Analytics Maturity Quick Assessment (One-Page)

{ "Title": "Analytics Maturity Quick Assessment (One-Page)", "IntroductionHtml": "

Use this quick assessment to get an evidence-based snapshot of analytics readiness across five practical dimensions. Spend about 10–20 minutes: select a score for each dimension, check evidence items you can confirm, add short notes, and identify your top three next actions. The form saves structured responses so teams can compare, track progress, and prioritize investments.

How to score

Score each dimension from 1 (very immature) to 5 (mature) based on observable evidence, not aspirations. Pick the score that best matches current, repeatable reality.

Quick guidance by score band

• 1–2 (Reactive): Fix immediate blockers: stabilize data capture, assign ownership, and stop major manual rework.
• 3 (Organized): Standardize definitions, implement basic tooling and workflows, and train core people.
• 4 (Managed): Automate quality checks, define governance processes, expand analytics use, and connect outcomes to decisions.
• 5 (Optimized): Continuous measurement, predictive use cases, clear ROI, and sustained cross-team practices.

Below each dimension you'll find a short evidence checklist to guide scoring and a small notes area for context. Use the top-three-actions field to capture the highest-impact, realistic next steps after you submit.

", "SubmitLabel": "Save assessment", "SuccessMessage": "Assessment saved. You can repeat this assessment later to track progress and compare results across teams or periods.", "DataType": "AnalyticsMaturityQuickAssessment", "SchemaVersion": 1, "Fields": [ { "Key": "assessor_name", "FieldType": "text", "Label": "Assessor name / role", "HelpText": "Your name and role (e.g., Data Lead, Ops Manager)." }, { "Key": "organization", "FieldType": "text", "Label": "Organization / team", "HelpText": "Team, plant, or department being assessed." }, { "Key": "assessment_date", "FieldType": "text", "Label": "Date", "HelpText": "YYYY-MM-DD" }, { "Key": "data_quality_score", "FieldType": "scale", "Label": "Data & Quality — score (1–5)", "Min": 1, "Max": 5, "Step": 1, "HelpText": "1 = frequent, unresolved data issues; 5 = automated checks, lineage, and SLAs in place." }, { "Key": "data_quality_evidence", "FieldType": "checkbox", "Label": "Evidence checklist — Data & Quality", "Options": [ {"Value": "defs_glossary", "Label": "Documented data definitions / glossary"}, {"Value": "validation_monitoring", "Label": "Automated validation and quality monitoring"}, {"Value": "lineage", "Label": "Data lineage and provenance documented"}, {"Value": "issue_resolution", "Label": "Defined issue tracking and resolution process"}, {"Value": "quality_metrics", "Label": "Regular quality metrics and reporting"} ] }, { "Key": "data_quality_notes", "FieldType": "textarea", "Label": "Notes — Data & Quality", "HelpText": "Brief evidence, recent incidents, or context (2–4 sentences)." }, { "Key": "platform_tools_score", "FieldType": "scale", "Label": "Platform & Tools — score (1–5)", "Min": 1, "Max": 5, "Step": 1, "HelpText": "Consider accessibility, scalability, integration, and tooling for analysts and operators." }, { "Key": "platform_tools_evidence", "FieldType": "checkbox", "Label": "Evidence checklist — Platform & Tools", "Options": [ {"Value": "central_platform", "Label": "Central analytics/platform or integrated stack"}, {"Value": "self_service", "Label": "Self-service reporting for non-technical users"}, {"Value": "data_pipeline", "Label": "Automated, monitored data pipelines"}, {"Value": "tooling_std", "Label": "Standardized toolset and templates"}, {"Value": "access_control", "Label": "Role-based access and environment segregation"} ] }, { "Key": "platform_tools_notes", "FieldType": "textarea", "Label": "Notes — Platform & Tools", "HelpText": "Key limitations, tool gaps, or recent upgrades." }, { "Key": "governance_score", "FieldType": "scale", "Label": "Governance & Policies — score (1–5)", "Min": 1, "Max": 5, "Step": 1, "HelpText": "Look for ownership, policies, data contracts, and decision-rights." }, { "Key": "governance_evidence", "FieldType": "checkbox", "Label": "Evidence checklist — Governance & Policies", "Options": [ {"Value": "data_owners", "Label": "Named data owners and stewards"}, {"Value": "policies", "Label": "Published data policies and access rules"}, {"Value": "decision_processes", "Label": "Documented decision processes using analytics"}, {"Value": "compliance", "Label": "Compliance and privacy controls in place"}, {"Value": "change_control", "Label": "Change control for datasets and models"} ] }, { "Key": "governance_notes", "FieldType": "textarea", "Label": "Notes — Governance & Policies", "HelpText": "Where responsibilities are unclear or policy gaps exist." }, { "Key": "team_skills_score", "FieldType": "scale", "Label": "Team & Skills — score (1–5)", "Min": 1, "Max": 5, "Step": 1, "HelpText": "Assess availability of analytics skills, cross-training, and role clarity." }, { "Key": "team_skills_evidence", "FieldType": "checkbox", "Label": "Evidence checklist — Team & Skills", "Options": [ {"Value": "role_defs", "Label": "Clear role descriptions for data/analytics functions"}, {"Value": "training", "Label": "Ongoing training and skill development"}, {"Value": "cross_functional", "Label": "Cross-functional teams and sponsorship"}, {"Value": "hiring_plans", "Label": "Active hiring or capacity plan"}, {"Value": "knowledge_sharing", "Label": "Knowledge sharing and documentation practices"} ] }, { "Key": "team_skills_notes", "FieldType": "textarea", "Label": "Notes — Team & Skills", "HelpText": "Skill gaps, critical hires needed, or training wins." }, { "Key": "delivery_impact_score", "FieldType": "scale", "Label": "Delivery & Impact — score (1–5)", "Min": 1, "Max": 5, "Step": 1, "HelpText": "Measure whether analytics deliver measurable business outcomes and are used in decisions." }, { "Key": "delivery_impact_evidence", "FieldType": "checkbox", "Label": "Evidence checklist — Delivery & Impact", "Options": [ {"Value": "kpi_links", "Label": "Analytics are explicitly linked to KPIs or OKRs"}, {"Value": "decision_use", "Label": "Regular use of analytics in operational decisions"}, {"Value": "roi_tracking", "Label": "Tracking ROI or business impact for analytics projects"}, {"Value": "production_models", "Label": "Productionized dashboards or models with SLAs"}, {"Value": "feedback_loop", "Label": "Mechanisms for measuring outcomes and feedback"} ] }, { "Key": "delivery_impact_notes", "FieldType": "textarea", "Label": "Notes — Delivery & Impact", "HelpText": "Examples of recent wins or missed opportunities." }, { "Key": "top_three_actions", "FieldType": "textarea", "Label": "Top three next actions (prioritized)", "HelpText": "List the three highest-impact, realistic next steps. Be specific (who, what, by when)." }, { "Key": "suggested_stakeholders", "FieldType": "checkbox", "Label": "Suggested stakeholders to involve (select all that apply)", "Options": [ {"Value": "cxo", "Label": "Executive sponsor (C-level)"}, {"Value": "data_lead", "Label": "Head of Data / Analytics"}, {"Value": "it_ops", "Label": "IT / Platform"}, {"Value": "product_ops", "Label": "Product / Operations"}, {"Value": "compliance", "Label": "Compliance / Legal"}, {"Value": "line_manager", "Label": "Line managers / domain experts"} ] }, { "Key": "artifacts_to_request", "FieldType": "checkbox", "Label": "Sample artifacts to request (select items you can collect)", "Options": [ {"Value": "data_catalog", "Label": "Data catalog or dictionary"}, {"Value": "lineage_docs", "Label": "Data lineage diagrams"}, {"Value": "sample_reports", "Label": "Representative reports and dashboards"}, {"Value": "pipeline_docs", "Label": "Data pipeline and ETL documentation"}, {"Value": "org_chart", "Label": "Org chart or role matrix"} ] }, { "Key": "additional_notes", "FieldType": "textarea", "Label": "Additional context or concerns", "HelpText": "Anything else the assessor wants to capture." } ] }