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	Comments on: The Power of Prevention In Customer Service	</title>
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	<link>https://www.groovehq.com/blog/customer-service-prevention</link>
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		<title>
		By: Pal Kerekfy		</title>
		<link>https://www.groovehq.com/blog/customer-service-prevention#comment-5389</link>

		<dc:creator><![CDATA[Pal Kerekfy]]></dc:creator>
		<pubDate>Thu, 07 May 2015 11:54:07 +0000</pubDate>
		<guid isPermaLink="false">http://www.groovehq.com/blog/?p=2918#comment-5389</guid>

					<description><![CDATA[Great one! Thanks! 
The first one (repetitive) resonates very much with the principles of IT Service Management and ITIL. These principles - although come from IT - are very much applicable to other services and processes. ]]></description>
			<content:encoded><![CDATA[<p>Great one! Thanks!<br />
The first one (repetitive) resonates very much with the principles of IT Service Management and ITIL. These principles &#8211; although come from IT &#8211; are very much applicable to other services and processes. </p>
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		<title>
		By: Jake Wobbrock		</title>
		<link>https://www.groovehq.com/blog/customer-service-prevention#comment-5395</link>

		<dc:creator><![CDATA[Jake Wobbrock]]></dc:creator>
		<pubDate>Tue, 05 May 2015 21:38:56 +0000</pubDate>
		<guid isPermaLink="false">http://www.groovehq.com/blog/?p=2918#comment-5395</guid>

					<description><![CDATA[Great post, Len. I absolutely agree. Helping customers resolve issues (or better, empowering them to resolve their own, like we do at AnswerDash!) still amounts to a corrective step that remedies a problem that ideally shouldn&#039;t ever have happened in the first place. Preventing those problems requires that customer support have a seat at the design / product table, where changes can be discussed. Support teams need to be empowered with data and insights to do this. Otherwise, they&#039;re often treated as secondary citizens by designers and product folks. When armed with data about problems customers are facing, the only question becomes how much companies care about their customers -- enough to fix the problem and prevent its occurrence forevermore? Let&#039;s hope so!]]></description>
			<content:encoded><![CDATA[<p>Great post, Len. I absolutely agree. Helping customers resolve issues (or better, empowering them to resolve their own, like we do at AnswerDash!) still amounts to a corrective step that remedies a problem that ideally shouldn&#8217;t ever have happened in the first place. Preventing those problems requires that customer support have a seat at the design / product table, where changes can be discussed. Support teams need to be empowered with data and insights to do this. Otherwise, they&#8217;re often treated as secondary citizens by designers and product folks. When armed with data about problems customers are facing, the only question becomes how much companies care about their customers &#8212; enough to fix the problem and prevent its occurrence forevermore? Let&#8217;s hope so!</p>
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		<title>
		By: Caitlin Daily		</title>
		<link>https://www.groovehq.com/blog/customer-service-prevention#comment-5396</link>

		<dc:creator><![CDATA[Caitlin Daily]]></dc:creator>
		<pubDate>Tue, 05 May 2015 18:42:45 +0000</pubDate>
		<guid isPermaLink="false">http://www.groovehq.com/blog/?p=2918#comment-5396</guid>

					<description><![CDATA[Len, this is by far my favorite post of yours. Being the contact for our customer support, these are the things I&#039;m always bringing to our teams&#039; attention and trying to implement. There&#039;s always going to be future features to work on, but if our past implementations are not working to their finest, why progress when you&#039;re not giving your customers 100%? This also cuts down on customer support so that you can truly help people having issues, instead of responding to 5 tickets about one bug that will &quot;eventually&quot; be fixed.]]></description>
			<content:encoded><![CDATA[<p>Len, this is by far my favorite post of yours. Being the contact for our customer support, these are the things I&#8217;m always bringing to our teams&#8217; attention and trying to implement. There&#8217;s always going to be future features to work on, but if our past implementations are not working to their finest, why progress when you&#8217;re not giving your customers 100%? This also cuts down on customer support so that you can truly help people having issues, instead of responding to 5 tickets about one bug that will &#8220;eventually&#8221; be fixed.</p>
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		<title>
		By: Matt		</title>
		<link>https://www.groovehq.com/blog/customer-service-prevention#comment-5399</link>

		<dc:creator><![CDATA[Matt]]></dc:creator>
		<pubDate>Tue, 05 May 2015 16:16:29 +0000</pubDate>
		<guid isPermaLink="false">http://www.groovehq.com/blog/?p=2918#comment-5399</guid>

					<description><![CDATA[&quot;An apple a day keeps failure demand away?

We&#039;ve also been trying to reduce the amount of repetitive and predictable issues in our system. We refer to this as &#039;failure demand&#039;, but it&#039;s basically the same thing you are describing here. The term failure demand was coined by John Seddon. He defines it as &#039;demand caused by a failure to do something or do something right for the customer&#039;. (The opposite of failure demand is value demand.)

We have been categorising these sorts of issues (by customer ticket), but one thing we&#039;ve struggled with is how granular this categorisation should be. I&#039;d be interested if you could share a bit more detail about your approach to this: perhaps with some more examples of the labels you&#039;re using.s failure demand away?&quot;]]></description>
			<content:encoded><![CDATA[<p>&#8220;An apple a day keeps failure demand away?</p>
<p>We&#8217;ve also been trying to reduce the amount of repetitive and predictable issues in our system. We refer to this as &#8216;failure demand&#8217;, but it&#8217;s basically the same thing you are describing here. The term failure demand was coined by John Seddon. He defines it as &#8216;demand caused by a failure to do something or do something right for the customer&#8217;. (The opposite of failure demand is value demand.)</p>
<p>We have been categorising these sorts of issues (by customer ticket), but one thing we&#8217;ve struggled with is how granular this categorisation should be. I&#8217;d be interested if you could share a bit more detail about your approach to this: perhaps with some more examples of the labels you&#8217;re using.s failure demand away?&#8221;</p>
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