Skip to content
Calcrivo

DevOps Maturity Score Calculator

Score your organization's DevOps maturity across automation, culture and metrics.

Inputs

1 = monthly or less, 5 = multiple deploys per day.

1 = over a month, 5 = under an hour.

1 = high failure rate, 5 = very low (0-15%) failure rate.

1 = days/weeks to recover, 5 = under an hour to recover.

1 = mostly manual processes, 5 = fully automated CI/CD and infrastructure as code.

1 = minimal visibility, 5 = comprehensive metrics, logs, traces and proactive alerting.

DevOps Maturity Category

Defined

Weighted Maturity Score

3.00/ 5

Maturity Score

50.0%

Simple Average (unweighted)

3.00/ 5

Step by step

  1. Weighted score across 6 dimensions

    3×0.2 + 3×0.2 + 3×0.2 + 3×0.2 + 3×0.1 + 3×0.1

    = 3.00

  2. Score as percentage of scale (1-5 → 0-100%)

    (3.00 − 1) ÷ 4 × 100

    = 50.0%

  3. Maturity category

    weighted score 3.00

    = Defined

How it works

This maturity score combines the four DORA metrics (deployment frequency, lead time for changes, change failure rate, MTTR) with two supporting capability dimensions (automation, monitoring/observability), each self-rated 1-5, into a single weighted score. The DORA metrics are weighted at 0.2 each (80% of the total) since they're outcome-based and empirically linked to organizational performance, while automation and monitoring are weighted at 0.1 each (20% total) as enabling capabilities. Categories — Beginning, Developing, Defined, Managed, Optimizing — mirror common capability maturity model (CMM) terminology adapted for DevOps.

Formula

score = df×0.2 + lt×0.2 + cfr×0.2 + mttr×0.2 + auto×0.1 + mon×0.1

D_f
Deployment frequency score (1-5)
L_t
Lead time score (1-5)
C_f
Change failure rate score (1-5)
M_r
MTTR score (1-5)
A
Automation score (1-5)
O
Monitoring/observability score (1-5)
S
Weighted maturity score (1-5)

Frequently Asked Questions

Why are the DORA metrics weighted higher than automation and monitoring?

The four DORA metrics are outcome measures with published research correlating them to organizational performance; automation and monitoring are important enabling practices but are inputs rather than validated outcomes, so they carry less weight in this model.

How should I score each dimension consistently?

Use the helper text ranges as anchors, but for the most defensible score, base each 1-5 rating on your actual DORA metric values (e.g. actual deployment frequency, actual lead time) rather than a subjective feeling of maturity.

What does 'Optimizing' maturity look like in practice?

Elite-tier DORA metrics across the board, fully automated CI/CD with infrastructure as code, comprehensive observability with proactive alerting, and a culture of blameless postmortems driving continuous improvement.

Can a team score high on automation but still be 'Developing' overall?

Yes — a low weight dimension like automation can't compensate for weak outcomes in the DORA metrics, which is intentional: the model rewards actual delivery performance over process investment alone.

You might also need

Related Calculators

Deployment Frequency CalculatorLead Time for Changes CalculatorSLO Compliance CalculatorMTTR Calculator