find-my-docs-gaps

To identify missing help center documentation, you can analyze repeat customer-question clusters against existing published articles to filter unmatched patterns and surface gaps. This process compares recurring support tickets with current content to find uncovered topics.

Prioritize help center articles by ranking documentation gaps according to ticket occurrence volume, customer value from CRM plan tiers, and freshness. This weighted ranking highlights high-impact topics to draft next.

Ranking documentation gaps through ticket clustering involves grouping repeat customer questions, comparing them to existing articles, and scoring unmatched clusters by occurrence volume and weighted customer value. This yields a prioritized list of missing content.

Yes, CRM enrichment data can be used to prioritize support content gaps by applying weighted customer value to ticket clusters. Incorporating plan tiers or revenue helps rank documentation gaps by business impact.

After finding top help center gaps, you can draft fixes by chaining the ranked gap outputs into article generation. The system provides the top three gaps with underlying source tickets to inform the drafted content.

You need to provide your help center platform and optionally connect CRM plan tiers. The system reads patterns.json and existing articles to filter unmatched clusters and report documentation gaps.