Approve schedule optimizations only when the measured interaction improves
Several changes reduced different counters. The team needs a release decision tied to the actual filter-and-select workflow and its accessibility contract.
- Focused work estimate
- 5h + prerequisites
- Priority in the scenario
- High
- Engineering practice
- Performance budgets · Release decisions
Estimated field mix
- Performance engineering50%
- Quality engineering30%
- Accessibility20%
Field percentages are editorial estimates of the ticket's engineering focus. They total 100%; they are not measured time, proficiency scores, or ownership evidence.
Review it, then add it to your workspace.
The board opens an editable draft; nothing is saved until you confirm it. Sign-in and workspace permissions apply, and Demo boards remain ephemeral.
Project context
A fictional repair coordinator opens a week containing 2,000 jobs. The initial page loads, but filtering and selecting a job can freeze the interface. Build a synthetic scheduling screen with keyboard operation before measuring changes.
Setup prerequisites
- Create a local schedule UI with 2,000 synthetic jobs, long labels, empty results and deterministic responses.
- Record browser version, viewport, device emulation, CPU/network throttling and build mode for every comparison.
Preceding work
Complete these dependencies, or supply their agreed outputs before taking this ticket.
- PWEB-101 · Record the schedule workflow that freezes after filtering
- PWEB-102 · Identify which schedule code is shipped before the first interaction
- PWEB-104 · Load the schedule export code when export is requested
- PWEB-103 · Measure long tasks caused by filtering rather than counting renders alone
- PWEB-105 · Render only the visible schedule rows without losing keyboard position
- PWEB-106 · Reuse formatted job data only while its inputs remain unchanged
- PWEB-107 · Let a new filter supersede expensive work already in progress
- PWEB-108 · Find retained job rows after repeated schedule navigation
- PWEB-109 · Make the schedule performance run include slow devices and empty results
Acceptance criteria
- Compare three paired runs per declared profile and require at least 20% lower median filter-to-result duration on the constrained profile.
- Require unchanged selected IDs, keyboard behavior and empty-state behavior, with no increase beyond 10% in initial transferred script bytes.
- Report all timings, spread, retained-object observations and inconclusive results; document which changes are included and why.
Implementation constraints
- The numerical budgets apply only to this fixture and lab profile. Preserve raw traces so reviewers can assess attribution and noise.
Verification to include
- Run the complete workflow against baseline and candidate in alternating order.
- Revert the combined candidate and verify both functional behavior and measured baseline recovery under the same profiles.
Deliverables
- Release decision, paired trace bundle and rollback rehearsal
Rollout and recovery
Promote the chosen combination only after the exercise gates pass; keep each optimization independently reversible where state compatibility permits.
Value of the work
For the engineer: Connect bundle, rendering and interaction measurements to user-visible behavior without losing accessibility.
For the team: Produce a bounded performance investigation and regression workflow for dense operational interfaces.
Evidence boundaries
Outcome Evidence: Tests, patches, and runbooks are requested deliverables. They become Outcome Evidence only through a qualified Mission and immutable Evidence IDs.
Ownership Evidence: Independent adaptation must be observed under a declared verification policy and cite immutable Evidence IDs. Completing a planning ticket establishes no Ownership Evidence.