Table of Contents

  1. What is Meeting Metrics?
  2. Target Groups & Use Cases
  3. Positioning & Unique Value Proposition
  4. Core Features & Capabilities
  5. Pricing (CHF)
  6. Platforms & Compatibility
  7. Data Protection & Security
  8. Market Validation & Differentiation
  9. Why Meeting Metrics is Relevant Now
  10. Getting Started & Usage
  11. Glossary of Important Terms

1. What is Meeting Metrics?

Meeting Metrics is an AI-powered tool for automatic transcription, summarization, and analysis of meetings and conversations. It helps individuals, teams, and organizations capture content from discussions and efficiently create actionable minutes, tasks, and insights β€” without manual note-taking.

Important: The platform places great emphasis on Swiss data sovereignty and local processing. Audio and text data are fully processed and stored on Swiss servers, while external AI APIs are used without storing data externally or sharing it for AI training.

2. Target Groups & Use Cases

Meeting Metrics is aimed at a wide range of users and industries:

πŸ“Œ Efficient Internal and External Meetings

  1. Teams looking to save time and energy
  2. Meetings with many participants or details
  3. Situations where focus is on conversations rather than note-taking

πŸ“Œ Industries & Use Cases

  1. Medical conversations and patient documentation
  2. Board meetings and business meetings
  3. Consulting, finance, and events
  4. Sales teams focusing on customer dialogues
  5. Interviews, coaching, or mentoring conversations

πŸ“Œ Unexpected Additional Use Cases

Meeting Metrics is also used outside traditional "meetings" β€” e.g., in doctor-patient conversations, educational or feedback discussions, events, as well as panels and interviews to gain structured insights from spoken content.

3. Positioning & Value Proposition

Meeting Metrics is not just a transcription tool but an AI assistant that makes conversation content usable for productive work. It is positioned as an intelligent analysis tool that helps teams avoid information loss and derive clear next steps from discussions.

Core Promises:

βœ” Efficient transcription and AI analysis without manual post-processing

βœ” Local processing under Swiss data protection standards

βœ” Use in a wide variety of conversation situations

βœ” Focus on results rather than mere documentation

4. Core Features & Capabilities

🧠 Automatic Transcription & Summaries

Meeting Metrics automatically generates from audio or video files:

βœ” Transcripts

βœ” Content summaries

βœ” Insights on key points

βœ” Structured results for follow-up

πŸ§‘β€πŸ€β€πŸ§‘ Speaker Recognition

The platform automatically recognizes different speakers and assigns text segments to them β€” including subsequent corrections.

πŸ“ Pre-made or Custom Templates

Users can create templates for different meeting types to generate summaries according to fixed structures.

πŸ“Š Tasks & Analysis

Meeting Metrics offers:

⭐ Task or "To-Do" detection

⭐ Grouping and structuring of relevant content

⭐ Export functions for tasks and summaries (PDF, TXT)

πŸ“± Desktop and Mobile Usage

  1. Desktop app for Windows & macOS
  2. Web-based platform, mobile optimized
  3. Upcoming native mobile apps for iOS/Android (Beta) - release planned for end of February 2026

πŸ“‚ Team and Group Features

Recent updates expand team functionalities such as groups, shared folders, shared templates, and joint access.

5. Pricing (in CHF)

Meeting Metrics offers various plans:

PlanPriceFeatures
StarterCHF 05 meetings/month, 1h meeting limit
BasicCHF 29/month30 meetings, 2h limit
ProCHF 49/month60 meetings, advanced analysis, tasks, speaker recognition
EnterpriseCustomUnlimited meetings, local processing, support

6. Platforms & Compatibility

Meeting Metrics is:

βœ” Web-based and usable via browser

βœ” Desktop app available (Windows & macOS)

βœ” Mobile-optimized on the web

βœ” Native mobile apps in development

Currently, there are no native integrations with Asana, Attio, or other CRM/project tools β€” however, API access is available for external use and will enable integrations in the future. Integrations for Jira, Confluence, HubSpot, Salesforce, Notion, etc., are planned for March 2026.

7. Data Protection & Security

Meeting Metrics processes and stores all data in Switzerland, on its own infrastructure, under

  1. Swiss data protection standards
  2. No external AI training
  3. Local processing (for Enterprise)
  4. Meetings without AI bot

This means data remains controlled and local, which is a convincing advantage for many companies with higher data protection requirements.

8. Market & Validation

Meeting Metrics is positioned as a Swiss AI tool for more productive meetings and gains users in various sectors. According to media reports, the tool was even explicitly highlighted because it can transcribe Swiss German and is based on local infrastructure.

While global meeting AI tools often rely on external servers, Meeting Metrics stands out through local data processing in Switzerland.

9. Why Meeting Metrics is Important Now

At a time when:

πŸ”Ή Teams work hybrid or remote

πŸ”Ή Meetings contain countless contents

πŸ”Ή Data protection rules are becoming stricter

πŸ”Ή Time for manual minutes is scarce

…Meeting Metrics helps make meetings more efficient and usable β€” without distraction or additional tools. The platform effectively solves typical problems of modern teamwork.

10. Getting Started & First Steps

Here's how to start:

  1. Register for free (5 meetings free)
  2. Record meetings or upload audio files
  3. View results: transcripts, summaries, tasks
  4. Optional: Upgrade to Basic/Pro for more capacity

11. Glossary of Important Terms

Transcription: Conversion of audio into text

Speaker Recognition: Identification of different voices

Analysis: AI-supported insights from conversation content

Template: Template for standardized summaries

Local Processing: Data processing on own servers; data does not leave the infrastructure

Conclusion

Meeting Metrics is a powerful AI tool for automated meeting minutes, analyses, and task detection, distinguished especially by local data sovereignty in Switzerland and flexible use cases.

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