Measure User Satisfaction with Web Analytics | 4Q iPerception

Analysis and insights based on web analytics, are much more than just providing numbers. To get a broader view on web analytics, traditional practice of web analytics has grown beyond analyzing log file data and provide metrics (unique visitors, page views, referrals, etc.) to segmenting visitors, measure engagement, execute A/B or multivariate test, and optimize.

With so much more metrics, analysts are able to dig into the data and provide deeper insights and recommendations. Apart from behavior analysis, today’s interest goes beyond what visitors have done on the site, but answering the question of user satisfaction becomes even more prominent.

Traditional method to answer such question is to conduct a survey. Surveys are extremely valuable as users are willing to share their opinions about your site, service, products, etc.
Surveys could be highly intrusive, and you definitely don’t want to bother your site visitors with short attention span.

Reading Avinash’s blog, I’ve learned that he has collaborated with iPerception, and introduced 4Q which is a free survey solution that provides a simple scorecard on how happy your site visitors are. It is based on four key questions that are critical in surveying the satisfaction of your users.

1. How satisfied are my visitors?
2. What are my visitors at my website to do? In other words, what is the purpose of your visit to the site.
3. Are they completing what they set out to do?
4. If not, why not? If yes, what did they like best about the visit to the site?

What I like about this survey is that it is customizable. You can change the logo, selections of questions, adjust survey invitation rate, etc.

When visit session ends on the site and you get some kind of survey request, feel free to enter it (Yes!, on Zoommetrix.com!). It is coming up because I’m trying it out. If I get any insights, I’ll definitely revisit this post and notify my findings. (I’ll also give my feedback to Avinash as well)

Related Links:
How to Measure Customer Satisfaction with Web Analytics
4Q by Avinash Kaushik + iPerception