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RevOps Audit

CRM Data Quality Assessment(Free Download)

Professional 30-criterion CRM data quality framework for RevOps and Data teams: Completeness (10), Accuracy (10), and Freshness (10), with 0-5 scoring and automated 0-100 dashboards.

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Data quality scorecard

CRM Data Quality Assessment — Data quality scorecard preview

What's included

Overview and instructions, 0-5 scoring guide, 30-criteria table (10 per dimension), automated dimension and overall scoring dashboard, data quality classification, and recommendations / action plan section.

criteria30
dimensions3
completeness Items10
accuracy Items10
freshness Items10

Automation rules

  • Criterion score <=2 surfaces specific remediation guidance
  • Dimension score <50 triggers dimension-level priority actions

Custom fields

Score (0-5)
Optional notes
Per-criterion recommendation

Dashboards & views

  • Completeness vs Accuracy vs Freshness
  • Overall DQS
  • Classification
  • Recommendation list

Template specs

Difficulty
Advanced
Setup time1–2 hours
IndustryUniversal
Plan required
Free

Updated 2026-04-09

No credit card · Free forever

Structured assessment to measure, score, and improve CRM data across three dimensions. Each of 30 criteria uses a 0-5 maturity scale with clear definitions; dimension scores normalize to 0-100, with an overall Data Quality Score (0-100) and classification bands from Critical to High-Quality. Includes optional notes per row, visual breakdown by dimension, formula references (normalized, equal-weight, and weighted overall), and auto-generated recommendations for completeness gaps, duplicates, standardization, and freshness SLAs. Built for Excel, Google Sheets, Notion, and PDF workflows.

The Problem This Solves

Teams cannot fix what they do not measure. Incomplete, inaccurate, and stale CRM data silently erodes routing, forecasting, and customer experience until revenue impact is visible.

Who It's For

RevOps, Sales Ops, Marketing Ops, CRM administrators, data stewards, and analytics teams responsible for CRM trust and governance.

Use Cases

  • Baseline and track CRM data quality quarter over quarter
  • Prioritize cleanup and tooling investments with a shared scorecard
  • Align sales, marketing, and CS on required data standards
  • Support audits, migrations, and integration health initiatives

How to Use This Template

  1. 1

    Open the interactive assessment from the template page

  2. 2

    Rate all 30 criteria using the 0-5 scoring guide and add optional evidence in notes

  3. 3

    Review dimension scores (Completeness, Accuracy, Freshness) and overall Data Quality Score

  4. 4

    Use automated recommendations to build a remediation backlog with owners

  5. 5

    Export CSV for workshops; re-run on a fixed cadence to prove improvement

Inside the template: sample data

The exact rows that ship with the CRM Data Quality Assessment download — replace them with your own records after import.

SectionFormula / LogicOutput
Completeness score(SUM(Completeness scores)/(10*5))*1000-100
Accuracy score(SUM(Accuracy scores)/(10*5))*1000-100
Freshness score(SUM(Freshness scores)/(10*5))*1000-100
Overall (normalized)(SUM(all 30 scores)/150)*1000-100
Overall (equal dimensions)(Completeness+Accuracy+Freshness)/30-100
Classification0-20 Critical, 21-40 Poor, 41-60 Moderate, 61-80 Good, 81-100 High-QualityTier label

Frequently Asked Questions

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