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Role Based Path - QA & Release Management

This guide is for QA and Release leaders who want earlier signals for release risk and fewer late-cycle surprises. It focuses on using Delivery and Iterations to detect friction, plus gitStream (if e…

heather.hazell
Updated by heather.hazell

This guide is for QA and Release leaders who want earlier signals for release risk and fewer late-cycle surprises. It focuses on using Delivery and Iterations to detect friction, plus gitStream (if enabled) to reinforce low-noise PR hygiene.


Time Required: 6–10 minutes to orient, 15–20 minutes to set a release rhythm
Difficulty: Easy


TL;DR

  • Use Metrics → Delivery to spot review and merge friction that stalls release throughput.
  • Use Teams → Iterations to understand last-minute scope churn and unplanned work.
  • Use gitStream (if enabled) to reinforce low-noise PR hygiene and safe change patterns.
  • If your org has configured reliability or incident signals in LinearB, include them in your release narrative.

What you likely care about

  • Are PRs flowing cleanly into release windows?
  • Is late unplanned work increasing release risk?
  • Are PR sizes and review patterns contributing to instability?

Where to spend time in LinearB

Metrics → Delivery
  • Monitor stage-level slowdowns that cause release slip risk.
Teams → Iterations (Current + Completed)
  • Spot scope churn early in Current view.
  • Use completed and Trend patterns to reduce repeated last-minute surprises.
gitStream (if enabled)
  • To adopt low-noise quality/flow guardrails

Metrics to prioritize

  • Cycle Time stage patterns relevant to release flow.
  • Planned vs unplanned and carryover.
  • PR size and review-friction trends where relevant.

Recommended QA/Release operating rhythm

  • Weekly: Review Delivery stage trends for emerging release friction.
  • Per interaion/release: validate PR hygiene, readiness, consistency and scope stability.
  • Monthly: align with EMs on 1 small quality/flow improvement theme.

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