The workshop will happen over four 1.5 hour long live sessions, online and recorded.
Understand DORA metrics and their limitations for quality improvement
Learn when industry-standard metrics might not address your specific challenges
Identify gaps between DevOps performance metrics and quality perception
Discover why generic metrics often fail to transform testing roles
Create a balanced measurement approach that elevates your advisory status
Identify specific, measurable quality pain points that gain stakeholder attention
Validate impact through stakeholder interviews that position you as a business partner
Frame clear problem statements that drive action and demonstrate your strategic thinking
Establish baseline metrics using existing data to show your analytical skills
Prioritise by estimating business impact vs. implementation effort to showcase your business acumen
Create 2-3 custom metrics that directly measure the problem and build your credibility
Leverage existing tools (Git stats, bug trackers, CI/CD logs) to demonstrate technical knowledge
Set up lightweight collection methods that don't burden your team
Define clear thresholds for success/failure that show your objective approach
Visualise data in accessible formats that communicate your findings effectively to all stakeholders
Design minimally viable experiments that address problems without overwhelming resources
Time-box experiments (1-2 weeks maximum) to show respect for team time
Implement with the smallest possible scope to gain quick wins and build trust
Collect metrics continuously during experiments to demonstrate your attention to detail
Make binary decisions: scale, pivot, or abandon - showing your decisive leadership