How to represent the anamolies in process from registration to discharge in healthcare system
I am working on patient journey process and figuring a way to map the stress points involved in the anamolies in conflict processes in the journey of patient registration to discharge. The main objective is to point out the specific proces…
Online Generating Dendrograms with imported CSV file
I did an Open Card Sorting and the only result I have is a CSV file, is there any website out there that performs hierarchical clustering on an imported file like CSV to generate dendrograms or similarity matrix? free or paid doesn’t matte…
Getting the Most Out of Surveys
The purpose of surveys and unmoderated research is to gain knowledge off the back of insights. To get insights, you need is accurate data. This isn’t always easy to come by. There is always the potential for bias to creep in and disrupt any meaningful results. By the time you have got your fingernails dirty by digging through reams of excel spreadsheets, it’s sometimes too late to spot bias, and this leads to invalid results and questions. This article takes a look at the common pitfalls associated with survey design, data collection, and analysis.
Getting Started with Statistics for UX
Statistical analysis and inferential thinking are applied in a myriad of UX research methods. If you are new to statistical methods don’t panic, in this article we will only discuss the use case scenarios of two frequently used statistical analyses and simplify their explanations as much as possible.
Getting Started with Statistics for UX
Statistical analysis and inferential thinking are applied in a myriad of UX research methods. If you are new to statistical methods don’t panic, in this article we will only discuss the use case scenarios of two frequently used statistical analyses and simplify their explanations as much as possible.
Getting Started with Quantitative Data Analysis
Quantitative UX research is all about understanding numerical data that explains human behavior – and it’s one of the key elements of any creating a successful user experience. Many UX professionals are intimidated by quantitative data analysis and often stick to qualitative research methods. The power of quantitative research can provide deeper insights into user behavior through analysis methods like cross-tabulation, max-diff, and conjoint analysis.
Getting Started with Quantitative Data Analysis
Quantitative UX research is all about understanding numerical data that explains human behavior – and it’s one of the key elements of any creating a successful user experience. Many UX professionals are intimidated by quantitative data analysis and often stick to qualitative research methods. The power of quantitative research can provide deeper insights into user behavior through analysis methods like cross-tabulation, max-diff, and conjoint analysis.
UX Benchmarking: How much detail should be collected from a user within an enterprise product?
There’s a lot of value collecting benchmark data about a user’s experience over time. The problem that we are running into is how much information should we ask from our user to help us make informed decisions from data collected. We work …