Highest-volume question first in each help collection
Put the most asked question at the top of each support collection so the page answers the likeliest job before the visitor has to scan the rest.
Why this can grow a startup
Collection order is usually treated like housekeeping, but it changes how quickly a reader feels oriented. Leading with the most requested answer shortens the path to resolution and teaches the user that the archive understands their priorities. It also gives support teams a simple way to turn article-performance data into a better first impression.
Source-backed example
Intercom recommends placing the most important or most valuable article first in a collection and suggests checking article performance if you are unsure which one matters most.
Source-reported evidence
Source: Intercom Help · Browse Intercom Help tactics
Intercom advises teams to lead with the article customers look for first and to use article-performance data to decide.
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, Documentation, SEO is relevant to help center, content prioritization, support-led growth 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 Documentation, using evidence from Intercom Help as context—not as a promised result.
- Record a baseline for: Qualified search visitors who complete the intended next 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
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Apply this with an operator
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