STG’s DORA & Engineering
Excellence Model
(DORA – DevOps Research and Assessment)
STG helps companies and engineering teams improve software delivery performance by effectively implementing DORA metrics and other engineering excellence measures.
Every organization we have worked with has experienced a significant increase in overall productivity, throughput efficiency, increased predictability, and a reduction in downtime.
STG’s approach unlocks your engineering potential — delivering higher productivity, greater stability, and increased predictability
DORA Metrics Primary Objectives
By measuring the velocity of development, stability of deployments, and overall product delivery, DORA metrics empower engineering teams to become more self-motivated and driven to continually enhance their software delivery performance with each iteration. Improving a team’s DORA metrics directly translates into stronger business outcomes by increasing organizational productivity, responsiveness, and effectiveness. It’s important to note, however, that DORA metrics primarily focus on the team’s capability to produce and deliver value—they do not directly measure the quality of the output or the product itself.
Deployment Frequency
As the term implies, Deployment frequency indicates the frequency with which a team implements changes to production.
Highly productive teams opt for smaller and more frequent production releases. This approach enhances customer confidence and loyalty, helps you stay ahead of your competitors, and accelerates your delivery of business objectives and value to your user base.
Lead time for change
This metric measures the time from the initial code commit to production deployment. It helps to better understand the team’s cycle time and assesses its overall adaptability to the evolving product roadmap.
The shorter the time required to make changes, the more responsive the team is and the faster they can add value to the product.
Change failure rate %
This metric gives the percentage of changes that subsequently resulted in incidents, rollbacks, degradation in service, or any other type of production failure. According to the DORA report, the best-performing companies are between 0 and 15%.
Time to restore
The mean time to recovery measures the required time to restore service caused by an outage or significant degradation of service. This metric is significant because it encourages developers to build more reliable, available, and resilient systems. We typically measure the mean time to recovery by tracking the average time from when an incident is reported to when service is restored.
But DORA metrics alone are not enough
STG’s model will guide you to a custom set of additional measures and approaches that are simple yet powerful. We will help you realize the potential you are you looking for.
