Search dashboard segmented by brand, locale, and role
Review help-center search analytics by brand, locale, and user role instead of treating failed searches as one undifferentiated support problem.
Why this can grow a startup
Search failures usually hide inside averages. A query that works for signed-in English customers can still fail for prospects in another locale or for a second brand with weaker coverage. Segmenting the dashboard by brand, locale, and role shows where search breaks for a specific audience, which makes the next docs fix much easier to prioritize. It also keeps the team from over-editing articles that are fine for one segment and weak for another.
Company example
Zendesk's Search dashboard can be filtered by Time, Brand, Search channel, User role, and Locale, and reports searches with no results, click-through rate, tickets created, and top clicked articles.
Source and metric
Source: Zendesk Help · Browse Zendesk Help tactics
Zendesk retains Search dataset reporting for up to 390 days and exposes no-result searches, click-through rate, and ticket-to-search ratio
Source discovered: May 28, 2026
When to use it
Use this when Support, Analytics, SEO is relevant to search analytics, localization, support ops 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
- Read Zendesk Help and identify what is directly supported.
- Choose one channel context: Support, Analytics, SEO.
- Define the test around Zendesk retains Search dataset reporting for up to 390 days and exposes no-result searches, click-through rate, and ticket-to-search ratio.
- Set an owner, evidence window, and stop condition before launch.
Explore the context
Apply this with an operator
Turn isolated search tactics into a crawlable visibility system tied to demand and proof.