| Graphs & Calculators |
| Z-Score to Percentile Calculator Look up the area under the normal curve (1 or two-sided areas) from a standard score (Z-score). Percentile to Z-Score Calculator Usability Scorecard Confidence Interval Calculator for a Completion Rate Graph and Calculator for Confidence Intervals for Task Times SUM: Single Usability Metric (Presented at CHI 2005) Sample Size Calculator for Discovering Problems in a User Interface Deriving a Problem Discovery Sample Size Side-bar to The Risks of Discounted Qualitative Studies: |
| Methods & Techniques |
| How Do You Calculate a Z-Score/ Sigma Level? The basics of z-scores are discussed plus an example of raw usability data converted into z-scores including three of Nielsen's five usability attributes. Calculating a Sigma Level from Task Success Usable Statistics What's a Z-Score and Why Use it in Usability Testing? Calculating Sample Size for Task Completion (Discrete-Binary Method) Why 6σ is Not Limited to Manufacturing Processes Measuring & Analyzing Task Times Calculating Sample Size for Task Times (Continuous Method) What's the 1.5σ Shift and Does it Apply to Software Usability? The Importance of Task Order Randomizing during a Usability Test What is an Acceptable Level of Quality for Usability? Task Times in Formative Usability Tests |
| Theory & Publications |
| Making Sense of Usability Metrics: Usability and Six Sigma Presented at UPA 2005 This paper identifies the limitations of traditional usability metrics and presents a process to increase their meaning by adapting Six Sigma methods. We define how common usability metrics can be evaluated in terms of a standardized defective rate or quality level and explore the benefits of this data transformation. Use the Usability Scorcard or the excel-based SUM calculator to standardize your metrics. Restoring Confidence in Usability Results Relevant Publications for Measuring Usability |
| Commentary |
| Premium Usability: Getting the Discount without Paying the Price ACM Subscription Required You can use measures such as confidence intervals, sample size calculations—and other statistics normally associated with more premium usability methods—without the high costs. These methods require no money to compute yet provide a wealth of information. Even better, you can still provide these quantitative qualifiers while using most discount methods. Pre-Published PDF Version The Risks of Discounted Qualitative Studies: Response to Nielsen Current Usability Solutions are Unpredictable Task Times in Formative Usability Tests |
