Sentiment is grouped into ‘Positive’ and ‘Negative’ categories and shown on a timeline of the session. (The room had great positive feedback during the discussion of Work From Home policies on slide 9)
Age Group Participation
Approximate ages are collected through Capture Experience and metrics are provided based on engagement of each age group. (There were more Gen-Z attendees in the room, but the millennials were more engaged with the content)
Genders are estimated through Capture Experience and metrics are provided based on engagement of each type. (In session ABC, the women in the room were much more engaged than the men)
7 different emotion types (Happiness, Surprise, Contempt, Apathy, Fear, Anger, Disgust) are observed over the timeline of the session and compared over the duration of the session. (The compliance meeting showed much more apathy than the Commission meeting)
Each session is graded on Positivity and compared against other sessions in it’s track. (Welcome to Capture had the highest positivity grade in the Onsite Technology event track)
Not all sessions are meant to elicity positivity. The energy grade is a measurement of all emotions vs. a lack of engagement and scored against the other sessions in it’s track. (The MADD session didn’t do well in positivity, but the energy was ranked first overall in it’s track)
Metric to define how often attendees were paying attention to the content discussed. (Our opening keynote had a major lack of engagement. We noticed an uptick in session registrations during this time as they were looking through the mobile app during this session)
In addition to the experience metrics, Capture collects the audio in the room in order to provide insights of content grades during the session. (The speaker made a political joke at 1:59, causing the split of emotion on the Experience Timeline)
Key moment analysis
Capture compiles all of the information analyzed during each session and provides the event organizer with key moments of interest capture in each session.
Capture analyzes the amount of unique individuals in the scanned environment, providing individual measurements of each attendee without resolving their information with registration data.
The amount of unique individuals is provided for reporting purposes, but the data only focuses on the collective metrics analyzed in the scanned location.
The engagement and reactions are collected for each individual attendee and resolved with the registration data to provide event organizer’s information on each attendee’s optimal journey.
Capture Experience Helps Optimize Event Content, Speakers, and Locations
An Open-Source Technology company used the ‘Anonymous’ model of Capture Experience to analyze 32 sessions over three days at their Annual User Conference. When reviewing…