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Analyzing tracker studies

This guide assumes your waves are already in one stacked dataset (for example after you Combine files). You can treat the project like any survey, or use tracker-specific workflows below.

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Analyzing tracker studies

Filter to a single wave

  • Use a wave / round column (or equivalent) in a filter to focus on one round only.
  • With that filter applied, the whole dashboard respects it—you only see questions asked in that round and responses for that slice.

This is the fastest way to report “what round 11 looks like” without rebuilding files.

Compare change across rounds

For questions that repeat across waves:

  1. Open a question and use related columns / the stats view to see how it connects to round (or time).
  2. Switch to a trend view (for repeated measures, a line chart is often clearest).
  3. Merge categories in the legend when there are many answer codes—for example, group “positive” and “negative” ends of a scale so the chart is readable. Merging is non-destructive; you can undo or revert to the original categories later.
  4. Read the pattern: which way the top box moves, whether shifts come from the middle (“neutral”) vs the tails, and how many rounds you actually have for that question (some items may only appear in a subset of waves).

Segments and countries

Trackers often include country, market, or custom segments:

  • Pivot or reorder views to compare (for example) two countries side by side.
  • Use percentage base and show numbers on chart when you need to explain gaps (e.g. 24% vs 8% on a category).
  • Reset legend edits to bring back every category if you want the full breakdown again—useful before running significance or when the simplified view was only for exploration.

Saving your work

  • Pin or save charts to your dashboard as you find stable views.
  • Add findings to Insights so stakeholders can revisit the same cuts later.

See also