Analytics Maturity Self-Assessment
15 questions across five dimensions. No email required. Based on the AI-Ready Analytics Ladder framework used by Adasight with scaling companies.
Where is your organization on the analytics maturity ladder?
Answer 15 questions about how your organization currently handles data, tracking, governance, and experimentation. You'll get a stage result and a concrete set of next steps.
About the Analytics Maturity Framework
What is analytics maturity?
Analytics maturity describes how systematically an organization collects, governs, and acts on data. Organizations at low maturity stages use data reactively; those at high maturity stages run continuous experiments and can leverage AI agents operating on trusted, governed data.
What are the 5 stages of the AI-Ready Analytics Ladder?
Stage 1 — Reactive: Ad-hoc reporting, no shared definitions, data used to explain the past. Stage 2 — Structured: Consistent tracking, basic dashboards, reliable but reactive. Stage 3 — Proactive: Experimentation begins, but A/B tests are ad-hoc. Stage 4 — Systematic: Continuous experimentation, shared hypotheses, feedback loops. Stage 5 — AI-Ready: AI agents can act on trusted, real-time, governed data.
What dimensions does this assessment cover?
The assessment covers five dimensions: (1) Data infrastructure and tracking quality, (2) Data governance and definitions, (3) Reporting and dashboard maturity, (4) Experimentation capability, and (5) AI readiness. Each dimension contributes to your overall stage placement.
What should I do after getting my score?
The assessment provides stage-specific recommendations. Most organizations find the highest-leverage action is closing the gap between their current and next stage — not jumping to Stage 5 all at once. The recommendations focus on the single most important lever for your current stage.