DORA Engineering Metrics (Deploy Frequency, Lead Time, CFR & MTTR) Tier Calculator

Benchmark software delivery velocity & stability against DORA Elite, High, Medium, and Low tiers.

Composite DORA Engineering Score
100 / 100 (DORA Elite Performer)
Expected Failed Deployments per Year 24.3 incidents/yr
Annual Incident Outage/Recovery Hours 18.225 hrs/yr
Successful Deployments per Year 515.7 deploys/yr
Inputs
⚡ Scenarios:
deploys/mo
Production deployments per month (≥30 = daily/on-demand Elite; 4–29 = weekly High; 1–3 = monthly Medium).
hours
Median hours from code commit to production running (<24h Elite; 24–168h High; >168h Medium/Low).
%
Percentage of deployments causing production degradation or rollback (≤5% Elite; 5%–15% High).
hours
Mean time to restore service after a failed deployment (<1h Elite; <24h High).
Results & Graph
Composite DORA Engineering Score
100 / 100 (DORA Elite Performer)
Expected Failed Deployments per Year
24.3 incidents/yr
Annual Incident Outage/Recovery Hours
18.225 hrs/yr
Successful Deployments per Year
515.7 deploys/yr

Composite DORA Engineering Score

Graph 1 • DORA Engineering Metrics Tier • Domain Architecture & Live Telemetry Maps Deployments Per Month, Lead Time For Changes Hours, Change Failure Rate Pct through DORA Engineering Metrics Tier Formula.
Source / Tx Target / Rx DORA Engineering Metrics Tier Propagation Path Composite DORA Engineering 100 / 100 (DORA El Expected Failed Deployment: 24.3 incidents Annual Incident Outage/Rec: 18.225 hrs/yr
Graph 2 • Composite DORA Engineering Score Across Deployments Per Month Sweep (40% → 160%) Evaluates DORA_Score = 0.25×(DeployScore + LeadTimeScore + CFR_Score + MTTR_Score) across 7 operating points (current input highlighted).
0 / 100 55.00 / 100 110.0 / 100 93.75 18 93.75 27 100 36 100 45 100 54 100 63 100 72
Graph 3 • Joint Sensitivity: Deployments Per Month × Lead Time For Changes Hours Compares Composite DORA Engineering Score when Lead Time For Changes Hours is shifted +25% (solid) vs. −25% (dashed).
0 / 100 55.00 / 100 110.0 / 100 --- Lead Time For Changes Hours @ 75% 100 -30% 100 -15% 100 +0% 100 +15% 100 +30%
Summary: Your team scores 100/100 (DORA Elite Performer), averaging 24.3 failed deployments per year and 18.2 annual incident recovery hours.
Summary: Your team scores 100/100 (DORA Elite Performer), averaging 24.3 failed deployments per year and 18.2 annual incident recovery hours.
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Formula & Mathematical Methodology: DORA Engineering Metrics Tier Formula

DORAScore = 0.25×(DeployScore + LeadTimeScore + CFRScore + MTTRScore)
AnnualFailedDeploys = DeploysPerMonth × 12 × CFR%
DORA_Score = 0.25×(DeployScore + LeadTimeScore + CFR_Score + MTTR_Score); AnnualFailedDeploys = DeploysPerMonth × 12 × CFR%
  • deploymentsPerMonth: Production deployments per month (≥30 = daily/on-demand Elite; 4–29 = weekly High; 1–3 = monthly Medium).
  • leadTimeForChangesHours: Median hours from code commit to production running (<24h Elite; 24–168h High; >168h Medium/Low).
  • changeFailureRatePct: Percentage of deployments causing production degradation or rollback (≤5% Elite; 5%–15% High).
  • meanTimeToRecoveryHours: Mean time to restore service after a failed deployment (<1h Elite; <24h High).

Rounding: Internal floating-point calculations run in 64-bit IEEE-754 double precision; display values round to 2–4 decimal places.

Worked Example: DORA Engineering Metrics Tier Worked Example

Benchmark software delivery velocity & stability against DORA Elite, High, Medium, and Low tiers.

  1. Enter the input measurement, system configuration, or astronomical parameter.
  2. Apply the standard conversion or analytical equation: DORA_Score = 0.25×(DeployScore + LeadTimeScore + CFR_Score + MTTR_Score); AnnualFailedDeploys = DeploysPerMonth × 12 × CFR%.
  3. Inspect the primary metric, secondary equivalents, and 3 real-time SVG graphs.
Result: Computes DORA Engineering Metrics Tier via DORA_Score = 0.25×(DeployScore + LeadTimeScore + CFR_Score + MTTR_Score); AnnualFailedDeploys = DeploysPerMonth × 12 × CFR%.

Frequently Asked Questions

How does the DORA Engineering Metrics (Deploy Frequency, Lead Time, CFR & MTTR) Tier Calculator perform the calculation?

It evaluates DORA_Score = 0.25×(DeployScore + LeadTimeScore + CFR_Score + MTTR_Score); AnnualFailedDeploys = DeploysPerMonth × 12 × CFR% directly in your browser and renders three custom SVG charts in real time.

Can I solve backwards for an input parameter using Goal Seek?

Yes. Click "🎯 Goal Seek" in the results toolbar to solve backwards for any numeric input field.

Does this tool work offline?

Yes. All calculations run 100% locally in your browser with full offline PWA support.

Developer Tools · Networking & Systems Performance

DORA Engineering Metrics (Deploy Frequency, Lead Time, CFR & MTTR) Tier Calculator: inputs, method, and how to read the result

Benchmark software delivery velocity & stability against DORA Elite, High, Medium, and Low tiers.

Choose inputs for the case you are checking

The defaults are illustrative. Replace them with values for your case and keep the units shown beside each field.

  • Deployments Per Month: Production deployments per month (≥30 = daily/on-demand Elite; 4–29 = weekly High; 1–3 = monthly Medium).
  • Lead Time For Changes Hours: Median hours from code commit to production running (<24h Elite; 24–168h High; >168h Medium/Low).
  • Change Failure Rate Pct: Percentage of deployments causing production degradation or rollback (≤5% Elite; 5%–15% High).
  • Mean Time To Recovery Hours: Mean time to restore service after a failed deployment (<1h Elite; <24h High).

What the calculation includes

With the default values shown, Composite DORA Engineering Score is 100 / 100 (DORA Elite Performer). The calculation follows DORA Engineering Metrics Tier Formula; the formula and variable definitions above show how the inputs combine.

A question to settle before using the estimate

How does the DORA Engineering Metrics (Deploy Frequency, Lead Time, CFR & MTTR) Tier Calculator perform the calculation? It evaluates DORA_Score = 0.25×(DeployScore + LeadTimeScore + CFR_Score + MTTR_Score); AnnualFailedDeploys = DeploysPerMonth × 12 × CFR% directly in your browser and renders three custom SVG charts in real time.

Where to use caution

  • Uses official NIST Special Publication 811, IEEE/RFC systems engineering, APA psychometric, and USNO astronomical formulas.
  • Empirical metallurgy and calendar conversions represent standard reference-condition approximations.

Scope: Global NIST, IEEE, APA & Astronomical Standard Check the assumptions and limitations against your situation before relying on the estimate.

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