Do you want to improve feedback in your selection processes? Metaview and GoodTime are tools designed to automate and optimize this key aspect. Here’s a quick summary of what they offer:

• Metaview: Automatically documents interviews with AI, transcribes in multiple languages, and integrates with ATS systems like Greenhouse and Lever. Additionally, it allows the creation of customizable scorecards to evaluate candidates in a structured manner.

• GoodTime: Centralizes candidate data, sends automatic surveys to gather feedback, and provides detailed metrics on the hiring process's performance.

Quick Comparison

Both tools are useful, but your choice will depend on whether you prioritize automated documentation (Metaview) or gathering feedback and metrics (GoodTime). If you're looking for a more comprehensive and multilingual solution, Jamy.ai could be an interesting alternative.

Key Features of Metaview

AI Interview Documentation

Metaview stands out for its ability to transcribe interviews in real-time thanks to advanced natural language processing (NLP) algorithms. It uses Whisper AI and is trained in specific recruitment terminology, achieving 95% accuracy in English and 92% in Spanish. Moreover, it automatically identifies skills, experience, and potential concerns, maintaining the complete context. This allows for quick searches without the need to review the entire recording.

Integration with ATS Systems and Other Tools

Metaview connects effectively with applicant tracking systems (ATS), offering compatibility with various platforms. Here’s a summary of the main integrations:

Additionally, Metaview connects with other tools through Zapier, allowing integrations with:

• CRM systems like Pipedrive

• Technical assessment platforms like Codility

• Google Workspace to manage calendars

These integrations allow for even more customization of evaluations, as explained in the next section.

Scorecard Configuration

Thanks to its integration and efficient documentation, Metaview allows for creating customizable scorecards to evaluate candidates based on the role. These templates include specific and weighted criteria, such as:

• Technical evaluations with the possibility of capturing code

• Behavioral interviews based on the STAR methodology

• Dedicated fields to discuss aspects like compensation

• Visual matrices for easy candidate comparisons

Moreover, the Live Consensus feature allows interviewers to see in real-time the evaluations from the rest of the panel, reducing deliberation time by 65% in hiring teams, such as one in Barcelona.

Automation has also reduced the time needed to document interviews by 50%, according to internal studies. This translates to recruiters being able to conduct three to four additional interviews per week.

Key Features of GoodTime

Candidate Data Management

GoodTime consolidates all candidate information in a single portal, where timelines, profiles, and resources can be consulted. Additionally, it synchronizes this information with ATS systems like Greenhouse and SmartRecruiters, ensuring up-to-date records and reducing the need for manual data entry.

The numbers back up its effectiveness:

This organization facilitates the collection of precise and useful opinions.

Tools to Gather Feedback

GoodTime employs customizable surveys that ensure anonymity to evaluate candidates based on the position. These surveys are sent automatically after interviews, which has increased the response rate by 40%. For example, Lyft achieved a 78% improvement in the speed of obtaining feedback using mobile forms. Additionally, integrated micro-surveys allow for quicker and more detailed evaluations during the process.

Performance Metrics

GoodTime offers a detailed analysis of the hiring process. Its dashboard includes over 14 key metrics, such as a reduction of average scheduling time by 3.2 days, as well as data on absences and candidate satisfaction. Thanks to its AI engine, it identifies problems in the workflow and proposes concrete solutions.

Companies like HubSpot and Spotify have significantly improved the efficiency of their processes. A notable case is that of Lyft, which managed 2,300 seasonal hires with 92% accuracy in interviewer availability.

Direct Comparison of Tools

Features for Automating Feedback

Both platforms include options to automate feedback during the selection process. One generates automatic records during interviews, while the other organizes and collects personalized evaluations. This allows each company to choose the solution that best fits its workflow.

Integrations with Other Systems

Both tools can connect with ATS systems and other platforms, facilitating data management and streamlining the recruitment process. It is also important to consider how each tool adapts to handling multiple languages, especially in global environments.

Language Handling

Multilingual support is key for companies operating internationally. Accuracy in transcription and feedback analysis can vary between tools, which directly influences the assessment of candidates who speak different languages.

These operational differences impact the efficiency of the hiring process. The final decision will depend on the specific needs for automation, integration, and language support that each company has.

Features and Characteristics of Jamy.ai

Jamy.ai combines customization, support for multiple languages, and direct integration with ATS systems, improving the selection process by merging automation with tools designed to optimize each stage.

Template Customization

With adjustable templates, Jamy.ai makes it easy to create automated workflows and generate detailed reports tailored to each interview or selection process. This allows recruitment teams to define specific criteria based on the position and the evaluation phase.

Support for Multiple Languages

Jamy.ai automatically identifies the language of each interview and provides transcriptions and reports in over 50 languages. This is very useful for international teams, as it ensures an accurate evaluation regardless of the candidate's language.

Integration with ATS Systems

Thanks to custom webhooks, Jamy.ai easily connects with the most popular applicant tracking systems. This automates documentation and evaluation, allowing recruiters to spend more time on strategic tasks within the selection process.

Decision Making

Comparative Summary

When analyzing the options, it's important to review aspects such as interview documentation, integration with ATS systems, and the level of customization. While Metaview automates documentation and GoodTime centralizes data and feedback, the final choice will depend on the specific needs of each team. However, some platforms have limitations regarding customization and support for multiple languages, which can complicate their use in certain contexts.

Advantages of Jamy.ai

Against these differences, Jamy.ai stands out as a comprehensive solution to address these challenges. Thanks to its custom webhooks, it allows for the automation of workflows and integration with key productivity tools like meetings, scheduling, email, and management.

Some of its most notable features include:

• Automatic transcriptions and summaries, with identification of main topics.

• Integration with multiple tools, facilitating process management.

• Customizable templates to adapt to different types of interviews.

Additionally, its ability to work with more than 50 languages, alongside automatic language detection, makes it especially useful for teams operating internationally. This makes it a versatile tool for improving efficiency in any organization.

FAQs

How can a company decide between prioritizing interview documentation automation or feedback and metrics gathering in its selection process?

The decision largely depends on the specific priorities and goals of the company. If the main focus is on improving efficiency and reducing administrative burden, documentation automation may be key. This allows generating detailed reports with timestamps and relevant quotes, ensuring essential information is always available, even if someone missed the meeting.

On the other hand, if the goal is to optimize the quality of hires through deeper analysis, prioritizing feedback and metrics gathering may be more strategic. This helps identify patterns and make data-driven decisions to continuously improve the selection process.

In any case, advanced tools like Jamy.ai can offer comprehensive solutions that combine both priorities, adapting to the specific needs of each recruitment team.

What advantages does Metaview's integration with ATS systems like Greenhouse and Lever offer?

The integration of Metaview with ATS systems like Greenhouse and Lever provides several key advantages for optimizing the selection process. These tools allow for smooth data synchronization, facilitating candidate management and the automatic generation of interview reports.

Moreover, Metaview stands out for its ability to transcribe interviews with high accuracy, saving recruiters time and improving feedback quality. By integrating directly with platforms like Greenhouse and Lever, tasks such as scorecard assignment and candidate progress tracking are streamlined, optimizing the entire recruitment workflow.

How does Metaview's multilingual support improve efficiency in international hiring processes?

Metaview's multilingual support can be a key tool for international companies, as it allows for transcribing and analyzing interviews in multiple languages with high accuracy. This facilitates communication between global teams and ensures that selection processes are inclusive and efficient, regardless of the candidate's language.

Additionally, this functionality helps generate reports and scorecards in different languages, optimizing workflow and enabling quicker and better-informed decisions. For companies operating in diverse markets, this capability can make a significant difference in terms of productivity and candidate experience.

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