Digital maturity methodology — DII and ODRM
A score that cannot explain where it came from is marketing. This page publishes the whole calculation model — variables, weights, risk factors and known limitations — so that every result can be traced back to the answers and rules that produced it.
What the tool measures
You pick one of two assessments: the indicative one (up to 20 questions, 6–8 minutes) or the comprehensive one (typically 43–56 questions, 15–25 minutes — a maturity ladder guides the questions: anchor questions set a preliminary level for each area, key gates confirm it, and high claims get a follow-up verification question; 6 scored modules A–F plus intake, ROI and DII questions). Scored questions offer an “I don't know” option, which is excluded from the score rather than counted as zero. The output is five independent indicators:
| Indicator | Range | What it tells you |
|---|---|---|
| DII-Compatible Score | 0–100 (plus a 0–12 conversion) | Comparison against the European digital intensity benchmark |
| Operational Readiness Score (ORS) | 0–100 | Actual operational maturity, not merely tool adoption |
| AI & Automation Readiness | 0–100 | Cross-cutting readiness for AI and automation |
| Technical Debt & Risk Index (TDRI) | 0–100 (higher = worse) | Technical debt and operational risk |
| Business Impact Potential | hours / person-days / EUR per year | Savings estimate across three scenarios (conservative, realistic, optimistic) |
The DII layer
The DII layer maps the 12 variables of Eurostat's Digital Intensity Index (dataset isoc_e_dii, version 3, 2025 survey) onto a granular score. Eurostat rotates the variable set every two years (2024 survey = version 4, 2025 survey = version 3, differing in 7 of 12 variables), so both the benchmark data and the questions are anchored to one version and one survey year.
Reference values: the distribution of enterprises across digital intensity bands is 41.6 / 32.0 / 20.4 / 6.0% for Slovakia, 28.5 / 30.6 / 28.9 / 12.1% for Czechia and 27.9 / 34.5 / 27.5 / 10.1% for the EU-27; the derived medians are 4.3 (SK), 5.6 (CZ) and 5.4 (EU) (Eurostat ISOC_E_DII, 2025 survey). Digital Decade KPI — share of SMEs at basic digital intensity: Slovakia 57.1%, Czechia 70.5%, EU 71.4%, with a 90% target by 2030. The language version you choose sets the home benchmark: English (EU) compares against the EU-27 average, Slovak against SK, Czech against CZ.
The ODRM layer — six areas of operational maturity
The Operational Digital Readiness Model measures operational maturity with fixed weights — adopting a tool is not the same as being mature at it:
Risk and savings estimate
The risk index works with 14 risk factors (RF01–RF14), including unpreparedness for mandatory electronic invoicing and for NIS2. The savings model uses an hourly labour cost based on the respondent's sector (€13.0–30.8/h, Eurostat lc_lci_lev 2025, NACE sections; where no sector is given it falls back to €30.8/h — NACE J — which is flagged as a possible overestimate). The questionnaire deliberately never asks about salaries.
The methodology and the recommendations incorporate the 2025–2027 regulatory context: NIS2 and Slovak Act No. 366/2024 Coll. on cybersecurity, mandatory B2B electronic invoicing in Slovakia from 1 January 2027 (Peppol, EN 16931) and EU Regulation 2024/1689 (the AI Act).
Note — the regulatory context is anchored in SLOVAK legislation, because the tool is calibrated for Slovak SMEs. Companies elsewhere in the EU are covered by the same NIS2 directive and the same AI Act, but the national implementing acts, deadlines and the scope of regulated entities differ, and the tool does not yet cover them. Treat the regulatory part of your result as indicative; the benchmark and the scores apply to you in full.
Methodological principles: a score must decompose back to individual answers and rules (explainability); adopting a tool is not the same as maturity; technical debt is a separate dimension, not a discount on the score; and an impact estimate must publish its calculation model.
Known limitations
We state them explicitly, because they affect how the results should be read:
- Sector and size medians for ORS are expert estimates, not empirical data from our own dataset.
- The savings model estimates potential only — no investment cost, no adoption curve. The output is an annual run-rate after full implementation.
- Companies with fewer than 10 employees are not covered by Eurostat DII data.
- The data is self-reported, with no independent verification.
- DII is an approximation of the official Eurostat model: per-indicator aggregation (DII1–DII12) extrapolates from the indicators actually measured — the comprehensive quiz covers 10 of 12, the indicative one 8 of 12, and the coverage is stated directly in the result.