Begin to put these rows in some sort of associative order by grouping these rows closely together. Look at each row of data and decide what the participant’s intent was. Select a second combed document and begin the grouping process by dragging and dropping individuals rows from that document into your master file. Once you’ve completed combing at least a few (if not all) the interviews, identify your best-combed document and use that as the start of your master grouping file.Also fill in associated data like participant ID, etc. Copy/comb a transcript quote directly into a new row in OmniOutliner and label.Here is Voltaire’s combing file template (2Kb zip file). You can create one Outliner document for each interview. Set up columns for your data by using the “add column” feature on the toolbar.The videos are a bit fuzzy because he wants to show the whole screen to get the best view of how the tools work, so you’ll have to use your imagination a little.) First, get all the data into rows in Omni Outliner. (The video demonstrations by Voltaire will help clarify the written instructions. The rest of this post was guided by two people I am grateful to: Voltaire Miran Santos and Jeremy Yuille.Ī mental space generated with Omni Outliner & Omni Graffle To use any Microsoft products, nor my homegrown Python script. Not only that, but now I’ve seen proof you can use the native diagrammingįeature to create the mental model itself! It is true: you are not obliged ![]() ![]() Organize it into labels, quotes, participant IDs, dates, team member, etc.,īut it’s also great for massaging all that data into hierarchical groups. Suspicions are correct! Not only is it a nice way to collect the data, Tool to comb, group, and create the mental model diagram. Several people have told me that they suspect OmniOutliner would be a great
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