Practice knowledge base metrics vocabulary: helpfulness ratings, time on article, self-service questions, deflection rate, article views, and most-viewed articles.
0 / 10 completed
1 / 10
At the bottom of each article is a prompt: 'Was this article ___?' This metric measures user satisfaction.
Article helpfulness rating is collected through a simple feedback prompt ('Was this article helpful?'). It provides direct user-sentiment data about which articles are solving problems and which need improvement.
2 / 10
Analytics show low ___ on article for the password reset guide — users leave in under 10 seconds.
Time on article is the duration a user spends on the page. Very low time (a few seconds) suggests the user quickly decided the article was not relevant. Very high time may mean the article is unclear. Context matters — a quick answer is fine if it resolved the issue.
3 / 10
The KB platform asks after each article: 'Did this ___ your question?' This drives self-service metrics.
'Did this answer your question?' is a post-read survey that captures intent resolution. When users say no, they may submit a follow-up query or open a support ticket, providing data on which articles leave users unsatisfied.
4 / 10
The support team tracks ___ rate to measure how often the KB prevents users from opening a support ticket.
Deflection rate measures how many support tickets were avoided because users found their answer in the KB. A high deflection rate means the KB is reducing support costs. It is calculated by tracking whether a user who visited the KB subsequently opened a ticket.
5 / 10
The monthly report shows article ___ per month for the top 10 articles. What does this metric count?
Article views per month counts how many times each article page was accessed. High-view articles are critical — they need to be accurate, current, and well-written. Tracking views over time also shows whether newly published articles are gaining adoption.
6 / 10
Sarah from the QA team commented on a code review: 'I'm seeing a really high bounce rate on this troubleshooting article about connecting to the database. It's under 5 seconds – that suggests users aren't finding what they need.' Which metric is Sarah primarily referencing when describing this situation?
Bounce rate measures the percentage of visitors who enter a page and then leave without taking any action (like clicking on another page or submitting a form). A high bounce rate indicates users aren't finding what they were looking for quickly, often suggesting issues with the content or navigation. Page views simply count how many times a page is accessed; time to resolution focuses on support ticket outcomes, and unique visitors counts individual users.
7 / 10
You're drafting the description for a pull request introducing an updated knowledge base article about deploying microservices. The PR title is 'Improved Microservice Deployment Guide'. What key metric would you highlight to justify this change in the PR description?
While all options are relevant to knowledge base management, focusing on user satisfaction is the most direct indicator of whether the changes have improved the user experience. Highlighting a positive shift in user satisfaction (e.g., a decrease in support tickets related to this topic) demonstrates the value of the updated article and justifies the PR's purpose. The other options are less directly tied to the impact of the content itself.
8 / 10
The API response for a knowledge base search query returns this JSON: {
"metric": "article_views",
"value": 12345,
"time_period": "last_7_days"
}. Which of the following best describes what 'article_views' represents in this context?
This response indicates that 'article_views' measures the popularity or usage of specific knowledge base articles. The 'time_period' parameter specifies the timeframe over which this metric is calculated—in this case, the last seven days. It doesn't represent user login activity, time spent on pages, or support ticket volume.
9 / 10
During a daily standup meeting, your team lead asks: 'How are we tracking the effectiveness of our new KB article about debugging common Python errors?' You respond with: 'We're monitoring the number of support tickets related to that error – a decrease would indicate improved self-service.' Which underlying metric is being implicitly referenced?
The core of the statement highlights the support ticket deflection rate. This measures how effectively the knowledge base is preventing users from needing to contact support for assistance. A lower number of tickets indicates greater self-service success—the ultimate goal of a well-designed KB. Article readership, creation frequency and time spent on pages are less directly linked to the effectiveness of resolving user queries.
10 / 10
The monthly report for the 'Troubleshooting Network Connectivity' KB article shows a value of '342'. What does this metric most likely represent?
342 likely represents the number of times the 'Troubleshooting Network Connectivity' article was accessed or viewed. This is a common metric used to gauge popularity and potential value—the more views, the more users are finding it helpful. The other options relate to different aspects of KB performance (support ticket outcomes, costs, or resolution times).
What will I practise in "Knowledge Base Metrics Vocabulary"?
Practice knowledge base metrics vocabulary: helpfulness ratings, time on article, self-service questions, deflection rate, article views, and most-viewed articles.
How many exercises are in this module?
This module has 10 multiple-choice exercises, each with instant feedback and a full explanation of the correct answer.
Is this exercise free to use?
Yes. Every exercise on CoderSlingo, including this one, is free to use with no account, sign-up, or paywall.
Do I need to create an account to do these exercises?
No account is required. Just click an option to answer — your score for this session is tracked automatically in the progress bar above.
What happens if I choose the wrong answer?
You'll immediately see which answer was correct, plus a full explanation covering the vocabulary and reasoning behind it — mistakes are where most of the learning happens.
Can I retry the exercises if I want a higher score?
Yes — use the "Try again" button on the results screen to reset and go through all the questions again.
Is my progress saved if I close the page?
No. Progress is tracked only for your current visit; reloading or leaving the page resets the counter. This keeps the exercise simple and account-free.
Where can I find more Knowledge Base Writing exercises?
Browse the full Knowledge Base Writing hub for related drills, or check the "Next up" link below to continue with a connected topic.
How is this different from reading an article on the same topic?
Articles explain vocabulary and concepts in prose; this exercise tests and reinforces that vocabulary through active recall with immediate feedback — the two work best together.
Who writes these exercises?
Every exercise is written by the CoderSlingo team, drawing on real workplace English used in IT roles, then reviewed for accuracy and clarity.