T.X.L

Hart Howerton Design Technology Research

A design technology intern research project that mapped early-stage planning and landscape workflows, identified cross-team pain points, and developed practical toolkits and prototypes to improve site modeling, terrain workflows, and design decision-making.

Skills & Tools
  • Research
  • GIS ModelBuilder
  • GIS-to-BIM
  • Automated Workflow
  • Presentation
  • User Research
  • Decision Support - Airtable
  • ArcGIS
  • LandsDesign
  • Rhino.inside.Revit
Tags
Research · Workflow · Design Technology · Internal Product Thinking
Team size
1
PresentationOpen PDF

Project Description

During my Design Technology internship at Hart Howerton, I conducted a workflow research project focused on improving early-stage planning and landscape design processes. Through interviews with architects, planners, and landscape architects across multiple offices, I mapped current workflows, identified recurring pain points, and translated them into three research directions: site data acquisition, design tool interoperability, and cross-team knowledge sharing.

The project combined research, systems thinking, and hands-on prototyping. I created comparative guidelines for acquiring site context and terrain models, tested workflows across Rhino, Revit, ArcGIS, Grasshopper, Dynamo, Lands Design, Forma, and other tools, and developed prototypes such as Rhino-to-Revit interoperability scripts, an ArcGIS reverse viewshed automation workflow, and a Dynamo-based terrain conversion workflow. I also built a firmwide Airtable toolkit to organize tutorials, resources, and workflow references into a shared knowledge system.

Rather than treating design technology only as a technical support role, this project explored how better workflows can shape collaboration, decision-making, and design culture. The final outcome was a set of practical tools and research-based recommendations that helped teams evaluate which workflow to use based on project needs, accuracy, speed, and software environment. The project also pointed toward future opportunities for AI-searchable workflow tools and more accessible design technology systems.