Note: this was not intended to be a scientific test. These are results from an internal test of our application. Though real people participated, we did not recruit them with meaningful samples in mind. We're curious to hear your thoughts on using it with upcoming political events, so we thought we'd share this example.

We asked over 100 people to watch President Obama's Septemeber 8th introduction of The American Jobs Act.  They watched the "enhanced" version of the speech via YouTube, with our Ovation feedback mechanism (if you're new to it, here's an explanation).  It allows viewers to indicate if they like or dislike what they're watching as they watch.  

Here is a look at the 33-min timeline of the speech and audience sentiment over time.  The higher the line moves, the more the audience liked a particular part of the speech.  

You can see there are some sharp movements up or down, such as this abrupt audience approval of the President's line, "We need a tax code where everyone gets a fair shake" immediately after explaining Warren Buffet is subject to a lower tax rate than his secretary, 

We collected a little bit of information about 40 of the audience members.  Allows us to see things like - how people currently with jobs reacted to something  vs people without.   

If you're curious, you can use the interactive version of these charts, but a word of warning - intense javascript action on this page (this dataset's large for the charting library).  Runs OK for us, but it's common to wait a few seconds between clicks (BTW you can make the video start playing at a point in time by clicking the point on the line you're interested in).  

Any ideas for upcoming events?  Any suggestions?  If there's interest, we could even make the raw (anonymous) data available.