Measure Article Helpfulness
Publishing an article is just the start. TixTalk gathers feedback and usage data so you can see what's working, spot the gaps, and continuously improve your self-service content.
Collect helpful votes
Every published article can gather direct feedback from the people reading it.
At the end of an article, readers are asked whether it was helpful.
A helpful vote is recorded as an upvote; a not-helpful vote is recorded as a downvote.
Votes are tallied per article, giving you a running count of positive and negative feedback.
Feedback is open to anyone reading the article, so you capture signal from customers, not just logged-in users.
Track views and popularity
Beyond votes, TixTalk counts how often each article is read.
Every time an article is opened, its view count goes up by one.
View counts power the ordering in browsing and search, so your most-read articles surface first automatically.
Compare views against helpful votes: a high-traffic article with weak feedback is a prime candidate for a rewrite.
Review knowledge base stats
The stats overview gives you a bird's-eye view of your whole knowledge base.
Open the knowledge base statistics view to see totals at a glance.
Check how many categories you have and how many are published.
See your article counts — total, published, and featured — so you know how much of your content is live.
Review total views across all articles to gauge overall engagement.
Scan the top articles list to see your most-viewed content and confirm your best material is easy to reach.
Act on what you learn
Data only helps if you use it.
Rewrite articles with many not-helpful votes, and clarify anything that confuses readers.
Promote strong, high-traffic articles by marking them featured.
Fill obvious gaps by writing new articles for topics customers search for but can't yet find.
Reviewing these signals on a regular cadence keeps your help center accurate, trusted, and genuinely useful.
