(Don’t worry about what the annotations on this document mean. Once you’ve gathered all the data in one location, analysis becomes significantly more efficient and much faster.įigure 1 shows an example of a marked-up section of a tally sheet. It is the sum of all the notes from the discussion guides for individual participants.īefore analyzing UX research data, you need to get all the data in one place so you can analyze the data more easily. A tally sheet is a copy of your discussion guide that you’ve marked up with the data from all of the research sessions. You can use a tally sheet to organize this data. So before you should even attempt to analyze the data from your research, you must first organize that data. It would be impossible to find just what you were looking for! If each finding were a needle, it would immediately get lost in an entire wall of haystacks. Paging through multiple stacks of participant notes-going back and forth, over and over again-to discover themes and patterns is extremely confusing and time consuming.
#TALLY SHEET FULL#
Once you’ve completed a multitude of research sessions for a study and your annotations are full of juicy findings, pertinent quotations, and indications of what participants do and don’t understand, how can you efficiently analyze the data you’ve captured during all of the sessions? (You can read more about making sense of what participants do and don’t understand in “ Sensemaking with Annotations.”)
(You could alternatively use a spreadsheet to accomplish the same task.) I’ll provide some examples of tally sheets on which I compiled data I had collected during UX research sessions. Once you’ve completed a study, you’ll analyze these tally sheets and report your findings-perhaps by adding your insights to a storage repository for future curation.
#TALLY SHEET HOW TO#
In this column, I’ll focus on how to go about collecting useful annotations from the discussion guides from various UX research sessions into one place, using handwritten tally sheets. That column also provides insights on the use of annotations to inspire those using the VDC method to extend their set of annotations and adapt the method to their UX research workflow. You can also read my subsequent Discovery column, “ Sensemaking with Annotations,” which covers the various annotations I use for VDC notetaking. For those of you who are wondering exactly what Visual Data Collection (VDC) is, you can read my article “ Increasing Your Research Velocity with Visual Data Collection,” which describes the method in full detail.
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