When enabled, Meeting coach with AI Companion provides Zoom meeting hosts with metrics on participant engagement, alongside personal meeting performance metrics. Hosts can view certain participant metrics such as talk time % for each individual participant, while meeting participants can view metrics on their own participation, and averages of each metric for total participants in a meeting such as:
Meeting hosts can view the following metrics for all participants:
Meeting hosts and participants can view the following metrics for their own participation and averages of each metric for total participants:
Meeting coach metrics will only be available for meetings that have AI Companion enabled.
To access Meeting coach from the Zoom Workplace app:
Meeting coach metrics are based on the total amount of time that AI Companion was enabled in the meeting. Meeting coach will not provide any metrics if AI Companion was not enabled in the meeting or if the host stopped AI Companion and deleted meeting assets during the meeting. Meeting coach metrics are not calculated in breakout rooms and for meetings that have end-to-end encryption (E2EE) enabled.
Metrics are provided for informational purposes and may contain inaccuracies. Results are not intended to be used for employment decisions or other comparable decisions.
This shows the percentage of time the user spoke during the meeting out of the total time at least one user was talking in the meeting. While the percentage naturally varies by role, topic complexity, or meeting purpose, how long someone talks can be an indicator for their involvement in the discussion. Research shows that teams with more evenly distributed speaking time demonstrate higher collective intelligence, better problem-solving, and more effective decision-making. Talk time % metric highlights imbalance so facilitators can encourage every voice to contribute, helping achieve higher-performing meetings.
This shows the total percentage of time the user’s camera was on during the meeting. Studies show that people who are visible to others retain focus significantly more during video meetings than those who are hard to see or not on camera. Being visible can correlate with more attentive and engaged meeting participation.
This shows the total percentage of time the user’s microphone was on during the meeting. Mic on metric helps teams gauge the level of active involvement, not just attendance. When attendees unmute, it can indicate they’re prepared to contribute, ask questions, or respond. Frequent unmuting usually accompanies discussion, problem-solving, or rapid back-and-forth exchanges.
This metric shows the total number of public chat messages sent by the user during a meeting (excluding private messages). Research shows chat can be a vital participation channel, especially for those less comfortable speaking up, and can include questions, clarifications, or resources that support collaboration and inclusivity.
This shows the total number of reactions sent by the user during the meeting. Reactions (likes, emojis) are a lightweight sign of engagement and often mirror social presence cues used in face-to-face interaction. These micro-interactions help signal agreement, comprehension, encouragement, and responsiveness in real time, all of which are important in supporting dynamic virtual communication.
This metric shows the percentage of time the user was speaking during a meeting and helps them understand how effectively they engaged others. While the ratio naturally varies by role, topic complexity, or meeting purpose, a higher ratio can signal that the speaker may not be leaving enough space for participants to ask questions or offer input - key elements of a productive, collaborative conversation.
This metric shows the user’s average words per minute, helping them gauge whether they’re speaking too quickly or too slowly. Staying within an optimal range helps keep the meeting clear and easier to follow. Talking speed naturally slows during technical explanations, and research shows that frequent pauses improve “listenability.” This makes steady pacing especially important when presenting to customers or prospects.
Meeting Coach reports patience in seconds. Patience measures the time between asking a question and the respondent’s answer. It reflects how much space the speaker gives others to think and respond, an important factor in keeping discussions productive and balanced. This metric helps users better manage the pace of their conversations.
Meeting Coach calculates the number of filler words used each minute. This metric shows the average number of filler words the user uses per minute. Words like “um,” “ah,” and “hmm” can signal uncertainty or lack of familiarity with the content. Research also shows that using too many filler words, or none at all, can impact perception of a speaker’s credibility.