batch non urgent notifications
This evidence decision is attached to the maintained Brali entry above. The public protocol may be narrowed, reviewed, or kept practical according to the decision.
Evidence Ledger · Supports existing guidance · reviewed 2026-09-11
Effects of task interruptions caused by notifications from communication applications on strain and performance
The reviewed source is consistent with an existing Brali boundary.
Brali decision: Supports existing guidance. This page summarizes a reviewed evidence boundary; it does not reproduce the source and it does not turn one paper into a universal prescription.
What the source supports
Disabling automatic notifications can reduce notification interruptions; in this field experiment, fewer interruptions mediated better perceived performance and lower irritation.
What it does not establish
- All notifications should be off all day for everyone.
- The study proves an optimal focus-block duration.
- The effect is independent of FoMO and response expectations.
Important limitations
- The study was a one-day field experiment, so it does not establish durable effects of notification blocking over longer work periods or adaptation over time.
- Performance and irritation outcomes were self-reported, and the direct intervention effect on performance was not significant; the reported performance pathway was indirect through fewer interruptions.
- Work roles differ in response-time obligations, telepressure, fear of missing out and safety or escalation requirements, so an always-off notification rule is not supported.
- The study tests communication-application notification interruptions, not every form of digital distraction or every focus-window design.
Source context
Effects of task interruptions caused by notifications from communication applications on strain and performance
- Source type: primary-study
DOI: 10.1002/1348-9585.12408
What this changes in Brali
Editorial note: Strengthen the existing notification-batching surface rather than create a redundant always-off hack. Protect non-urgent focus windows while preserving explicit urgent-channel and role exceptions.
Use the boundary, not just the headline
When an AI agent or a person retrieves this decision, preserve both the supported claim and the unsupported or overstated claims. Dropping the boundary would turn a reviewed source into a stronger claim than Brali actually maintains.
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