industries, making it suitable for businesses of various sizes and needs.
  • Automated Data Insights: The platform provides data-driven insights and analytics, empowering organizations to make informed decisions and optimize their recruitment strategies for better results.
  • Improved Candidate Experience: Harver offers an engaging and interactive candidate experience, making the assessment process enjoyable and ensuring a positive first impression of the organization.
  • Optimized Workforce Diversity: Harver's data-driven approach helps organizations promote diversity and inclusion by ensuring that a broader range of candidates is considered and evaluated fairly.
  • Reduction in Hiring Costs: By automating assessments and reducing turnover rates, Harver can lead to cost savings in the recruitment process, making it a cost-effective solution for businesses.
  • Objective Decision-Making: The platform equips organizations with objective metrics, reducing subjectivity in the hiring process and increasing the likelihood of successful hires.
  • Scalable Integration: Harver seamlessly integrates into existing HR systems, making it a versatile solution that adapts to an organization's technology infrastructure.
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  • Improved Retention: Increase retention from between 10% to 45% using predictive data and big data turnover analysis to enable role-specific success. 
  • Single-value Assessment Approach: Save time evaluating potential hires by mapping candidate scores from previous assessments to present behavioral benchmarks in the system. 
  • Data-confident Decisions: Leverage accurate candidate scores and role alignment data to make optimal hiring decisions. Gain actionable insights that add value to hiring decisions. 
  • Ph.D. I/O Support: Rely on industrial and organizational psychologists to review and validate auto-generated talent selection criteria and recommend industry-specific recruiting patterns. Leverage a scientific assessment process developed by Ph.D. experts to evaluate candidates equitably. 
  • Bias Elimination: Leverage a data-driven perspective based on skill, knowledge and competencies to hire the right person for the job without letting unconscious bias seep into the process. 
  • High Scalability: Apply tailored hiring criteria that best reflect present employee populations to improve hiring success. Adjust candidate assessment benchmarks according to changes in organizational structures. 
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  • Customizable Assessments: Harver offers customizable assessments that organizations can tailor to specific roles and industries, ensuring evaluations are aligned with unique job requirements.
  • Automated Candidate Selection: The platform automates the candidate selection process, saving time and effort by evaluating candidates based on predefined criteria and data-driven insights.
  • Unbiased Evaluations: Harver's assessments are designed to minimize bias in candidate evaluations, promoting fair and equitable hiring practices by basing decisions on objective data.
  • Data-Driven Insights: The platform provides organizations with data analytics and insights, offering deeper understanding and valuable information to inform recruitment strategies.
  • Scalable Integration: Harver seamlessly integrates into existing HR systems, adapting to an organization's technology infrastructure and ensuring a smooth implementation process.
  • Candidate Experience: Harver offers an engaging and interactive candidate experience through its assessments, enhancing the overall candidate journey and leaving a positive impression of the organization.
  • Quality of Hire: Harver's assessments help organizations identify candidates whose skills and traits closely match job requirements, leading to improved quality of hires and reduced turnover rates.
  • Workforce Diversity Metrics: The platform tracks diversity metrics to support organizations in their diversity and inclusion initiatives, ensuring a broader range of candidates is considered and evaluated fairly.
  • Reduction in Hiring Costs: By automating assessments and reducing turnover rates, Harver can lead to cost savings in the recruitment process, making it a cost-effective solution for businesses.
  • Objective Decision-Making: Harver equips organizations with objective metrics, reducing subjectivity in the hiring process and increasing the likelihood of successful hires based on data-driven insights.
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  • Behavioral Insights: Capture internal performance spectrums to develop and set role-based hiring benchmarks. Evaluate candidates based on 13 different quality metrics and 24 core characteristics based on employee data and performance KPIs to match applicants within predefined impact ranges. 
  • Talent Assessments: Evaluate candidates based on scientific assessments and align response patterns with organizational DNA to identify best matches. Accurately pinpoint applicants' cognitive abilities by applying adaptive testing that automatically calibrates difficulty levels of questions and cross-examines with trick questions. 
  • Role-specific Predictive Profiles: Evaluate key qualities and characteristics of candidates to determine compatibility for different open positions. Objectively grade scores and view similarities or differences between candidate scores and performance characteristics. 
  • Onboarding Management: Designs the first 90 days of integrating new hires based on work preferences, including motivators, struggles and management's ability to increase performance. Bring new hires up to speed by making reports directly available to new hires and allow managers to track rack role acclimatization progress on the activity tracking dashboard. 
  • Interview Tool Kit: Use auto-generated questionnaires developed by Ph.D. I/O psychologists. Rely on the system to auto-assign question sets to suitable candidates and job profiles. Measure alignment during interviews by tracking how candidates respond with a quick reference to ideal answers. 
  • Development Reports: Assess strengths and opportunities of new hires to assist with coaching and career development. Access performance insight from the onboarding period to identify different positions or better-aligned departments for new hires. 
  • ATS Integration: Connect the platform with existing applicant tracking systems to streamline talent acquisition. Transfer applications and candidate profiles from recruiting systems or ATS to the platform where candidates can complete assessments. 
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Product Ranking

#7

among all
Talent Assessment Tools

#3

among all
Talent Assessment Tools

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Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

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Assessments Dashboard And Reporting Platform And Security Capabilities Scoring Tools Screening And Pre-hire 69 100 89 100 92 0 25 50 75 100
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User Sentiment Summary

Excellent User Sentiment 7 reviews
Great User Sentiment 20 reviews
100%
of users recommend this product

Harver has a 'excellent' User Satisfaction Rating of 100% when considering 7 user reviews from 1 recognized software review sites.

89%
of users recommend this product

Infor Talent Science has a 'great' User Satisfaction Rating of 89% when considering 20 user reviews from 2 recognized software review sites.

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4.1 (8)
5.0 (7)
4.7 (12)

Awards

Harver stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

SelectHub research analysts have evaluated Infor Talent Science and concluded it earns best-in-class honors for Scoring Tools and Screening and Pre-hire.

Scoring Tools Award
Screening and Pre-hire Award

Synopsis of User Ratings and Reviews

Efficient Candidate Selection: Users appreciate Harver for its ability to automate and streamline the candidate selection process, saving time and effort by providing data-driven insights that facilitate decision-making.
Unbiased Evaluations: Users commend Harver for its efforts in minimizing bias during candidate evaluations, promoting fair and equitable hiring practices by relying on objective data rather than subjective judgments.
Data-Driven Insights: Users find value in the data-driven insights provided by Harver, which empower organizations to make informed recruitment decisions, optimize strategies, and enhance their overall hiring process.
Customization and Scalability: Users like the flexibility Harver offers in creating customizable assessments tailored to specific roles and industries, making it suitable for businesses of various sizes and needs.
Enhanced Candidate Experience: Candidates benefit from an engaging and interactive experience during assessments, leaving a positive first impression of the organization and ensuring a more enjoyable assessment process.
Quality of Hire: Users acknowledge that Harver's assessments lead to improved quality of hires, with candidates whose skills and traits closely match job requirements, reducing turnover rates.
Workforce Diversity Metrics: Users recognize Harver's role in promoting diversity and inclusion, ensuring a broader range of candidates is considered and evaluated fairly in the hiring process.
Cost Savings: Users report cost savings in the recruitment process through reduced turnover rates and efficient assessments, making Harver a cost-effective solution for businesses.
Objective Decision-Making: Users appreciate that Harver equips organizations with objective metrics, reducing subjectivity in hiring decisions and increasing the likelihood of successful hires.
Seamless Integration: Users find Harver's integration capabilities valuable, as it seamlessly integrates into existing HR systems, adapting to the organization's technology infrastructure.
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Predictive Analytics: Provides insights into a candidate's potential for success in a specific role, reducing the risk of bad hires and improving employee retention.
Reduced Time to Hire: Streamlines the hiring process by quickly identifying top candidates, allowing companies to fill open positions faster.
Improved Quality of Hire: Helps organizations make data-driven hiring decisions, leading to a higher quality of candidates who are a better fit for the company culture and job requirements.
Enhanced Candidate Experience: Offers a positive and engaging experience for candidates, improving employer branding and attracting top talent.
Bias Reduction: Helps mitigate unconscious bias in the hiring process by focusing on objective data and job-related criteria.
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Candidate Comfort: Some candidates find the automated assessment process less conventional, potentially affecting their perception and comfort with the hiring process.
Data Quality Dependency: The accuracy of assessments relies on the completeness and accuracy of the data provided, making data quality a critical factor in the platform's effectiveness.
Customization Complexity: Creating custom assessments may require additional time and effort, and some organizations may find it challenging to define specific evaluation criteria.
Training Needs: Users may need training and guidance to fully utilize the platform's capabilities, potentially adding to the implementation time.
Candidate Experience Variability: Some candidates may have varying experiences with the assessments, and their perception may differ based on their familiarity and comfort with such evaluation methods.
Subjectivity in Metrics: Despite efforts to minimize bias, there may still be subjectivity in the interpretation of assessment data, and the definition of evaluation criteria, which organizations need to manage carefully.
Industry Suitability: Harver may be more suited to industries where cognitive and emotional traits play a significant role in job performance, potentially limiting its applicability to some sectors.
Integration Complexity: Integrating Harver into existing HR systems and processes may require additional resources and expertise, potentially posing challenges for some organizations.
Cost Considerations: While Harver offers valuable capabilities, users should consider the cost implications, which may affect the platform's suitability for small businesses or organizations with budget constraints.
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Limited Customization: The assessments offered by Infor Talent Science might not be as customizable as some users require, potentially leading to a mismatch between the assessment content and the specific requirements of certain roles or industries.
Implementation Challenges: Integrating Infor Talent Science with existing HR systems or workflows can pose technical challenges for some organizations, requiring additional IT support and resources during the implementation phase.
Cost Considerations: Depending on the size of the organization and the desired level of service, the cost of using Infor Talent Science might be a concern for some businesses, especially smaller ones with limited budgets.
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User reviews of Harver offer a comprehensive view of the platform's performance. Its strengths stand out, particularly in terms of efficient candidate selection. Users appreciate the time and effort saved through automated assessments and data-driven insights, streamlining the recruitment process. Harver's emphasis on unbiased evaluations is another key highlight, promoting fair and equitable hiring practices by relying on objective data. The platform's ability to provide data-driven insights and customizable assessments also garners praise, empowering organizations to make informed decisions and tailor evaluations to their specific needs. A positive candidate experience is a noted advantage, as Harver's interactive assessments leave candidates with a favorable impression. On the downside, some users express concerns about candidate comfort with the automated assessment process, suggesting it may not align with everyone's expectations. The accuracy of assessments is reliant on data quality, which can be a limitation. Customization complexity and training needs are reported as potential challenges. Variability in candidate experiences, subjectivity in metrics, and industry suitability are noted considerations. Integration complexity and cost implications are other aspects that users highlight. In comparison to similar products, users appreciate Harver's objective decision-making and its ability to promote diversity and inclusion. However, they advise potential users to carefully consider cost implications, customization complexity, and industry suitability. User reviews provide valuable insights, emphasizing the platform's strengths while addressing potential limitations that organizations should consider.

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Infor Talent Science is a cloud-based talent management solution that leverages predictive analytics to assist companies in making more informed decisions regarding hiring, developing, retaining, and redeploying their workforce. The platform's core functionality revolves around assessments that evaluate candidates' behavioral traits and cognitive abilities to predict their potential for success in specific roles. While Infor Talent Science has received positive feedback for its comprehensive features and ease of use, some users have expressed concerns about its cost and limitations. Users appreciate the platform's ability to provide insights into candidates' behavioral tendencies, which can help identify individuals who are likely to thrive in collaborative environments and contribute to team productivity. The use of role-specific performance metrics and key performance indicators (KPIs) further enhances the platform's ability to match candidates with suitable positions, leading to improved person-job fit and reduced turnover. However, the platform's premium pricing structure may pose a challenge for smaller organizations with limited budgets. Additionally, while Infor Talent Science offers a range of features, it may not seamlessly integrate with all existing HR systems, potentially requiring additional investment in middleware or custom integrations. Infor Talent Science is well-suited for medium to large enterprises seeking a robust talent management solution that emphasizes predictive analytics and behavioral assessments. Organizations with complex hiring needs and a focus on building high-performing teams are likely to benefit the most from the platform's capabilities. However, smaller businesses or those with tighter budget constraints may need to carefully evaluate the cost-benefit ratio before committing to Infor Talent Science.

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