Let a new filter supersede expensive work already in progress
Fast typing schedules several expensive filter computations. Results from an earlier query briefly replace the latest selection and consume time after they are irrelevant.
- Focused work estimate
- 5h 30m + prerequisites
- Priority in the scenario
- High
- Engineering practice
- Scheduling · Concurrency correctness
Estimated field mix
- Performance engineering50%
- Frontend50%
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.
Acceptance criteria
- Choose a bounded scheduling or worker strategy and explain why it fits the measured bottleneck.
- Publish results only for the current dataset and query revision; discard superseded work safely.
- Preserve responsive keyboard input and a clear pending state without moving focus or showing stale result counts.
Implementation constraints
- If using a worker, include transfer/serialization cost in the comparison and terminate it when the screen unmounts.
Verification to include
- Complete an older query after a newer query and verify only current results appear.
- Type and clear rapidly while replacing the dataset, then inspect responsiveness, final IDs and worker or task cleanup.
- Repeat baseline and selected-strategy runs three times under the same recorded browser workload; compare input-latency distributions and long-task counts, including worker transfer and serialization overhead when applicable.
Deliverables
- Scheduling decision, implementation and out-of-order completion tests
Rollout and recovery
Canary the alternate filter path locally; reverting cancels its work and restores synchronous filtering with the same query state.
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.