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| In This Issue | |
Feedback is our Greatest Source of Learning
By: Sherrie Mersdorf | Bill Gates once said "Your most unhappy customers are your greatest source of learning." It's true that not all feedback is positive, but the insights we learn from this feedback could help you win more business, retain more customers, and ultimately become the market leader in our space.
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Training Through the Eyes of the 7 Habits
By: Sarah Bohnenkamp |  | Spoiler alert: The last habit is Sharpen your Saw. Take time to improve yourself and your skills and it will payoff in your training as well. This post outlines four of the seven habits and how they apply to training professionals.
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Revisited: The 6 Steps of the Market Research Process
By: Sherrie Mersdorf | Each month, we're reviving an old popular post. This month we dive into the six steps of market research process: Goals, Approach, Design, Collection, Analyze, Report.
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Where's Your Skeptic's Hat? Analytics Needs Customer Feedback Mechanisms
By: Darshan Desai |  | It's time to rethink the idea of using the static data, like purchase history and demographic data, to construct complex mathematical, predictive models. To enhance predictive and explanatory power of your models, it is important to augment the operational data with customer experience data.
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Revisited: Additional Comments are a Survey MUST
By: Sherrie Mersdorf |  | Every survey best practices article talks about shortening the length of questionnaires and cutting out questions if they don't directly relate back to a market research goal. However, there's one question that should always be added: the Additional Comments Question.
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4 Tips for Creating Customer Satisfaction Surveys
By: Greg Timpany |  | Let's face it, everyone uses some form of customer satisfaction survey in their process. Are they all timely, well-designed and actionable? The short answer is NO! It is our mission as marketing researchers to provide timely insights to management in a fashion they can act on.
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Probability Allocation for Measuring Loyalty Behavior
By: Greg Timpany |  | The probability allocation measure is steeped in brand research, but works quite effectively for assessing likelihood to return to a brand for an additional purchase. The question asks respondents to assess what their expected share of purchases within a product or service category will be allocated to a specific brand.
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