Help-center homepage section order by job
Reorder articles and collections on the help-center homepage around the first job the visitor needs done, not the internal information architecture.
Why this can grow a startup
The first screen of a help center is a routing surface, not a sitemap. If the homepage always leads with collections when the fastest answer lives in a hand-picked article block, the layout is doing politics, not support. Reordering the sections around the most common job reduces the number of guesses before the reader hits a useful page. It is one of the cheapest ways to make a support surface feel more obvious.
Source-backed example
Intercom lets teams drag and drop homepage sections so Articles can sit above or below Collections.
Source-reported evidence
Source: Intercom Help · Browse Intercom Help tactics
Intercom explicitly supports drag-and-drop ordering of homepage Articles and Collections sections
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 28, 2026
When to use it
Use this when Support, UX, Website is relevant to routing, information architecture, self-serve 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 UX, using evidence from Intercom Help 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.
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