Interactive Decision Tree — Build, Embed & Share
An interactive decision tree guides users to a specific outcome by asking one question at a time. Each answer routes them to the next relevant question — skipping everything that doesn't apply — until the correct result is reached.
Unlike a static flowchart, an interactive decision tree responds to input. Users don't trace paths on a diagram; they click through a wizard.
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Try a Live Example
Click through the IT troubleshooting decision tree below. Notice how each answer narrows your path — you only see questions that are relevant to your situation.
→ Browse more interactive examples in the directory
What Makes a Decision Tree Interactive
A static flowchart shows all paths simultaneously. The viewer reads the diagram and traces their own route. This works for simple processes — but for anything complex, it creates cognitive load and increases error rates.
An interactive decision tree:
- Asks one question at a time — no scanning, no tracing
- Routes automatically — the user selects an answer; the system moves them forward
- Hides irrelevant branches — users only see questions that apply to them
- Produces a specific outcome — not "here's the whole tree, find your answer," but "here is your result"
- Can be embedded anywhere — web pages, wikis, portals, Notion, Confluence
The Three Views
DrawDecisionTree generates three interactive views from a single source:
Wizard View
Step-by-step guided walkthrough. One question at a time. Recommended for end-user-facing tools: troubleshooting guides, product selectors, eligibility checks.
Path View
Shows all possible paths simultaneously, with elimination logic highlighted as the user answers. Useful for reviewing the tree's logic and identifying edge cases.
Tree Diagram View
Full tree structure rendered as a diagram, with the active branch highlighted in real time. Useful for overview documentation and presentations.
All three views update automatically when the source DSL changes.
Common Use Cases
Customer-facing support wizards
A troubleshooting wizard guides customers through diagnostic steps without involving a support agent. The user answers questions and receives a resolution — reducing ticket volume and contact rates.
HR onboarding flows
New employees run an onboarding wizard that determines their access level, equipment, training schedule, and first-week agenda based on their department and role. The outcome is specific to them — no need to read a 20-page onboarding doc.
Product recommendation engines
A "help me choose" wizard on a product page guides visitors through questions about their needs and recommends the right plan. Conversion rates are higher than feature matrix comparisons because the recommendation feels tailored.
Incident and risk classification
On-call engineers run a severity classification wizard when an incident occurs. The wizard asks structured questions and outputs a severity level, response protocol, and escalation path — removing ambiguity and ensuring consistent classification.
Compliance and eligibility checks
A GDPR classification wizard routes data through handling requirements. An expense approval wizard routes requests to the correct approver. An NDA type wizard selects mutual vs unilateral. These tools remove the need for employees to interpret policy documents themselves.
Building an Interactive Decision Tree in 5 Minutes
DrawDecisionTree uses a plain-text DSL format. Describe your questions and answers in text — no drawing required.
name: Product Recommendation
version: 1
Q1: What is your primary use case?
A: Support and troubleshooting [Q2]
B: Product selection [Q3]
C: Internal process automation [Q4]
Q2: How many agents are on your team?
A: 1–5 [Outcome1]
B: 6–20 [Outcome2]
C: More than 20 [Outcome3]
Outcome1:
name: Starter Plan
description: Perfect for small teams. Unlimited trees, basic embedding.
Outcome2:
name: Team Plan
description: Collaboration features, private trees, priority support.
Outcome3:
name: Enterprise
description: SSO, audit logs, custom embedding, dedicated support.
Paste this into the editor and a fully interactive wizard appears immediately — wizard view, path view, and tree diagram all generated from the same text.
→ Read the step-by-step build guide
Embedding an Interactive Decision Tree
Once your tree is published, generate an embed code:
- Click Share & Embed in the editor
- Copy the Iframe Code
- Paste it into any web page, Notion, Confluence, or documentation portal
The embedded wizard is fully interactive — users can run it directly on your page.
<iframe
src="https://www.drawdecisiontree.com/embed/wizard/yourname/your-tree"
width="100%"
height="500"
frameborder="0"
></iframe>
Platform-specific embed guides:
Interactive Decision Trees vs Other Tools
| Tool | Interactive? | Embeddable? | Plain-text source? | Three views? |
|---|---|---|---|---|
| DrawDecisionTree | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes |
| Lucidchart | ❌ Static diagram | ❌ Image only | ❌ No | ❌ No |
| Draw.io | ❌ Static diagram | ❌ Image only | ❌ No | ❌ No |
| Typeform | ✅ (forms, not trees) | ✅ | ❌ No | ❌ No |
| Mermaid | ❌ Static diagram | ❌ Render only | ✅ Yes | ❌ No |
For interactive, embeddable decision logic that teams can build and maintain without a designer, DrawDecisionTree is purpose-built.
Get Started
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→ Browse interactive examples in the public directory