The Overview Sheet is the main table in a RankGear workbook: one row per measured factor, showing its correlation with ranking, the per-result values from the pages analyzed, Your Value, the Deficit, the Goal, Usage and Class, with a legend at the bottom that explains the columns.
| Term | Overview Sheet |
|---|---|
| Category | Reports, Workbooks and Exports |
| Also known as | Overview |
| Where it appears | Workbook Overview |
What it means in RankGear
When an analysis finishes and RankGear writes its results to a workbook, the Overview Sheet is the sheet you land on. It lays the whole run out as one wide factor table: every factor RankGear measured gets a row, and the columns carry that factor’s correlation with ranking position, the values observed across each result in the comparison set, your target page’s own number under Your Value, the gap between the two as Deficit, the Goal for that factor, plus its Usage and Class. A legend at the foot of the sheet spells out what each column and code means, so the table can be read on its own without cross-referencing other documentation.
How to interpret it
Start at the top of the sheet with the run summary and the legend, so you know exactly what each column is reporting before you read a single value, then scan down the factor rows. The Overview Sheet is a jumping-off point rather than the last word: use it to spot which factors carry the largest, best-supported deficits, then follow into the supporting sheets or report sections for the detail behind a given row. When you share the workbook, keep its run metadata intact, because a factor value only means something alongside the settings, comparison set and date of the run that produced it.
| Column | What it tells you |
|---|---|
| Correlation | How closely that factor tracked ranking position across the analyzed results. |
| Per-result values | The factor’s measured value on each page in the comparison set. |
| Your Value | The same factor measured on your target page. |
| Deficit | The gap between Your Value and the target the run is steering toward. |
| Goal | The value RankGear suggests reaching for that factor. |
| Usage / Class | How the factor is applied and the group it belongs to. |
Example
You run “emergency plumber” and open the resulting workbook. The Overview Sheet shows a body-word-count row where the ten ranking pages cluster around 1,400 words while Your Value reads 620, a Deficit the sheet flags plainly against a Goal near the field median. A few rows down, your H1 factor already matches the ranking pages, so its Deficit is effectively nil. Reading the sheet top to bottom, you can see at a glance which factors are worth chasing and which are already settled, without opening any of the deeper sheets.
Important considerations
- A workbook is a snapshot of one run. Compare like for like, and treat two Overview Sheets as comparable only when they share the same settings and comparison set.
- The sheet’s formatting is presentation, not extra evidence. A bold cell or a color code restates a measured value; it does not add weight to it.
- Correlation is not causation. A high correlation in the sheet means ranking pages tended to share that factor value, not that the factor caused their positions.
- Per-result values inherit the scale and coverage limits of whichever provider supplied them, so read each factor against its own correlation rather than as an absolute score.
Related terms
Part of the RankGear glossary · how RankGear measures · the 870 factors.