Content Gaps

Identify significant gaps in content by analyzing it with our machine learning engine, pinpointing areas for improvement.

The Content Gaps section lists ALL questions users have searched for that does not have available and related information on the website. Content gaps appear when the model is unsure of the answer-to-question relevancy, and they may therefore not have direct answers.

How are Knowledge Gaps determined:

In the background, the model calculates the average similarity between the cluster of questions and all the sections. The clusters resulting with the lowest similarity represent potentially missing information in the index, Content gap clusters can also appear as a result of available but dissimilar information.

Knowledge Gaps List

Gap Clusters

Knowledge Gaps are questions grouped together in clusters of the same topics determined according to model sureness, which means that the more unsure the model is about the relevance of the answers to a user question, the higher a cluster is placed on the list. It takes at least 200 questions over time to generate knowledge gaps clusters. The list is updated on a weekly basis.

Resolve with Instant Answer

Create an Instant Answer to resolve a gap with no available information on the platform.

Manage existing Instant Answers in Indexes > Instant Answer

Resolve Gaps with Instant Answers

Resolve with Existing Answer

Link a gap to existing answers from scraped pages, instant answers, etc.

Resolve Gaps with Existing Answers