In today’s fast-paced digital world, providing accurate and up-to-date information to your customers is more critical than ever. Keeping your knowledge base content accurate, relevant, and efficient can be daunting, especially when dealing with a large library of information. Fortunately, Document360’s AI-powered Article Health-Check Metrics can provide a solution to keep your content healthy.
What are Health Check Metrics?
Article Health-Check Metrics is a new AI-powered feature that provides real-time metrics to monitor the health of your knowledge base articles. The tool analyses your content’s quality, accuracy, and relevance to generate a health score for each article.
Document360’s Article Health-Check Metrics provides actionable insights to improve your article’s quality. For instance, you’ll receive suggestions for enhancing readability, avoiding repetition, and structuring your content better. By utilizing these recommendations, you can easily improve your knowledge base articles without extensive analysis.
There are four main aspects of the health check metrics:
- Meta title: The meta title of your article should be clear, concise, and informative. Include keywords, and it should not be more than 60 characters long.
- Meta description: Meta description appears beneath your title in search engine results pages (SERPs). You must provide a relevant summary of what a particular article is about, and it should not be more than 160 characters long.
- Word count: Although there is no ideal word count, articles with at least 300 words tend to perform well in SERPs.
- Readability: Readability is the ease with which a reader can understand your article. Several factors contribute to this, including sentence length, paragraph length, and the use of subheadings, etc.
Key Benefits of Article Health-Check Metrics
Streamlined Knowledge Base Maintenance – One of the primary advantages of Article Health-Check Metrics is the ability to streamline knowledge base maintenance. The AI-powered tool can analyze all your content and identify any issues that require attention. With this, you can efficiently prioritize and address the most critical issues, such as broken links, or incomplete content.
Improved User Experience – User experience is essential in today’s world, and Document360’s Article Health-Check Metrics makes it easy to maintain a high-quality knowledge base. The tool identifies potential issues that could impact the user experience, such as readability or confusing language. These insights can help improve the user experience.
Time-Saving – Article Health-Check Metrics saves time by automating the process of analyzing and monitoring the health of your content. Instead of manually reviewing each article, the AI-powered tool does it for you. You can focus on other important tasks, such as creating new content or engaging with customers.
Increased Efficiency – By leveraging the insights provided by Article Health-Check Metrics, you can make data-driven decisions to improve your knowledge base’s overall efficiency. For example, if users frequently abandon articles after a certain point, you can use this data to improve the article’s structure and layout to keep readers engaged.
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How to use Health Check Metrics in Document360?
To utilize Health Check Metrics in Document360,
- Navigate to the article or page category you want to analyze.
- Within the article settings, you will find the Health Check Metrics option.
- Clicking on “check now” will display the article’s health status.
Health Check Metrics in Document360 includes two metrics: SEO Metrics and Readability Metrics.
The system assesses three criteria to evaluate the content quality: Problems, Suggestions, and Good Work. These criteria are used to generate recommendations for improving SEO and readability metrics.
The primary goal of utilizing SEO metrics is to enhance an article or website’s visibility on search engine result pages. Users can improve their website’s search engine rankings by using SEO metrics and attract more organic traffic.
Within Document360’s Health Check Metrics, the SEO Metrics section will analyze the content and provides insights into the following elements: meta title length, meta description length, internal links, external links, and featured images. The AI model evaluates the content based on different criteria and provides recommendations for improving the content to meet the SEO standards. This helps users to update their content and make it more search-engine friendly.
Our AI model uses can analyze your content and provide actionable insights to improve its readability. These insights are based on several criteria, including the readability score, sentence length, sub-heading distribution, and paragraph length. By leveraging these metrics, our tool empowers users to update their content wherever necessary, ensuring that it is easier to comprehend and engaging for their audience.
The readability score is a crucial metric that measures the ease with which a reader can understand the content. Our tool calculates how easy to read and understand the article content. It will indicate a score out of 100. This score helps users understand how difficult their content may be for readers to comprehend and guides them in making the necessary improvements to simplify it.
Sentence length and paragraph length are also essential readability metrics. Our AI model analyses the average length of sentences and paragraphs, providing users insights into making their content more engaging. By breaking up long paragraphs and sentences, users can create a better flow of information, which can help readers better understand the content.
Subheading distribution is another vital readability metric that our AI model analyses. Our tool identifies the optimal number of subheadings that should be used in the content and their placement. Subheadings make it easier for readers to scan the content and locate the necessary information. By optimizing the subheading distribution, users can make their content more reader-friendly and accessible.
In summary, our AI model’s readability metrics provide users with a comprehensive set of insights to improve the readability of their content. By analyzing critical criteria such as the readability score, sentence length, sub-heading distribution, and paragraph length, users can quickly identify areas that require attention and optimize their content to improve accessibility and engagement.
Also Read: Tips to keep a healthy knowledge base
In conclusion, Document360’s AI-powered Article Health-Check Metrics feature is a game-changer for content creators who wants to improve their content readability and engagement. By leveraging the latest artificial intelligence, this feature analyses critical criteria such as the readability score, sentence length, sub-heading distribution, and paragraph length to provide users with comprehensive insights to optimize their content. The users can quickly identify areas that require attention and make the necessary improvements to create more accessible and engaging content for their audience. Whether you are a seasoned content creator or just starting, you should use the article health-check metrics feature to enhance the content creation process and ensure that your knowledge base stays up to date.
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