Category topic templates for cleaner support intake
Give support and bug-report categories a topic template so new threads arrive with the version, setup, and failure details the team actually needs.
Why this can grow a startup
Support threads feel slower than they need to because the first reply is often a scavenger hunt for basic context. Topic templates fix that cheaply. Discourse lets category owners prefill the composer with the fields they want every new topic to answer. That shifts the forum from reactive interrogation to faster diagnosis. It also improves the archive later because future readers land on threads that already contain the environment, reproduction clues, or account context that makes the answer usable.
Source-backed example
Discourse's category topic templates are commonly used as forms in support categories so every new request follows a consistent format.
Source-reported evidence
Source: Discourse Meta: Using Topic Templates for Categories
Discourse category topic templates prefill the composer so each topic can follow a consistent format.
Attributed to the cited source; GrowthDex has not independently verified it. Use this as context, not as a forecast, benchmark, or recommended target.
Evidence scope: claims and metrics are attributed to the linked source; GrowthDex has not independently replicated the reported result. Check the original context and validate fit before applying it. Read the evidence methodology.
Source discovered: May 29, 2026
When to use it
Use this when Support, Community, Product is relevant to support ops, intake quality, faster triage and you can run a bounded test with a free 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.
How to do it
- Choose one target segment and define the exact next action this tactic should prompt.
- Adapt the tactic to Support and Community, using evidence from Discourse Meta: Using Topic Templates for Categories as context—not as a promised result.
- Record a baseline for: Users who resolve the issue and complete the next useful action. Set a guardrail that would make you pause the test.
- Run a narrow pilot and choose a test window that fits the normal decision or use cycle; do not scale before you have observed the full cycle.
- Compare the signal with its baseline. Scale only if the intended action improves without crossing the guardrail; otherwise revise one variable or stop and record what you learned.
Compare a stack for your situation
Compare source-backed tactics against your product, stage, budget and channel strengths, then choose one experiment to test.
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Apply this with an operator
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