Customer Experience

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There's a plethora of both big and small data to describe the customer experience. It comes in both qualitative and quantitative forms. In all cases, visualizing data is one of the most effective ways to uncover relationships and patterns, which leads to better insights and improvements in user experiences. Here are five techniques to use to better visualize your data. 1. Affinity diagrams An affinity

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For all products, whether new or existing, there's a seemingly endless push (and usually strong financial incentive) to innovate. Innovation can mean improving the customer experience or adding new features or functions to address customer needs. Innovation is more than just an epiphany moment from a solo genius. It's usually the result of much effort and more failure from many people. While no magic method

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It's fundamental to creating both a usable customer experience and a better business: you need to know who your customers are. It however can be surprisingly difficult for organizations to connect with their customers to collect information. But just because it isn't easy doesn't mean you should skip it. Collecting core demographic information and customer attitudes lays the foundation for building personas and customer segments,

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Surveys are a relatively quick and effective way to measure customers' attitudes and experiences along their journey. Not all customer experience surveys are created equal. Depending on the goals, the type of questions and length will vary. While customer experience surveys can take on any form, it can be helpful to think of them as falling into these seven categories. 1. Relationship/BrandingCustomers' attitudes toward a

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There's a lot to measure in the customer experience.  There's also many ways to collect the measurements. While the "right" methods and metrics you select depend on the industry and study goals, this list covers most of the online and offline customer experience. It includes a cross section of the four types of analytics data to collect, with an emphasis on collecting customer attitudes via

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Shift happens. Customer attitudes shift based on product, website, or any number of experiences. That shift can be for the better or worse: A great experience using a product to solve a problem An infuriating call to customer support An emotionally evocative advertisement A frustrating time locating information on a website One way to understand how particular experiences impact attitudes is to measure lift. Lift

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Most companies have more bug lists and requests for product features than they can realistically address. In an earlier post, I present ways to help you prioritize those features; now let's figure out where to start. This post describes an approach that works in many situations, beginning with a survey of your customers or prospects, or a representative set thereof, with the following objectives: Measure

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Innovation can't be legislated. It can't be bought. Where does it come from? Innovation comes from identifying customers' needs and meeting them. Easy to understand. Hard to do. Companies like Uber, Airbnb, and Intuit understand this--and they're doing it. Uber's success, for example, has come not from building new, better taxis but from seeing--and then solving--people's transportation problems. Want to know where to put your

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Too much to do and too little time (and money). If you're introducing or improving a product or website, you probably have an impossibly long list of features you'd like to fix, improve, or add. Prioritizing this list is essential to the success of your product and potentially business. But what's the best way to approach this? How do you decide what to do first?

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