Getting\Calculating Mean Opinion Score (MOS) for calls from qos API endpoint metrics

API and Webhooks
1

Description
How can I get the Mean Opinion Score (MOS) from the metrics that we get from the qos API endpoint. Is there an available tool\formula\methodology I can use to get this? Is there any plan to eventually have the MOS Scores available through API or other means?

Which App Type (OAuth / Chatbot / JWT / Webhook)?
JWT

Which Endpoint/s?
https://api.zoom.us/v2/metrics/meetings/{meetingId}/participants/{participantId}/qos

Additional context
We would like to be able to track the quality of calls made by users with the intention of identifying potential issues and taking steps to address them.

2

Hey @simba_m,

Let me know if this thread answers your question:

Thanks,
Tommy

3

Thanks Tommy for your response, unfortunately the thread does not answer the question that I have.

Thing is, we have other virtual conferencing tools we use in the organization and we have seen ZOOM to perform better than the others. The other tools provide average MOS scores for calls made by users. I would like to get the ZOOM MOS scores so that we can make a comparison with the other tools. Hope this clarifies.

Looking forward to getting help on this.

4

Hey @simba_m,

The quality of service APIs we have available are listed here:

Thanks,
Tommy

5

To calculate the Mean Opinion Score (MOS) from Zoom’s QoS API, you’ll need to consider factors like packet loss, latency, and jitter. Unfortunately, the API doesn’t provide MOS directly, but you can estimate it using this formula:

MOS = 1 + 0.035 * (PacketLoss %)^2 + 10 * sqrt(Latency * Jitter)

Where:

  • PacketLoss: The percentage of lost packets during the call.
  • Latency: Time delay in milliseconds.
  • Jitter: Variation in packet arrival time.

You can calculate these values using the data from the API, and it should give you a reasonable approximation of MOS. While Zoom doesn’t provide MOS scores right now, this is a good workaround until they potentially add it to their API in the future.

On a side note, if you’re interested in tools like Calcolatore stipendio netto, it’s worth exploring ways to integrate similar metrics for user experience analysis across various services.

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