Deliver Precise, Contextual Feedback in Seconds

Matthew Short:

Now the really fun part, I’m going to click into the comment log, which you guys are all probably familiar with if you’ve used GoReact. And what you’re going to notice is that there’s a participant in this process named GoReact AI Assistant.

So that transcript that is captured on every one of these video, that transcript is reviewed by our ai. The transcript is actually what our AI is processing to identify the particular behaviors that we’ve programmed into our system that you can choose to enable on specific activities and allowing our system then to provide praise to the student in areas where they’re doing well. It can also provide in terms of where they can improve for next time. And as you can see here, not only is it saying, Hey, you could have done this a little bit better, it’s then providing them suggestions on here’s how this could have been better. It is not just saying you did great, you did bad. There’s context, there’s information, there’s examples of how you can potentially improve your performance or in those instances of praise, it is noting what you did specifically that is worthy of praise in those particular instances.

I also want to highlight just like any other comment, you can click on these and it will jump to about five seconds in the timeline. Prior to that, just like any other comment in the system, there is the ability to reply to this and I will come back to that when we show some of the examples of some of our actual users in the field using advance. Not that you should be actually engaging in a conversation with an AI that won’t respond back, but we will circle back to that. You can also edit or delete these comments. I emphasize this because as you probably experience with other AI tools and other AI features, AI is not always going to be perfect. There’s going to be room for improvement. However, maybe there are parts of this that are beneficial, you could edit it or add additional context or information so that the feedback as a whole is worthy of being left and considered by the student.

For growth purposes, if you find there’s absolutely nothing redeemable about the specific comment, we’re going to ask two things. You can give it a thumbs down, we want you to engage with this feedback. Students and teachers, we want feedback. Is this good? The little thumbs up icon is this no good? Give us a thumbs down on that particular comment so that our product team can review that to make sure that our feedback is continuously growing, improving, getting better for you all. And then once you’ve given it feedback, just hit delete. You can exit off of the student’s commentary log, they won’t see it and you should be good to go. But we want this AI to be impactful and helpful. So you guys, your students engaging with this lets us know what’s good, what could be improved. And for those that you feel like shouldn’t be left on there, you can always delete them.