- What is the Read Score?
- What is Sentiment and how is it measured?
- What is Engagement and how is it measured?
- Scoring benchmarks
- Overall vs Participant scores
What is the Read Score?
The Read Score (previously called the Meeting Score) provides an overall metric on how well your meeting is going by combining Read’s analysis of Sentiment and Engagement. By analyzing facial and verbal elements of all meeting attendees, Read assesses how people are reacting (positively, neutrally or negatively) as well as their level of involvement and interest in real time. This provides all meeting attendees with a scientific measure of the meeting’s effectiveness so you can drive to a better meeting experience together.
What is Sentiment and how is it measured?
Sentiment measures how positively or negatively attendees are feeling throughout a meeting. Read analyzes both facial and verbal cues from attendees to determine whether they are expressing positive, neutral or negative reactions to the meeting in real time. For example, if you are presenting a slide to a large group and can’t see the facial expressions of all meeting attendees, Read can detect that people are smiling and nodding their heads. Sentiment levels will begin to increase, indicating to you that your audience is reacting positively to your content.
Read uses well-established methodologies and proprietary models to analyze facial and verbal elements, such as facial expressions, head movements and body language, as well as the pitch, volume and intonation of attendees’ speech. Read also analyzes the overall content of the speech (for example, if people are using positive or negative words and phrases) with natural language processing (NLP), a type of machine learning that allows computers to understand the meaning behind human language.
What is Engagement and how is it measured?
Engagement is a measure of attendees’ level of involvement and interest in a meeting. We measure engagement through a combination of facial and verbal cues, as well as the talk time of attendees throughout the meeting, to assess whether engagement levels are high, medium or low in real time. For example, if you are in a team meeting and people start to get distracted, Read will notice that they are looking away and leaning back from the screen. Engagement levels will begin to decrease, indicating to all meeting participants to refocus on the meeting.
Read uses well-established methodologies and proprietary models to analyze facial and verbal elements, such as facial expressions, head movements and body language, as well as the pitch, volume and intonation of participants’ speech. The proportional talk time is also considered.
Scoring benchmarks
The various scores are graded on a scale of Good, Okay, and Poor:
- Good: greater than 80
- Okay: 70-80
- Poor: less than 70
You can also see the average score for all Read users as another point of comparison.
Overall vs Participant scores
So far, this article has focused on the overall Sentiment, Engagement, and Read Scores, which are based on an average of measurements from all meeting participants. You can also view your own personal scores for various metrics on the Deep Dive tab of a report, under Standings:
The Participant Score is just the individual version of the Read score. Below it you can see your own personal Engagement and Sentiment score. All scores also show the overall meeting scores ("All Participants") and the Read user average across all meetings on the same chart for comparison.
In most cases, the Participant Score will be within the range of either the Sentiment or Engagement number. However, there are exceptions when Engagement is high (e.g. 80+), where it will amplify the Sentiment score, resulting in a higher Participant Score. Two examples:
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- Within Range Example: If you heard another team at your company was going to get a bonus, you might have high sentiment (82) as its great news for the company, but since you aren’t directly on that team, you aren’t as focused and have engagement of (75). Your Participant Score would be in the range of 75 to 82.
- Outside of Range Example: If your team was getting the bonus, you might have a higher sentiment (88) and higher engagement (89), the higher engagement amplifies the Participant Score and you end up at 92.