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	<title>Comments on: Web metrics, success, failure &amp; insights</title>
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	<description>Improving software design through User Experience</description>
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		<title>By: Roz</title>
		<link>http://www.creative-resonance.com/articles/architecting-the-user-experience/web-metrics/comment-page-1/#comment-37</link>
		<dc:creator>Roz</dc:creator>
		<pubDate>Tue, 17 Feb 2009 17:09:59 +0000</pubDate>
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		<description>Interesting article, and I totally agree web metrics form a vital part to measuring the success of a project but also with optimising it.  I would just say that analysis should not only be around how someone interacts or access a site (e.g. via search etc) but how they behave once they are there i.e. user engagement and depth of interaction/visit are also key factors to consider. As well as whether not an interaction results in an action (this will depend on your objectives but could be a conversion/sale or visiting a brand section etc).

Segmenting your date by audience (either by a known segmentation e.g. logged in users or unknown e.g. Product browsers) will also offer greater levels of understanding and can help to lead to better/deeper analysis of your results.

Also it is sometimes worth layering on any attitudinal insights you have to help make sense of the behavioural information.  If the two can be directly connect so much the better!</description>
		<content:encoded><![CDATA[<p>Interesting article, and I totally agree web metrics form a vital part to measuring the success of a project but also with optimising it.  I would just say that analysis should not only be around how someone interacts or access a site (e.g. via search etc) but how they behave once they are there i.e. user engagement and depth of interaction/visit are also key factors to consider. As well as whether not an interaction results in an action (this will depend on your objectives but could be a conversion/sale or visiting a brand section etc).</p>
<p>Segmenting your date by audience (either by a known segmentation e.g. logged in users or unknown e.g. Product browsers) will also offer greater levels of understanding and can help to lead to better/deeper analysis of your results.</p>
<p>Also it is sometimes worth layering on any attitudinal insights you have to help make sense of the behavioural information.  If the two can be directly connect so much the better!</p>
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