Details of onslyde
At its core, the concept is simple. Attendees connect to a WebSocket server, the presenter sends them vote options at certain points during her presentation and whoever decides to connect can have anonymous interactions with the presenter. Participants may also give a “thumb up” or “thumb down” during any slide to show that they approve or disapprove of the content on a given slide. This allows for a very fine grained level of anonymous interaction.
Beyond the simplistic parts of interacting with the slide deck, I wanted the presenter to actually have the ability of tailoring their talk to the “collective wisdom” of the audience. So, the presenter has the ability of forking their slides and providing 2 tracks of content based on the audience vote. The poll and tracks are setup declaratively as follows:
After the fork occurs, the presenter can choose to present slides in linear fashion, or ask another poll question. The framework is limited by only allowing for 2 options to be given and slides can only be forked once per question.
Mid last year, I started capturing audience data into a database. I also added Google analytics (with custom events) to the remotes so I could get a good understaning on audience devices and usage. The following data is from the video above.
Here, we’re capturing votes on the options and how many times the “Nice” and “WTF” buttons were pressed during this track. One thing that Google Analytics does not give us are timestamps, or when events occured at a fine grained level. By capturing the time when each “Nice” or “WTF” button is pressed, I can see exactly which slide was being shown and when the button was pressed. There is a bit of a latency issue from the time the button is pressed until the time it actually shows up on the presenters screen, so capturing the TS at the server level gives a more accurate picture of how you performed on each slide, if the content made sense, etc.
From GA and Custom Events
This is an overview of the device analytics. I didn’t want to reinvent the wheel on User Agent detection and keeping track of sessions, so I leveraged GA. The following data is from my talk, in the video above, given on February 18th.
Become a better speaker I know that I’m not a “great” public speaker. Sure I can hold my own, but I still have a lot to learn. And every person who gives a presentation is different. We all have different personalities, views, and ways of moving about the stage - we all have an idea of what we think the audience wants to know. But allowing the audience to guide the speaker and to anonymously give their input is huge. You won’t get that kind of feedback verbally or by asking the audience to raise their hand for a given question. Nor will you get this type of fine grained feedback in a survey form at the end of your talk. You might not be able to tell it, but in the video above, every time I ask the audience to vote on something and I look up at the responses coming in, it gives me a huge boost of confidence. Not just because the tool is actually being used, but I feel like I’m about to go down a road that is actually useful to them. At that point I adjust and tailor everything I say from the results that came in.
Make the conversation go both ways When an individual feels that they can control the presentation’s future, it’s a powerful thing. It’s one thing just to poll the audience and get feedback, but to have a number of slides prepared for the results of that poll is another thing. Also, with the capabilities of mobile browsers today, we can make the presentation experience much richer. With this tool, I can send each person the notes and other information which relates to the slide I’m currently on. I can also send the ones who voted but didn’t win the track selection, the slides or notes that I didn’t show. So many possibilities to this…
Fortunately, I’ve had the chance to test this code/concept out in many different talks over the past year. From 10 people in a room to 100’s, the feeling of having everyone dialed into what you’re saying is invaluable.
Crowdsourcing and forming some kind of collective wisdom Using this tool at a conference allows for a limited number of attendees to participate, but taken to a larger scale (webinar), the combined thoughts of the audience on a given topic can be surprising. Not just to the presenter for tailoring his next steps, but to the data collected behind the scenes. Because my interests lie in the mobile web and HTML5, I get really interesting stats for devices and browsers with each talk I give. But, if I were a presenter introducing a new product (outside of the tech realm) and trying to sell it to the audience, I would have a huge advantage by allowing for impulse buys and fine grained sales throughout my talk. Basically, content would be spoon fed and the chance of missed opportunities would be slim.
This presentation tool is open source. If you’d like to signup for the beta and give it a spin, I would greatly appreciate your feedback. This blog post is serving as the documentation for the project until I get some time to improve.
If you run into bugs, report them here please.