# Top no-result queries become the docs repair queue

> Review the most common searches that return no results and turn them into the next documentation or routing fixes instead of guessing which gaps matter.

- Canonical HTML: https://growth.iangoh.com/growth-ideas/top-no-result-queries-become-the-docs-repair-queue/
- Source: [support.zendesk.com](https://support.zendesk.com/hc/en-us/articles/4408818465562-Analyzing-help-center-search-results)
- GrowthDex source hub: [Zendesk Help: Analyzing help center search results](/sources/zendesk-help-analyzing-help-center-search-results-support-zendesk-com/)
- Last checked: 2026-05-29
- Rarity: uncommon
- Budget: free
- Channels: Support, Analytics, SEO
- Stages: search analytics, docs ops, support SEO, voice of customer
- Key metric: Zendesk surfaces the top 5 search strings that returned no results.

## Why this can grow

Docs teams often write from internal memory while the real misses sit in the search log. Zendesk's Search dashboard exposes the top queries that returned no results, which is the cleanest possible queue of unmet demand. That matters because a no-result query is usually a user who already tried to self-serve and still hit a wall. Fixing those misses improves support efficiency, keeps searchers from bouncing to the inbox, and gives the help center a tighter relationship with the language customers actually use.

## Ian's take

From scaling consumer platforms across MENA and Southeast Asia, my default is to distrust growth work that only looks good in a slide. For SEO and AI search, I care less about clever keyword tricks and more about clarity. A buyer, crawler, or answer engine should quickly understand who this is for, why it works, what proof backs it, and what page deserves to be cited. I would run it small enough to learn quickly, then only scale the parts that real users repeat, save, reply to, or buy from. For this tactic, I would watch Zendesk surfaces the top 5 search strings that returned no results. before putting more time or budget behind it.

## Action plan

1. Define one narrow startup segment where top no-result queries become the docs repair queue can create a measurable lift.
2. Turn the tactic into one offer, page, campaign, or workflow for the Support and Analytics channel.
3. Use the evidence from support.zendesk.com to set the first version of the message, format, and audience.
4. Launch a small test for 7 to 14 days with one success metric: Zendesk surfaces the top 5 search strings that returned no results..
5. Review the result, keep the winning message, remove weak variants, and turn the learning into a repeatable growth playbook.

## Source-backed example

Zendesk's Search dashboard includes a 'Searches with no results (top 5)' report showing the most searched strings that returned no results.

## Adjacent tactics in the same lane

- [Search dashboard segmented by brand, locale, and role](/growth-ideas/search-dashboard-segmented-by-brand-locale-and-role/) - same source, 3 shared channels, 1 shared stage
- [Ticket-to-search ratio as self-serve failure signal](/growth-ideas/ticket-to-search-ratio-as-self-serve-failure-signal/) - same source, 2 shared channels
- [Promoted help articles for homepage first-click routing](/growth-ideas/promoted-help-articles-for-homepage-first-click-routing/) - 2 shared channels, 1 shared stage
- [Curated strategic resources inside help center articles](/growth-ideas/curated-strategic-resources-inside-help-center-articles/) - 2 shared channels, 1 shared stage

## Read GrowthDex essays

Browse the plain-English essay index at [GrowthDex Blog](/blog/).

## Related GrowthDex essays

- [The support report should write the next help page](/blog/the-support-report-should-write-the-next-help-page/) - support-led growth, SEO, documentation
- [The answer should interrupt the ticket before it opens](/blog/the-answer-should-interrupt-the-ticket-before-it-opens/) - support-led growth, technical SEO, brand trust

## Reading path: AI products

- [The support report should write the next help page](/blog/the-support-report-should-write-the-next-help-page/) (2026-06-07T07:09:50.000Z)
- [The answer should interrupt the ticket before it opens](/blog/the-answer-should-interrupt-the-ticket-before-it-opens/) (2026-05-29T17:40:00Z)

## Reading path: customer support software

- [The support report should write the next help page](/blog/the-support-report-should-write-the-next-help-page/) (2026-06-07T07:09:50.000Z)
- [The answer should interrupt the ticket before it opens](/blog/the-answer-should-interrupt-the-ticket-before-it-opens/) (2026-05-29T17:40:00Z)

## Advisory

If you want help turning this into a working growth system, Ian Goh offers advisory at https://iangoh.com/advisory.