Website Feedback: When Analytics Aren’t Enough
Let me start out by saying that quantitative feedback about your website visitors is critical. Here at Demoing, we use Google Analytics, and its wonderful. Through their platform you garner info about who is visiting your site, what pages they're traveling to, how long between visits, what browser, what operating system they're running, and numerous other items.
The information garnered from the analytics is very valuable...it just doesn't tell you the whole story. I'm currently reading Rocket Surgery Made Easy: The Do-It-Yourself Guide to Finding and Fixing Usability Problems and it provides a lot of insight into the value of qualitative analysis.
I want to step you through a few instances where quantitative feedback integration on your website with platforms such as Google Analytics falls short and how integrating a robust qualitative feedback platform can address those needs.
- You're a Brand New Website and Don't Have a Critical Mass to Garner Meaningful Data.
You need insightful feedback from individuals who can tell you meaningful information. As you build you need to hear whats wrong with your color scheme, that your service explanation is confusing, that user's didn't expect to see your personal biography when they clicked 'about us', and so on. With a solid qualitative feedback integration plan you can garner that feedback at early stages and make sure what you're building makes sense.
- You're in Private Beta.
Implementing a feedback loop in your private beta testing is crucial. In this process you need to make sure you bring in as many appropriate individuals as possible. During this process you need to make sure that you are testing key elements around your value prop and that you are appropriately valuing the feedback and acting on the correct items. A valuable approach is to start an ongoing conversation with testers as you iterate on items of concern.
- You're Making a New Version of Your Site.
Amazon takes an approach of sending a fraction of a percent of traffic to new versions of pages, and seeing how that goes over. That's great, but they're still missing out on commentary from those users on their experience. Having the development team see aggregated feedback on the pages is incredibly valuable. Now not only does your development team learn that only 10% of users clicked on part of the page, but the qualitative feedback from x users who were enthralled by the video playing at the top of the page gives valuable insight into how to augment design/function. This is where quantitative feedback stops and actionable qualitative feedback comes into play.
In conclusion, we feel that not only do websites need to have an 'always on' quantitative solution, but can benefit from an additional qualitative solution to make sure they are staying deeply in touch with their users.
What situations have you encountered that would have been solved better with Qualitative v. Quantitative data?
Drop you comments below!
