Digital Maturity Benchmarks, Surveys & Scorecards
A practical look at the artifacts buyers actually want: structured surveys, consistent scoring, credible benchmarks, and scorecards (including sample tables and radar charts) that translate into a prioritized roadmap.
- Mid-market organizations (500–5,000 employees; ~$100M–$2B revenue)
- CIO, CDO, CTO, or Head of Digital / Transformation
- North America + Europe; active digital or AI initiatives
What you get: the artifacts
If you’re searching for digital maturity benchmarks, frameworks, surveys, or scorecards, these are the tangible outputs a professional assessment should produce.
- Survey instrument and response coverage by role / segment
- Quantified maturity scorecard by dimension (overall + segments)
- Benchmark view: peer band + industry averages + gap to leaders
- Visuals: radar charts, heatmaps, and board-ready scorecard slides
- A prioritized 12–18 month roadmap linked back to quantified gaps
Prefer an advisor-led engagement? See Digital Maturity Assessment. If you want to run this internally, see the self-serve tool.
Survey structure: how we capture digital maturity
The survey is structured around 8–12 dimensions from the DUNNIXER digital maturity model, with questions tailored for different roles and functions.
Typical assessments cover leaders and practitioners across technology, business units, and supporting functions, using a mix of Likert and multiple-choice questions.
- Role-specific question sets for executives, functional leads, and practitioners
- Coverage across strategy, customer and product, data and AI, technology, operating model, and governance
- Designed to complete in ~15–25 minutes per participant (with 45–60 minute interviews available for key stakeholders)
- Typically 5–10 stakeholders to balance breadth and depth
Scoring: from responses to maturity levels
Each question feeds into one or more dimensions of the model. Scores are calculated per dimension and then rolled up to an overall maturity view.
The scoring engine highlights where responses diverge across roles or segments, helping you see misalignment as well as overall strength.
A simplified example:
| Dimension | Score | Interpretation |
|---|---|---|
| Strategy | 3.2 / 5 | Digital ambition is defined, but not fully tied to funding and KPIs. |
| Data & AI | 2.7 / 5 | Foundations exist, but data quality, access, and governance are uneven. |
| Technology | 3.8 / 5 | Modern platforms in place, with pockets of legacy holding some areas back. |
We map scores into a 5-level maturity scale so executives can interpret what “2.9” or “3.4” means in practice. For the full 1–5 definitions (and how to read a scorecard and benchmark), see Digital Maturity Levels (1–5).
External benchmarks: where you stand vs peers
Benchmarks are built from anonymized assessment data and grouped by industry, size band, and (where relevant) geography. The goal is to give you directional, decision-ready context, not a misleading league table.
We typically show benchmark context in three layers:
- Peer group: similar size + sector profile
- Industry averages: aggregated directional baseline
- Best-in-class: top-quartile profiles to clarify the gap
- Percentile rank vs peers at overall and dimension level
- Gaps to best-in-class profiles by dimension
- Heatmaps of strengths and weaknesses across segments
Scorecards, heatmaps, and roadmaps
The output your executives see is a concise scorecard and roadmap, not a raw survey dump. Dimensions, scores, and benchmarks are visualized so priorities are clear.
Sample maturity scorecard (sanitized)
Illustrative example for a mid-market SaaS company (anonymized and aggregated).
| Dimension | Your score | Peer avg | Industry avg | Gap to leaders |
|---|---|---|---|---|
| Data & Analytics | 3.2 | 2.8 | 3.0 | -0.8 |
| Technology Infrastructure | 2.9 | 3.1 | 3.2 | -1.1 |
| Digital Operations | 3.5 | 3.3 | 3.4 | -0.5 |
| AI & Innovation | 2.7 | 2.5 | 2.6 | -1.3 |
| Governance & Culture | 3.1 | 3.0 | 3.1 | -0.9 |
| Overall maturity | 3.1 | 2.9 | 3.0 | -0.9 |
Interpretation: strong operations baseline, but a clear gap in AI enablement and infrastructure—often a signal to tighten vendor evaluation, data foundations, and modernization sequencing.
- Scorecards summarizing maturity by dimension and segment
- Heatmaps highlighting where capabilities are lagging or leading
- A 12–18 month roadmap organized by workstream, linked back to quantified gaps
Radar chart example (your scores vs peer benchmark).
Scorecard slide (anonymized example layout).
Roadmap excerpt (anonymized example layout).
Want to see a scorecard in context? Start with the Digital Maturity Assessment.
Pricing and next steps
The same survey, scoring, benchmark, and scorecard engine powers both delivery modes—consulting-led and self-serve.
Turn benchmarks into decisions
Whether you want a consulting-led engagement or a self-serve option, the same survey, scoring, and benchmark engine sits behind both. Prefer a practitioner-led team to facilitate interviews, executive working sessions, and board readouts? Our Digital Maturity Consultants engagement covers exactly that.
Comparing providers? See Digital Maturity Consultants & Assessment Providers.
Ready to move from theory to a baseline and roadmap?
Frequently asked questions
Practical questions CIOs and digital leaders ask about digital maturity surveys, scoring, benchmarks, and scorecards.