Guided journey
I have a finished feature — what now?
A team has shipped something and wants to know if it's working. The instinct is to celebrate or to move on to the next thing. The Pipeline asks: did it actually achieve what it was supposed to?
Shipping is not the end of the iteration — Test is. A feature that has been delivered but not measured is not a feature that has been validated.
This journey walks through how to close the loop on something already in production, gather honest evidence, and feed what you learn back into the next flywheel iteration.
Steps
Restate the success criteria
Go back to the PRD or capability spec. What did the team say good would look like? Measurable and capability-focused — what the capability or product had to be able to do, and to what threshold. If the criteria were vague, that's a finding in itself.
Run a system survey in DASH
Structured feedback from real users or operators of the deployed system. If the team captured a baseline at the start of the project, compare against it — that's what turns 'the new system scored X' into 'the new system improved against the legacy by Y'.
Instrument with Dynatrace
Quantitative usage data on the live product — paths, drop-offs, error rates, anomalies. Pair with the DASH survey signal: behaviour data plus structured feedback is stronger than either alone.
Run usability sessions (digital) or operator validation (engineering)
Quantitative evidence tells you what happened. Qualitative evidence tells you why. You need both.
Synthesise the findings
What changed because of this work? What didn't? What surprised the team?
Decide: iterate, harden, or sunset
A finding without a decision attached is a finding that didn't change anything.
Update OKRs in DASH
When the results validate or invalidate a target, update OKRs in DASH so the next iteration measures against the right thing. This is how the Pipeline accumulates measurement discipline across iterations.
Update the PRD or scenario
Whatever the team learned, write it into the source artefact so the next team benefits. This is how the Pipeline accumulates knowledge.