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Growth idea action plan

Linear JQL webhook filter before sync flood

Edit the Jira webhook with a JQL filter before sync goes live so the trial only pulls the issue classes you actually want to evaluate.

rare tacticlow budget

Why this can grow a startup

A sync trial gets noisy when every class of Jira work arrives in Linear at once. Linear gives teams a cleaner path: narrow the webhook itself with JQL so only the right issues create or update mirrored work. That keeps the evaluation surface focused on the jobs that matter and prevents the new tool from being judged by the legacy noise it never needed to inherit.

Company example

Linear documents editing the Jira webhook and adding a custom JQL query in the Issue related events field so only issues that meet the filter sync into Linear, including issues that later change to match the rule.

Source and metric

Source: Linear Docs: Jira · Browse Linear Docs: Jira tactics

Linear says the webhook-level JQL filter applies both at issue creation time and when an existing Jira issue is later updated to match the filter.

MigrationOperationsDeveloper Toolsdual-run trialjira syncmigrationscope control
GrowthDex operator note

When to use it

Use this when Migration, Operations, Developer Tools is relevant to dual-run trial, jira sync, migration and you can run a bounded test with a low budget.

When not to use it

Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.

Founder checklist

  1. Read Linear Docs: Jira and identify what is directly supported.
  2. Choose one channel context: Migration, Operations, Developer Tools.
  3. Define the test around Linear says the webhook-level JQL filter applies both at issue creation time and when an existing Jira issue is later updated to match the filter..
  4. Set an owner, evidence window, and stop condition before launch.

Explore the context

Advisory bridge

Apply this with an operator

Choose product surfaces that compound distribution without hiding weak activation or retention.

Work with Ian