Sartorium Studio Development Blog

Questions: What do I want the user to be able to accomplish?  Is there a part of the POD app that doesn't work very well in regards to UX?  Can the user be encouraged to identify areas that can be improved?  Can Quantitative data be generated in this process?  How can I ensure my research is reliable ? How can I ensure my research is valid ?  Jakob Nielsen (Nielsen Norman Group) Do realistic tasks to reveal functions that may not be working.  Give one task as a time.  Tester can sit back away from the user The user can ask questions but cannot answer it (can the user find the answer themselves).  Encourage the user to think out loud.  Tester can take notes. Usertesting.com User may not be screened correctly or be in the test group.  It is better to observe directly if possible.  Useit.com Blog NN/g UX Conference address  Reliability (can the test be repeated) Validity (do the findings mea...

Questionnaire Design Consent Form  - Thank you for taking part  - Aim of Study  Ask for  - Gender (f/m)  - Exact Age (not age categories)  Radio Buttons  Android ios Tick Boxes  Multiple choice option Phrase questions simply Do not use Free Text Boxes (if possible) Use interview instead Use rating scale questions (avoid 5 point scales)  likert scales Example: Casual Gaming questionnaire Organise the data in an EXCEL spreadsheet.  Use excel functions to calculate  - AVERAGE this will give you the mean  - STDEV will give you Standard Deviation These could form some of the questions on my questionnaire  Sliding Questions   How much do you enjoy the look and feel of this app ?  How easy did you find it to navigate around the app?  How easily could you pick up the instruments in the virtual clinic? How useful did you find the clinic test ?...

Notes Quantitative Research: Erik Geelhoed Questionnaires : Online forums that collect data from users Technology Logs: When an app was started ended, what buttons were selected  Observations When, How Long, How Often  Quantitative Research 1.Nominal Data (Frequency) Data eg: Tally Red or yellow cars in an hour. 25 red cars and 10 yellow cars Is this statistically significantly different?   2. Ordinal Data - Prioritise "what do you like better apples, bananas or clementines  Forced to make a choice and order them. This is the 3 alternative forced choice (3 AFC) Statistical Analysis - a great many Differences Correlations which can lead to a market segmentation. We do not know how much one option is preferred over the other choice. 3. Scale Data - ratings "where 1 is low and 5 is high"  Scale data gives the most powerful statistical analysis. T Test Analysis of Variance (ANOVA) Evaluate more than one variable at a time Betwe...