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TBH vs. Metaview: Which Recruitment Feedback Tool is Best for You?
Updated: Tue, Mar 25, 2025
Kolaru Gideon Mosimiloluwa
For your hiring team, making informed hiring decisions quickly can mean the difference between securing top candidates and losing them to competitors. The recruitment process has evolved significantly in recent years, with technology playing an increasingly vital role in streamlining workflows and enhancing decision-making. Today we will be comparing two innovative tools that have emerged to address the crucial feedback component of recruitment: TBH and Metaview.
These platforms take different approaches to solving the same fundamental problem: how to capture, analyze, and leverage interviewer feedback effectively. While TBH focuses on humanizing the feedback process through voice-enabled input and structured templates, Metaview harnesses AI to transcribe and analyze interview conversations directly.
This comprehensive comparison explores both tools in depth, examining their features, strengths, and potential limitations to help you determine which solution aligns best with your organization's recruitment strategy and goals.
What is TBH?
TBH positions itself as a tool designed to humanize recruitment feedback. Its core philosophy centers on making feedback collection intuitive and efficient, addressing the common challenge of feedback delays that slow down hiring decisions and create negative candidate experiences.
Key Features of TBH
- Pre-built, Editable Feedback Forms TBH eliminates the need to create feedback forms from scratch by providing customizable scorecard templates. These templates can be tailored to specific roles, departments, or skill sets, ensuring that feedback is structured and consistent while still allowing for flexibility. Recruiters can quickly implement standardized evaluation criteria across the organization while giving hiring managers the ability to customize questions for specific positions.
- Voice-Enabled Feedback Collection Perhaps TBH's most distinctive feature is its voice-enabled feedback functionality. Interviewers can simply speak their thoughts immediately after an interview, dramatically reducing the friction associated with typing detailed feedback. The system automatically transcribes these verbal inputs into written feedback, making it easy for busy hiring managers to share their insights without interrupting their workflow. This approach has been shown to increase feedback completion rates and improve the depth and authenticity of the feedback provided.
- Instant Hire/No-Hire Recommendations TBH automatically analyzes and summarizes feedback to generate clear hire/no-hire recommendations. The platform aggregates inputs from multiple interviewers, identifies patterns, and presents decision-makers with actionable insights. This feature accelerates the decision-making process and helps ensure that hiring choices are based on comprehensive input rather than the opinions of the most vocal team members.
- Enhanced Candidate Experience By facilitating timely feedback collection, TBH helps organizations prevent candidate ghosting and maintain strong relationships with potential hires. The structured nature of the feedback also makes it easier to provide candidates with meaningful insights about their performance, whether or not they ultimately receive an offer. This transparency can significantly enhance the candidate experience and strengthen your employer brand.
- Comprehensive Candidate Insights TBH tracks feedback trends over time, helping recruiters and hiring managers identify the characteristics and qualifications that distinguish successful candidates. These insights can be used to refine job descriptions, interview questions, and evaluation criteria for future hiring initiatives, creating a continuous improvement loop in your recruitment process.
- Improved Employer Branding Organizations that provide transparent, professional feedback processes tend to enjoy stronger employer branding. Even candidates who don't receive offers are more likely to speak positively about companies that handle rejection respectfully and constructively. TBH's structured approach to feedback helps ensure that all candidates receive thoughtful, consistent communication.
- Flexible Pricing TBH offers a cost-effective solution with various pricing tiers, making it accessible for smaller teams and startups as well as larger enterprises. This flexibility allows organizations to scale their investment in the platform as their hiring needs grow.
What is Metaview?
Metaview takes a fundamentally different approach to recruitment feedback by focusing on the interview itself rather than post-interview impressions. This AI-powered platform records, transcribes, and analyzes interviews to extract structured insights directly from the conversation.
Key Features of Metaview
- AI-Powered Interview Transcription Metaview automatically records and transcribes interview conversations with high accuracy. This creates a verbatim record of what was discussed, eliminating reliance on interviewer memory and note-taking. The transcriptions serve as objective documentation that can be reviewed by decision-makers who weren't present in the original interview, ensuring that all stakeholders have access to the same information.
- Actionable Hiring Insights The platform's AI engine analyzes interview transcripts to identify key themes, skills discussions, and candidate responses. This analysis can detect patterns that human interviewers might miss, such as how much time was spent discussing specific competencies or how thoroughly a candidate addressed particular questions. These insights help support data-driven hiring decisions based on what actually happened in the interview rather than subjective impressions.
- Integration with ATS Platforms Metaview integrates seamlessly with leading applicant tracking systems, allowing for smooth data flow between different components of your recruitment tech stack. This integration minimizes manual data entry and helps maintain a single source of truth for candidate information.
- Time-Saving Automation By automating the transcription and initial analysis of interviews, Metaview reduces the need for manual note-taking. This allows interviewers to focus fully on engaging with candidates, asking insightful follow-up questions, and assessing interpersonal fit without the distraction of documentation. The time saved on note-taking and manual analysis can be reallocated to other high-value recruitment activities.
- Objective Hiring Decisions Metaview's AI-driven analysis helps remove bias from the interview feedback process by focusing on what was actually said rather than how interviewers felt. This can be particularly valuable for organizations committed to diversity and inclusion, as it provides an additional layer of objectivity in the evaluation process.
Feature-by-Feature Comparison
Interview Recording & Transcription
TBH does not offer interview recording or transcription functionality. Instead, it focuses on capturing structured feedback immediately after the interview. While this approach is efficient, it means that the platform relies on interviewer recall and interpretation rather than direct documentation of the conversation.
Metaview specializes in interview recording and transcription, creating a verbatim record of the entire interview. This comprehensive documentation allows for thorough review and analysis but requires proper compliance with recording consent laws and robust data security measures. The transcription capability provides an objective record that can be particularly valuable for legal compliance and dispute resolution.
Feedback Collection Methodology
TBH employs a structured approach to feedback collection through customizable templates and voice-to-text functionality. The voice input option significantly reduces the friction of providing feedback, leading to higher completion rates and more authentic insights. The structured templates ensure consistency across different interviewers and roles.
Metaview extracts feedback insights directly from the interview through AI analysis rather than collecting explicit feedback from interviewers. While this approach eliminates the need for a separate feedback step, it may miss nuanced impressions that aren't clearly articulated during the interview itself.
Which is better? TBH offers a more deliberate feedback collection process that encourages reflection and explicit evaluation. Organizations that value thoughtful, structured assessments from their interviewers will likely prefer this approach. Metaview's method is more efficient but may not capture the full range of interviewer impressions, particularly regarding aspects like cultural fit or professional demeanor that might not be directly discussed during the interview.
AI Implementation and Analysis
TBH uses AI primarily to analyze and synthesize feedback that has already been collected from interviewers. The platform can identify patterns across multiple interviews and generate recommendations, but its AI is focused on processing human-provided insights rather than analyzing the interview content directly.
Metaview applies AI more extensively, using it to transcribe interviews and extract meaningful patterns from the conversation itself. The platform can identify discussion themes, analyze question-response dynamics, and assess conversation flow without requiring explicit input from interviewers.
Which is better? However, TBH's more focused AI application may be more accessible for organizations that want the benefits of intelligent analysis without completely changing their feedback processes. Metaview offers more sophisticated AI implementation for direct interview analysis, which can provide unique insights that might not emerge from traditional feedback methods.
Integration Capabilities
TBH does not currently integrate with ATS platforms. However, this is a feature that is currently being worked on.
Metaview similarly provides robust integration with leading ATS platforms, with a particular focus on connecting interview data with candidate profiles. The platform's API capabilities allow for custom integrations with other tools in your recruitment ecosystem.
User Experience and Adoption
TBH emphasizes ease of use for busy hiring managers and interviewers. The voice-enabled feedback option is particularly valuable for reducing friction in the feedback process, and the intuitive interface requires minimal training. These features typically lead to high adoption rates across organizations.
Metaview focuses on simplifying the interview process itself by eliminating the need for extensive note-taking. However, the recording component may initially create some anxiety for interviewers who aren't accustomed to having their conversations captured and analyzed.
Which is better? TBH generally offers a more straightforward user experience that requires minimal change to existing workflows, potentially leading to faster adoption. Metaview's approach, while powerful, represents a more significant shift in how interviews are conducted and may require more change management support during implementation.
Data Security and Compliance
TBH handles less sensitive data since it doesn't record interviews directly, focusing instead on structured feedback. However, the platform still maintains robust security measures to protect candidate evaluations and hiring recommendations.
Metaview must maintain extremely high security standards due to the sensitive nature of recorded interview conversations. The platform typically offers advanced encryption, secure access controls, and compliance features to address privacy regulations like GDPR and CCPA.
Which is better? Both platforms take security seriously, but Metaview necessarily implements more extensive protections due to the nature of the data it handles. Organizations with stringent security requirements or those operating in highly regulated industries should thoroughly evaluate both platforms' security certifications and compliance features.
Scalability
TBH is designed to scale effectively from small hiring teams to enterprise-level recruitment operations. The platform's flexible configuration options allow it to adapt to different organizational structures and hiring volumes.
Metaview similarly offers scalable solutions, with infrastructure designed to handle high volumes of interviews and data processing. The platform's AI components are engineered to maintain performance as usage increases.
Which is better? Both platforms demonstrate strong scalability, with the optimal choice depending on your organization's specific growth trajectory and recruitment patterns. Organizations with highly variable hiring volumes might want to evaluate each platform's pricing model to ensure cost-effectiveness during both peak and off-peak periods.
Cost Effectiveness
TBH typically offers a tiered pricing structure based on hiring volume or user seats, with options suitable for different organizational sizes. The platform's focus on streamlining the feedback process can generate ROI through faster time-to-hire and improved decision quality.
Metaview's pricing generally reflects the more complex technology involved in interview recording and AI analysis. While the upfront investment may be higher, the platform can deliver value through time savings for interviewers and more consistent evaluation processes.
Which is better? TBH often presents a more accessible entry point, particularly for smaller organizations or those with limited recruitment technology budgets. Metaview's more comprehensive approach may deliver greater long-term value for organizations with high hiring volumes or complex evaluation needs, despite the potentially higher initial investment.
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Making the Right Choice for Your Organization
When deciding between TBH and Metaview, consider these key factors to determine which solution best aligns with your organization's needs:
Choose TBH if:
- Your primary goal is to improve feedback collection rates and quality from interviewers
- Your hiring managers and interviewers prefer a low-friction feedback process
- You want to maintain traditional interview approaches while enhancing the feedback component
- Your organization values structured, consistent evaluation criteria across different roles
- Your budget favors a solution with flexible pricing options
- You're looking for a solution that can be implemented quickly with minimal disruption to existing workflows
Choose Metaview if:
1. Your organization prioritizes objective documentation of interview conversations
2. You want to reduce the burden of note-taking during interviews
3. You're particularly focused on reducing bias in the hiring process
4. Your recruitment team values data-driven insights derived directly from interview content
5. You have concerns about consistency across different interviewer
6. Your organization has the resources to support a more transformative change to interview processes
Consider a Hybrid Approach
Some organizations may benefit from implementing both solutions for different stages of their recruitment process or for different types of roles. For example, Metaview might be ideal for technical interviews where specific skills discussions should be documented verbatim, while TBH could be more appropriate for culture fit or leadership assessments where interviewer impressions play a greater role.
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Citations
- https://www.metaview.ai/integrations/hr-cloud
- https://heytbh.com/blog/top-10-ai-tools-every-recruiter-needs-in-2025