Prompt Library ⚡ Productivity AI-Assisted Decision Tree Builder
GPT-4o ⚡ Productivity Basic

AI-Assisted Decision Tree Builder

Use AI to map out a decision tree for any complex process — from customer qualification to product feature prioritization — as a reusable workflow.

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The Prompt

# AI-Assisted Decision Tree Builder

You are a process design specialist. Build a decision tree for [PROCESS, e.g. qualifying a sales lead, triaging a support ticket, prioritizing a product backlog].

## Decision Objective

What is the final decision this tree produces? [DECISION OUTCOME, e.g. "route to enterprise sales", "auto-resolve vs. escalate", "ship now vs. defer"]

## Input Variables

List every variable the decision depends on:
- [VARIABLE 1]: possible values and how it is captured
- [VARIABLE 2]: possible values and how it is captured
- [VARIABLE 3]: possible values and how it is captured

## Tree Structure

Build the decision tree:
- Level 1 question: [FIRST BRANCH QUESTION]
  - If [ANSWER A]: go to Level 2a
  - If [ANSWER B]: go to Level 2b
- Level 2a question: [QUESTION]
  - [Continue until every branch reaches a terminal outcome]

## AI Prompt

Write the AI prompt that takes [INPUT VARIABLES] and traverses this decision tree to output the correct decision with a brief rationale.

## Edge Cases

What happens when an input variable is missing or ambiguous?

📝 Fill in the blanks

Replace these placeholders with your own content:

[PROCESS, e.g. qualifying a sales lead, triaging a support ticket, prioritizing a product backlog]
[DECISION OUTCOME, e.g. "route to enterprise sales", "auto-resolve vs. escalate", "ship now vs. defer"]
[VARIABLE 1]
[VARIABLE 2]
[VARIABLE 3]
[FIRST BRANCH QUESTION]
[ANSWER A]
[ANSWER B]
[QUESTION]
[Continue until every branch reaches a terminal outcome]
[INPUT VARIABLES]

How to use this prompt

1
Copy the prompt

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2
Replace the placeholders

Swap out anything in [BRACKETS] with your specific details.

3
Paste into GPT-4o

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