Turn support questions into structured knowledge base requests
Support, product, and success teams see gaps in documentation every day. This intake form turns those observations into clear content requests.
What is a knowledge base content request form?
A knowledge base content request form collects details about missing docs, tutorials, or FAQs so content owners can decide what to write next.
Pain points
- Docs requests scattered across tickets and internal channels
- No unified view of which topics are most urgent
- Content teams guessing what will actually reduce inbound volume
How Intakly helps
- Centralize documentation requests in a single queue
- Use AI to group similar requests and surface recurring themes
- Give writers clear context about audience and intended outcome
Who this is for
- Support Teams
- Documentation Owners
- Customer Success
FAQ
- Can requesters include real ticket examples? Yes. You can invite them to paste anonymized excerpts so writers see how customers phrase their questions.
- Does this integrate with our help center? You can link finished articles back to the original intake, closing the loop between request and content.
- Can AI suggest article outlines? AI can propose structure and key sections based on the patterns it sees across similar requests.
Details
What this use case is
This use case is for teams that want their knowledge base to reflect real customer questions, not just what they think should be documented. Instead of ad hoc pings, you use a content request form to gather context.
How AI Intake Forms helps
AI reads each request and identifies the core topic, affected feature, and audience. It then groups requests by theme so writers can see which articles would unlock the most value.
Key benefits
- A clearer roadmap for knowledge base improvements
- Less repeated work answering the same questions in tickets
- More targeted documentation that matches customer language
Example workflow
- Share the content request form with support, success, and product teams.
- They submit missing topics along with examples and target audiences.
- AI groups similar requests and surfaces high-impact themes.
- Writers pick from a prioritized list and link completed articles back.
- Over time, you see which documentation reduced repetitive questions.
Call to action
Run your knowledge base like a living product. Use AI-powered content requests to align documentation work with what customers and internal teams actually need.