Analysing SQLBits Feedback
- by jamiet
Earlier this week I received all the feedback that people offered on my session at SQLBits 7 in York – “SSIS Dataflow Performance Tuning” (the video is available online if you wish to see it). As you may have gathered from previous posts on this blog and my less-SQLy-focused Wordpress blog I am a big fan of collecting and tracking both personal and public data and session feedback lends itself very well to tracking because it is quantitative rather than qualitative; by that I mean attendees are invited to provide marks out of ten rather than (or, in the case of SQLBits, as well as) written comments. The SQLBits feedback is also useful because they use a consistent format – the same questions are asked each time – this means it is particularly easy to to track whether the scores that people give are trending up or down. I suspect that somewhere the SQLBits organisers have a big Analysis Services cube (ok, perhaps its an Excel pivot table) that allows them to analyse these scores per conference, speaker, track etc.… and there’s no reason that we as session speakers cannot do the same thing. To that end I have started to store my feedback in an Excel spreadsheet of my own which in the interests of transparency is available for public viewing (only a web browser required) on SkyDrive at http://cid-550f681dad532637.office.live.com/view.aspx/Public/Misc/Personal%20SQLBits%20Session%20Feedback.xlsx. I have used a pivot table to aggregate all that feedback and here is a screenshot: I am hereby making a public plea to the SQLBits organisers (on the off-chance that they are reading) to please continue to keep the feedback format consistent in the future and I encourage them to publish all of the feedback in an anonymised form. I would also encourage anyone doing conference speaking to track their conference feedback in the same way that I am doing so that you get an insight into whether or not you are improving over time. It is not difficult to setup and maintaining it as you do more sessions takes very little effort. Storing feedback data like this leads me to wider thoughts about well-known conventions and data format standardisation. Let’s imagine a utopia where there were a standard set of questions for capturing session feedback that were leveraged at every conference regardless of subject matter, location or culture; that would give rise to immense cross-conference and cross-discipline analysis – the data analyst in me goes giddy at the thought of it. It is scenarios like this that drive my interest both in data formats such as iCalendar, microformats and RDF, and in emerging movements such as the semantic web and linked data, all things which I have written about in the past. I don’t know whether we will ever reach the stage where every piece of data has structured, descriptive metadata associated with it but I live in hope. @Jamiet
