Tag Archives: Analytics

Common Measurement Mistakes: Volume 1

Common Measurement Mistakes include not using an accurate, precise, and reliable methodology

We all need a methodology.  But simply having a methodology does not guarantee success. What is a methodology?  A methodology is often just a system of measurements accompanied by an acronym.  Nowhere is it said a methodology must to be accurate, precise or reliable.  There are “methodologies” on the market today with margin of error rates in the double digits, but the people using them still have confidence in those methodologies. A truly useful methodology is accurate, precise, and reliable.  Otherwise the methodology is garbage in, garbage out.  Inaccurate and imprecise methodologies lead to poor decisions – and to a … Read More

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The Customer Experience Hunger Games

The Customer Experience Hunger Games

A year and a half ago I never would have thought of comparing the blockbuster movie and book, The Hunger Games, to customer satisfaction analytics. Who would? Well, while recently re-watching the movie, a silly thought squirmed its way into my head: what if all digital channel owners were more like Career tributes than the heroine, Katniss? Okay, so humor me for just a moment if you would. For those of you who are not as familiar with the movie or books, Tributes are those unlucky souls chosen through a lottery to represent their geological districts in a fight-to-the-death competition … Read More

Posted by Krystel Harvey | Tagged , , | Leave a comment

All Picture, No Sound

ForeSee Blog All Picture No Sound

Playing the guessing game when it comes to customer experiences can often lead to wrong answers or misleading information. However, that doesn’t stop people from doing it. The company leaders I talk to do it every day because they continue to analyze customer experiences using behavioral data alone. Measuring behavior alone is like watching TV on MUTE -it’s all picture and no sound. You can see the action, you can see the actors moving around, lips moving and arms flailing (if the show’s really good) but you can’t understand what’s going on, what the characters’ motives are, what’s happening now … Read More

Posted by Kevin Muoio | Tagged , , | Leave a comment

The Role of Observational Data in the Web Analytics Ecosystem: Part Two

In my last post, I wrote about how I see observational data playing into the web analytics ecosystem. In today’s post, I want to share a few examples from our clients about how they’ve benefited from observational data. Here’s a pretty common scenario: a company gets constant complaints that users can’t find certain content on their site. Let’s say it’s belts on a retail website. The web team knows it’s there — they pull up the page and it’s staring them right in the face in the most logical place you can imagine. So why do people keep complaining they … Read More

Posted by Drew Hale | Tagged , , | 1 Comment

The Role of Observation in the Web Analytics Ecosystem: Part One

This is the first post in a three-part series. Subscribe to The ForeSee Blog to receive immediate notification of parts two and three. If you want to improve something, you have to observe how people use it first. This is true for improving products, experiences, and even websites.  In the world of web analytics, observation has historically taken a back seat to behavioral (clickstream) and attitudinal (survey) data, largely because of the high costs, slow process, and questionable representative results of solutions like focus groups which have traditionally been popular options. Not only are focus groups or usability labs fairly … Read More

Posted by Drew Hale | Tagged , , | 1 Comment