Amy Melissa Bennett

Treehouse Architect

Transforms environmental and client inputs into a guided decision system that generates a shareable PDF estimate for on-site treehouse planning.

My Role in the System

I defined the system structure and interaction model for translating real-world site conditions into a guided planning workflow.

The system organizes environmental variables, build constraints, and client preferences into a sequence of decisions that shape early project direction and generate a structured project estimate.

System Overview

Treehouse Architect structures on-site consultations as a decision-driven system. Builders input real-world conditions such as tree density, required clearing, utilities, and desired features, while the system translates these inputs into organized planning outcomes.

Rather than relying on ad hoc discussion, the system maintains continuity by guiding both builder and client through a shared decision process.

Approach

The system is designed around progressive decision-making, where each input refines available outcomes. Environmental conditions, structural constraints, and feature selections are integrated into a step-by-step workflow that reduces ambiguity during early planning.

Interaction is structured to support real-time use in the field, balancing clarity, speed, and adaptability, and ultimately generating a structured estimate that can be shared with the client.

Project Goals

Establish a clear, decision-driven system for early-stage treehouse planning by organizing complex site and build variables into a guided consultation workflow and generating a structured, shareable estimate to support client alignment.

Project Highlights

• Structured environmental and client inputs into a decision-based planning system

• Defined a guided workflow for translating site conditions into build direction

• Generated organized outputs to support early-stage estimates

• Produces a structured PDF estimate for client communication

Process

Defines how the decision system is structured, translated into workflow, and resolved into a shareable output.