Search Device Comparison Worksheet
Compare organic search observations across mobile and desktop with consistent scope, then investigate the actual experience before naming a device problem.
Read this resource as Markdown
When to use this template
Use this when mobile and desktop search results appear different for the same relevant page or page group. Keep date, country and search-type scope consistent, then inspect the actual journeys.
Choose another approach when: The samples are too sparse to interpret, filters differ between exports, or the comparison is being used to claim a controlled experiment occurred.
Gather these inputs
- Comparable Search Console views for the selected devices.
- The page group, period, search type and any country filters.
- A safe way to inspect the page and task on each relevant device class.
Copy and adapt the template
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Worked example
Illustrative example, not a Crany customer result. Replace every example detail with facts you can verify.
Fictional comparison shows lower mobile CTR on a client-handoff resource. Both views use the same country, dates and page filter. The founder initially suspects a signup defect, but no mobile journey has been tested. Review finds different visible query mixes and asks for a device usability check before editing the offer. If that check finds a clipped button, it establishes a page defect worth fixing. It still does not prove that the defect caused the earlier search-result CTR difference.
How to use it
- Build comparable device views and record the exact filters applied.
- Inspect mix differences and test the relevant page task on actual device classes.
- Separate observed report differences, confirmed interface defects and unresolved causal explanations.
Check before using it
- The report windows and search types match.
- Mobile CTR is not confused with the rate of completing a task after arrival.
- A device-specific fix is supported by direct evidence of a defect.
What to measure
Track resolved journey defects and later consistent device-level observations. Interpret before/after changes cautiously because search visibility and audience composition can change independently of the fix.
Research and sources
Google supports dimensional comparisons and warns that filters affect data interpretation. The mix review and journey checks are original diagnostic planning, not proof of a causal device effect.
- Google Search Console: Advanced filtering and comparison — checked 2026-10-24. Comparable device, country, page and time scopes; filters and aggregation affect interpretation.
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