Readers tell you what is missing every time they type into your search bar and get nothing back. DeveloperHub logs all of it: top queries, click-through, dead ends, page helpfulness and link health, in one dashboard you can act on this afternoon.
Search analytics, reader feedback, link health and an activity log. See what each plan includes →
Every query is logged the moment it is typed, with the click-through rate that follows it. A query with a lot of volume and no clicks is a page that exists but does not answer the question, which is a different problem from a page that does not exist.
The no-hit report lists every query that returned nothing, ranked by how many people hit the same wall. It is the shortest to-do list in your documentation backlog, and the agent will draft the missing page from it. OPSWAT ran this loop and cut support ticket volume by 15%.
Twenty-three people looked for the same thing and left empty-handed. Write that page first.
Results came back and nobody opened one. The wording is wrong, or the page is.
One click turns a gap into a draft, written against your repo and the rest of your docs.
A page read four thousand times with a 61% helpfulness score is the most expensive page you own. Ratings and written reader messages land in the same dashboard as the search data, so the highest-impact edit is obvious rather than argued about.
Broken links, orphaned pages, prose nobody can parse and an edit history nobody can reconstruct. Four reports, all running whether or not you remember to look.
A prioritised report of broken links, URLs that now redirect, and pages nothing links to. Each one comes with a suggested fix you apply in a click.
Every edit, publish, version bump and permission change, attributed and timestamped. Filter by action type or by author. Useful for compliance reviews, onboarding, and the morning after an incident.
Scored per page, so the guide that quietly turned into a specification gets flagged before a reader gives up on it.
Paste a GA4 tracking ID and page views, sessions, bounce rate and time on page come back from Google, alongside the native search analytics. No code changes, no tag manager project.
Queries, feedback and page metrics, out to your own BI tools.
One GA4 tracking ID and full session data comes back.
Any custom range. Set it to the days after a rewrite and see where the numbers landed.
Which version readers are on, and which one they have abandoned.
Grade level, reading time and Flesch score per page.
An instant ping on every new reader message, and a bi-weekly email digest of the links that broke.
The teams who get the most out of this treat it as a fortnightly ritual: open the no-hit report, open the feedback list, fix the top three, ship. Then look again in two weeks.
“The feedback loop works great, we have biweekly meetings to enhance the documentation according to search analytics and user feedback. It is no longer just about writing documentation; it is about writing, analysing, gathering feedback and iterating to provide the best experience possible.”
Import your docs, wait a week, and read the no-hit report. Fourteen days free, no card, no sales call unless you want one.
