Comparative Grids

Comparative Analysis Grids, previously called Custom Grids, group participants into custom rows by segment and participant. Each row summarizes how that group responded to the question at the top of the column, which makes them useful for consolidating a large number of participants into a readable grid.

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What you can still do

Open a comparative grid from the Analysis Grids section to:

• Read every row’s summary and the overview at the top of each column
• Click any bullet point to see which participants were bucketed into it, and hover a participant name to check their segments
• Click an answer to see the supporting quotes
• Copy a column, or export the whole grid
• Reorder or delete columns, and rename or delete the grid
• Clone it into a new analysis grid to continue the analysis

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What is no longer available

• Creating a comparative grid
• Adding a row, or editing a row’s segment and participant filters
• Adding, editing, or regenerating a question

Rows and columns left unfinished when grids became read-only show Not generated instead of an answer. Clone the grid into a new analysis grid to run those questions again.

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Cloning into an analysis grid

Click Clone to new grid to copy the grid’s rows and columns into a new analysis grid, which then computes them in the current format. Two things can change during the copy, and CoLoop tells you how many when it happens:

• Rows whose filter no longer matches anyone are skipped. A row built on a deleted participant or an emptied segment resolves to nobody, so it is dropped rather than copied empty.
• Duplicate rows and columns are merged. If two rows or two questions were identical, the new grid keeps one.

Check the new grid against the original before you rely on it, and rebuild any skipped rows from the segments you still have.

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Row filters

Each row was built from a filter combining up to 10 segments and 50 speakers. Open a row’s filter to read how it was composed, including the conjunction used to combine its parts. The filter is displayed for reference and can no longer be edited. For larger datasets, such as community data with more than 200 participants, use an analysis grid.