From Blank Slate to Smart Canvas: Designing AI‑first Architecture Workflow

Company

Role

Team

Timeline

Dwellci AI

Product Designer

Founder & CEO (Daniel)

Jul 2024-Oct 2024

How might AI help architects explore concepts?

USER STUDIES

Due to time & resource constraint, I studied user stories by interviewing the founder and conducting desktop research with Chat-GPT and online.

AI opportunities

I mapped out current user steps and what our system can solve for users, paving for the AI streamlined user flows.

AI streamlined development flow

Based on the research and discussion with the founder, I laid out the grounding key flows of the MVP.

Design goal

Design a AI-streamlined development experience that helps architects freely explore concepts and use with intuition and trust.

Criteria

Trustworthy

of generations and erros

Intuitive

to engage with AI

Efficient

AI assisted workflows

Key metrics

  • Average setup time (Target: ↓ 45%)

  • Task‑completion errors (< 5% error)

  • Tool switches per task (≤ 2 per task)

  • Number of “what‑if” iterations/session (↑ 3×)

Shipped prototype (highlight)

USER REVIEWS

“This is going to be so helpful in exploring concepts and saving time!”
— Daniel, 12+ YOE Senior Architect

“The AI chat feels very smooth and engaging. Looking forward to it.”
— Gina, Junior Architect

Guide architects through complex setup

COMPETITIVE ANALYSIS

I analyzed patterns of guided setup in architecture softwares and complex workflows such as Google Delve, and drawing several insights.

First version of setup

Adding a navigation panel to help indicate status

Giving architects more exploration options

Help architects trust and recover error with AI

Metrics measured against goals