Quantifying The User Experience: Practical Statistics For User Research

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Course Objectives
This course will provides practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data. The course 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 Course provides a foundation for statistical theories and the best practices needed to apply them.  participants 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.
Course will Provides practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices
Show practitioners which test to use, why they work, best practices in application, along with easy-to-use excel formulas and web-calculators for analyzing data
Recommends ways for practitioners to communicate results to stakeholders  
Who Should Attend
Business professionals, business analysts, research professionals, marketing and sales, administrative staff, supervisors, general business professionals and staff from any function who need to learn and apply state-of-the-art techniques to their daily business reporting, reconciliations and analysis. 
Training Methodology
The training course adopts a problem-based learning approach, in which delegates are presented with a series of real numerical data analysis problems drawn from the widest possible range of applications – from engineering to finance and from logistics to quality control.
Each problem presents and  exemplifies the  need for a different data analysis approach. For reasons of time constraint it will not be possible to develop solutions during the training course to all of the problems posed. Nevertheless, all delegates will be given comprehensive solutions to all of the problems, to take away with them at the end of the training course, as future learning resources.
The training course is entirely applications-oriented, minimizing the time spent on the mathematics of analysis and maximizing the time spent on the use of practical methods in Excel, along with the understanding why such methods work.
Delegates will spend almost all of the time exploring Excel's data analysis and representation functionality, including the Data Analysis Tool Pack, to investigate the totally realistic data analysis problems.
Course Outline : 
1. Quantifying User Research 
2. How Precise Are Our Estimates? Confidence Intervals
3. Did We Meet or Exceed Our Goal? 
4. Is There a Statistical Difference between Designs?
5. What Sample Sizes Do We Need? 
6. Standard Usability Questionnaires 
7. Six Enduring Controversies in Measurement and Statistics
8. Correlation, Regression, and the Analysis of Variance 

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