
Interactive Decision Tree for Smarter Customer Support
Deliver faster solutions using step-by-step interactive guides that leads customers or employees to the right answers and reduce support tickets.
Trusted by global brands
For Troubleshooting & Support
Having a problem? Let’s fix it together
- Break down complex technical queries into simple, guided steps that help users self-diagnose issues.
- Whether it’s a product not working, or a login issue, users are guided to the right resolution, fast.
- Drive faster resolution through intelligent flows that adapt to each user’s input & anticipate next steps.
- Use videos, images, and links to make content clearer, and keep it well-organized for easy access.
For Documentation Teams
Build and customize interactive experiences
- Build workflows from a blank canvas or pick from ready-made templates.
- Drag and drop to create, edit, and connect steps in your flow. No code required.
- Adapt interactive guides for onboarding, tutorials, or support.
For Product or Service Help
Find the right product for you
- Use interactive guides to build intuitive flows that guide users toward the right product or plan.
- Deliver personalized recommendations with branching logic that considers individual needs.
- Optimize each step with SEO (Meta title, slug, and description) for maximum visibility.
Design the perfect guide for every need
The world’s top companies
trust Document360
Real rating, from real users
Supercharge internal guides to resolve issues faster
Drive to demo❓Frequently Asked Questions
What is the Interactive Decision Tree in Document360?
The Interactive Decision Tree lets you create branching, guided flows for readers. Users answer contextual questions and are directed down a path relevant to their situation, rather than reading through a long article.
Do I need technical skills to build a decision tree in Document360?
No. Decision Trees are built using a no-code visual editor in the portal. You can create nodes, define question-and-answer branches, and publish the tree without any coding knowledge.
How are Decision Trees surfaced in search on the knowledge base site?
Decision Trees appear in knowledge base search results ranked alongside articles based on relevance. When a Decision Tree closely matches a search query, it surfaces with the same priority as an article. Search ranking is based on relevance across titles, tags, slugs, breadcrumbs, and descriptions.
Can a Decision Tree be embedded within an existing article?
Yes. Decision Trees can be published as standalone pages or embedded within existing articles in the knowledge base.