Before you analyze,
check the pulse.
Data Health Check screens collected survey data in seconds. Duplicates, straight-lining, speeders, missingness, low-effort answers. Ten checks, one score, and the fixes that matter first.
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Where it sits in your workflow
✚
Data Health
Data Health Check
Screen the dataset the moment it comes back. Catch the rows that would quietly bend every result downstream.
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Ten checks
The problems
you cannot see
in a spreadsheet.
A respondent who answered every scale item with the same number. A duplicate row from a double submission. A survey finished in ninety seconds that should have taken six minutes. Each one bends your results, and none of them is visible by scrolling.
✓
Duplicates
Identical rows and repeated respondent IDs.
✓
Response behavior
Straight-lining, speeders, low-effort open-ends.
✓
Data integrity
Invalid values, outliers, zero-variance items.
✓
Missingness
Gaps by item and mostly-empty respondents.
One score
One number.
A clear answer
to "can I trust this?"
Every check lands as clean, warning, or alert, and they roll up into a single 0 to 100 health score with a plain-language reading. Alerts first, warnings second, and the exact rows and variables to look at. You know what to fix before it becomes a finding.
Health score
Checks clean
Rows flagged
Ready
Continue to Strength Index, Descriptive Studio, or a ReliCheck app
Run the check
before the claim.
Run the check before the claim.