Many organizations have large amounts of survey data. This can be from surveys conducted directly or ‘survey-like’ data from customer relation management (CRM) systems, chat logs, call center logs, or customer reviews. Now, what to do with all of this data? One option is survey data analysis. Survey data analysis is the examination and reporting […]
Using Personas for Survey Data Analysis Read More »
Wan to share an observation about first- and second-order utility of personas. What do these terms mean? first-order utility: personas help the designer to understand people (i.e., they help the designer do their job better) second-order utility: the benefit to the users via the use of personas (e.g., new features, better usability) These two can
First- and second-order utility of personas Read More »
Personas are often created based on user interviews. Yet, researchers rarely make their interview questions publicly available or justify how they were chosen. In this research, lead by Joni Salminen, we manually extract 276 interview questions and categorize them into 10 themes. The 10 theme taxonomy was created based on abduction, i.e., a qualitative technique
In a user experiment, we tried out a novel data collection approach consisting of combining surveys with the think-aloud method. We coin the phrase “think-aloud survey method”, where participants think-aloud while completing a questionnaire. We analyzed the transcripts and found that the think-aloud survey provides deeper insights into the reasoning behind the participants’ Likert scale
Think-Aloud Surveys – A Method for Eliciting Enhanced Insights During User Studies Read More »
Research has found that the concept of “persona” is predominantly deployed in Human-Computer Interaction (HCI) studies, but there is a stream of Natural Language Processing (NLP) studies that also refer to the concept of persona. This post aims at making a conceptual distinction in these two different types of referring to personas. First, HCI studies
NLP vs. HCI Personas: What’s the Difference? Read More »
Research has focused on measuring persona perceptions, i.e., what users think of personas they are shown. These efforts can focus on individual personas, i.e., we show a persona or two to the user and ask their opinions about the persona’s usefulness, completeness, credibility, and so (see the Persona Perception Scale). However, persona sets (i.e., groups
Measuring personas or persona sets? Read More »
We compare a data-driven persona system and an analytics system for efficiency and effectiveness for a user identification task. Findings from the 34-participant experiment show that the data-driven persona system affords faster task completion, is easier for users to engage with, and provides better user identification accuracy. Eye-tracking data indicates that the participants focus most
