Quantifying the User Experience: Practical Statistics for User Research, Second Edition, provides practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data. The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. It addresses questions users face every day, including, Is the current product more usable than our competition? Can we be sure at least 70% of users can complete the task on their first attempt? How long will it take users to purchase products on the website? This book provides a foundation for statistical theories and the best practices needed to apply them. The authors draw on decades of statistical literature from human factors, industrial engineering, and psychology, as well as their own published research, providing both concrete solutions (Excel formulas and links to their own web-calculators), along with an engaging discussion on the statistical reasons why tests work and how to effectively communicate results. Throughout this new edition, users will find updates on standardized usability questionnaires, a new chapter on general linear modeling (correlation, regression, and analysis of variance), with updated examples and case studies throughout.

The easy way to grasp customer analytics

Ensuring your customers are having positive experiences with your company at all levels, including initial brand awareness and loyalty, is crucial to the success of your business. "Customer Analytics For Dummies" shows you how to measure each stage of the customer journey and use the right analytics to understand customer behavior and make key business decisions.

"Customer Analytics For Dummies" gets you up to speed on what you should be testing. You'll also find current information on how to leverage A/B testing, social media's role in the post-purchasing analytics, usability metrics, prediction and statistics, and much more to effectively manage the customer experience. Written by a highly visible expert in the area of customer analytics, this guide will have you up and running on putting customer analytics into practice at your own business in no time.Shows you what to measure, how to measure, and ways to interpret the dataProvides real-world customer analytics examples from companies such as Wikipedia, PayPal, and WalmartExplains how to use customer analytics to make smarter business decisions that generate more loyal customersOffers easy-to-digest information on understanding each stage of the customer journey

Whether you're part of a Customer Engagement team or a product, marketing, or design professional looking to get a leg up, "Customer Analytics For Dummies" has you covered.

A step-by-step guide for calculating the most common statistical procedures in user research using Excel or R. With 100 examples pulled from Quantifying the User Experience (Morgan-Kaufmann) we provide the reader with the right methods for comparing means and proportions, generating confidence intervals, finding the right sample size as well as many statistical procedures not available in common statistical packages. The procedures are relevant for small and large sample sizes.

Background, Benchmarks & Best Practices for using the System Usability Scale (SUS) Questionnaire

A detailed and readable guide that answers the most common questions that arise when measuring the usability of websites, software or cellphones. What measures do you take? What do have users do? What questionnaires do you use? What about sample size and statistical analysis?