Hey, folks!
I wanted to touch base about the new Tech Feedback
tool, which you may have noticed appeared on the Dashboard recently. Aaron has been ironing out a few glitches, and it looks like the queue is empty right now (thanks to those of you who’ve jumped in already!), but the tool is fair game for use, if anyone wants to test it out once more feedback rolls in.
As a bit of background, many of you know that keeping technology articles up to date has been a bit of a pain point for wikiHow over the years, what with the constant software updates rolling out for Macs, iPhones, Androids, Windows computers, and all of their respective apps. Having worked on managing our tech content for a period last year, I can testify as to how hard it can be to tell when a tech article needs a total revamp. When we did decide to revamp tech topics, it was often thanks to feedback we received from our readers.
In an effort to improve our editing/updating flow in the tech realm, our developers have made a few changes specifically to tech topics: Instead of being asked “Did this article help you?” readers now see the question, “Is this article up to date?” We tested and then made this switch because we’ve found that there’s often some noise in helpfulness data on tech articles that we can’t control for (a lot of the time, for example, readers will come to an article wanting to do something that’s straight up impossible on their device, and there isn’t much we can do about that). Something we can actually control, however, is whether or not our articles are up to date - we’re hoping that by changing the question we’ll get better feedback on that point from readers.
The new tool comes into play once we gather that feedback: it’ll help us sort through the responses to find the most helpful feedback (and weed out the junk). The aim is to use the good/relevant feedback to prioritize our tech editing/updating and stay ahead of the curve! We hope that this’ll help us get a little bit closer to the goal of having a huge library of tech articles that are consistently reliable for and helpful to our readers.
The tool should function in a pretty straightforward way for the most part: you’ll be presented with a piece of feedback that a reader has left us on an article, and then you’ll be able to vote on whether the feedback is coherent, relevant and specific enough to be used to improve the article. Hopefully, the information we’ll get from this tool will help us know exactly what kind of treatment an article that’s gone slightly (or terribly) out of date needs to be made as helpful as it can be again.
As the tool is still in its beta phase, we’d love to hear what it’s like for you as you play around with it! Always helpful to know what’s working for you and what isn’t.
I hope you guys decide to give it a try as more feedback fills the queue - Again, any thoughts and/or questions on these developments are welcomed!