Pymetrics vs. Plum AI Testing: A Comprehensive Comparison (2025)

 

Pymetrics vs. Plum AI Testing: A Comprehensive Comparison (2025)

Pymetrics and Plum are two leading AI-powered platforms revolutionizing talent assessment processes. Both tools leverage advanced AI and psychometric testing to match candidates with roles based on cognitive, emotional, and behavioral traits. While Pymetrics focuses on neuroscience-based games to assess candidates, Plum emphasizes workplace competencies and predictive analytics for hiring decisions. Below is a detailed comparison of these platforms, highlighting their features, pricing, strengths, and ideal use cases.

Overview of Pymetrics

Pymetrics uses neuroscience-based games combined with bias-free AI to evaluate candidates’ cognitive and emotional traits. It aims to minimize unconscious bias in hiring while improving job fit.

Key Features of Pymetrics

1. Neuroscience-Based Games:

   • Candidates play interactive games that measure traits like attention, memory, risk tolerance, and emotional intelligence.

   • Results provide insights into behavior beyond traditional resumes.

2. Bias-Free AI:

   • Employs blind pre-employment screening to reduce unconscious bias in hiring decisions.

3. Candidate Matching:

   • Matches candidates with roles based on their unique behavioral profiles.

4. Diversity Recruiting:

   • Helps companies improve diversity by focusing on objective criteria rather than subjective judgments.

Pricing:

Custom pricing based on company size and hiring needs; free for candidates.

Best For:

• Companies prioritizing diversity and inclusion in hiring.

• Organizations seeking innovative ways to assess soft skills.

Overview of Plum

Plum focuses on evaluating candidates' workplace competencies, innate abilities, and motivations using AI-driven psychometric assessments. It helps recruiters identify the best fit for specific roles and teams.

Key Features of Plum

1. Workplace Competency Assessments:

   • Evaluates candidates against competencies like adaptability, innovation, teamwork, and leadership.

2. Predictive Analytics:

   • Uses data-driven insights to forecast candidate performance and retention.

3. Customizable Assessments:

   • Tailors assessments to reflect company values and culture for better alignment.

4. Talent Recommendations:

   • Provides actionable recommendations for hiring managers based on candidate profiles.

Pricing:

Custom pricing tailored to organizational needs; free trial available for new users.

Best For:

• Companies seeking data-backed insights for hiring decisions.

• Organizations focused on aligning candidates with team dynamics and company culture.

Comparison Table

Feature	Pymetrics	Plum
Assessment Type	Neuroscience-based games	Psychometric competency tests
Focus Area	Cognitive & emotional traits	Workplace competencies & motivations
Bias Reduction	Blind pre-employment screening	Predictive analytics
Customization	Limited	High
Pricing	Custom	Custom
Target Audience	Diversity-focused organizations	Companies prioritizing team alignment

Strengths and Weaknesses

Pymetrics Strengths

1. Interactive game-based assessments enhance candidate engagement.

2. Proven impact on diversity hiring (e.g., Unilever reported a 16% increase in diversity).

3. Results are reusable across multiple companies using the platform.

Pymetrics Weaknesses

1. Limited customization options compared to Plum.

2. Neuroscience-based games may not fully capture workplace-specific skills.

Plum Strengths

1. Highly customizable assessments tailored to company values and roles.

2. Predictive analytics improve retention and job satisfaction by matching candidates with ideal roles.

3. Focuses on workplace-specific competencies rather than general traits.

Plum Weaknesses

1. Higher cost for advanced features compared to Pymetrics.

2. May require more time to implement tailored assessments.

Use Cases

Best For Pymetrics:

1. Companies aiming to reduce unconscious bias in hiring processes.

2. Organizations seeking engaging assessments that go beyond traditional methods.

3. Diversity-focused recruitment strategies.

Best For Plum:

1. Businesses prioritizing predictive analytics for long-term employee success.

2. Teams looking for competency-based assessments tailored to specific roles or company culture.

3. Companies requiring actionable insights for workforce planning.

Recent Developments

1. A Harvard Business Review study revealed that companies using Pymetrics reported a 30% increase in employee retention due to better job-candidate fit12.

2. Plum has expanded its capabilities by integrating predictive analytics into its platform, helping companies forecast performance metrics like productivity and retention23.

Conclusion

Both Pymetrics and Plum offer powerful tools for enhancing hiring processes through AI-driven assessments:

• Choose Pymetrics if you prioritize diversity recruiting or want engaging neuroscience-based games that minimize unconscious bias.

• Opt for Plum if you need highly customizable psychometric tests focused on workplace competencies and predictive analytics for long-term success.

For organizations seeking innovative ways to improve hiring outcomes while aligning talent with company goals, these platforms provide valuable solutions tailored to modern workforce demands