Interactive
The CRM Data Health Scorecard
A generalized, public version of the gated-readiness framework. It scores a synthetic dataset with a known answer key, so every dimension, including Accuracy, is measured for real. It runs entirely in your browser. Nothing is uploaded, stored, or sent anywhere.
The point is not to prove the sample data is good. The point is to show how many records a blended score would wave through that a gated model correctly stops.
The demo scores CRM-style account records, but the model is not CRM-specific. The same tiered scoring and gating apply anywhere a record, signal, or data product has to be trusted before a person or system acts on it.
100 synthetic records · a fresh set on every refresh · scored entirely in your browser
Gated readinessEach dimension must clear a floor on its own. A weak critical dimension caps the final result, so a strong average cannot override it. The record is classed by its weakest dimension.
A composite scoreThe plain average of the three dimension scores. It is the single number most data quality tools report, and the one a weak dimension can hide behind two strong ones. calls 67 of 100 records ready. Gated readiness calls 39 ready.
Average composite score: 75. The gap is records that look ready and are not.
Readiness distributionRecords grouped into five readiness classes by their final, gated score: Ready, Near Ready, Partially Ready, Low Readiness, and Not Ready.
Showing 100 records. Gate-caught records sort to the top. Click any record for its field breakdown.
Score your own data
Coming soonCSV scoring is not live yet. The current demo uses synthetic records only. The next version will score your own CRM export entirely client-side, scoped to account-level records (not contacts or leads). Before you upload, you sign a short confidentiality agreement in two clicks. It puts the client-side, nothing-leaves-your-browser handling in writing, so you can paste real accounts and know exactly how they are treated.
How to read this
Completeness, Standardization, and Accuracy are the operational cut of data quality I use for GTM records. Each record is scored on those three dimensions, weighted by field tier. The composite is the plain average. The gate is the rule that keeps the average honest: if any dimension falls below 60, the record is classed by its weakest dimension, not rescued by its average. This demo is generalized for illustration. Real implementations tune fields, tiers, weights, and floors to the actual system of record.