Low Volume Assistive Technology Commercial Viability Tool

Abstract
This repository contains a comprehensive toolkit developed to support early-stage decision-making for low volume assistive technology (AT) developers. The materials are centered around the Low Volume Assistive Technology Commercial Viability Tool, a data-driven decision-support system designed to help developers evaluate and improve the commercial viability of functional AT prototypes. The tool integrates key design, market, and commercialization considerations into a structured framework that enables developers to assess the current state of their product and identify opportunities for improvement. Rather than requiring extensive business or market expertise, the tool is intended to guide developers through a practical, evidence-based process for collecting relevant information, interpreting results, and making informed design decisions early in development. The Commercial Viability Tool is implemented as a custom GPT within ChatGPT, allowing users to upload structured inputs and receive tailored feedback based on their specific product and development context. The outputs generated by the tool are directly influenced by the completeness and quality of the input data, particularly stakeholder engagement artifacts such as survey responses and focus group feedback. As a result, this repository includes multiple example outputs to illustrate how different forms of stakeholder input can affect the depth and specificity of the recommendations provided. Collectively, the materials in this repository are intended to reduce uncertainty, improve resource allocation, and support more effective decision-making during early-stage AT development. By providing both the computational framework and practical guidance for its use, this toolkit enables developers to more systematically evaluate their concepts and increase the likelihood of achieving sustained commercial viability.
Sponsor
Date
2026-04
Extent
Resource Type
Dataset
Resource Subtype
Rights Statement
Unless otherwise noted, all materials are protected under U.S. Copyright Law and all rights are reserved