Assembli AI

Create construction estimates in minutes.

Assembli AI

Create construction estimates in minutes.

Assembli AI

Create construction estimates in minutes.

Project Overview

Construction estimation is notoriously slow, error-prone, and frustrating—especially for small and mid-sized builders trying to win bids without burning hours.

Assembli set out to change that.

By combining AI with real-time data, Assembli helps contractors generate accurate cost and time estimates in minutes—not days—so they can send better proposals, faster.

But first, we had to prove it worked.

Role

Role

Product Design Consultant

Product Design Consultant

Tools

Tools

Figma, Notion, ChatGPT

Figma, Notion, ChatGPT

Year

Year

2025

2025

The Challenge

The Challenge

Build a Vision, Not Just a Tool

We weren’t just designing a product. We were designing belief.

The goal of the MVP was clear:

  • Spark investor confidence

  • Attract early adopters

  • Create a scalable design foundation for future features

We had limited time, tight resources, and high expectations—so we focused on clarity, speed, and outcomes.

Discovery & Research

Discovery & Research

Lean UX Execution: Design that Moves

With speed as our constraint, I adopted a lean UX strategy:

  • Designed fast, tested fast, learned fast

  • Used ChatGPT to accelerate UX writing and ideation

  • Prioritized functionality over polish to validate concepts quickly

We kept collaboration tight between design, product, and engineering to avoid bottlenecks and stay laser-focused on delivering a usable, testable MVP.

Userflows

User flows gave me a clear view of the full experience, helping spot gaps early.

Userflows

User flows gave me a clear view of the full experience, helping spot gaps early.

Wireframing

Wireframes clarified design decisions and ensured technical alignment with devs.

Onboarding

Onboarding

User Onboarding – Simple, Step-by-Step Start

We introduced a lightweight, guided onboarding experience to reduce friction and ramp users up quickly.

Proposal Creation Feature

Proposal Creation Feature

Creating a Proposal – Fast, Focused, Frictionless

Estimating is the heart of the platform, but syncing UI with backend processes posed a challenge.

So we broke down job creation into digestible, sequential steps. This:

  • Improved perceived speed

  • Reduced form fatigue

  • Prevented system timeouts and user drop-off

Job Management

Job Management

Job Management – Streamlined, Not Stressed

Builders needed to manage multiple jobs without context-switch chaos.

We designed a clean, intuitive interface to:

  • Simplify navigation

  • Reduce cognitive load

  • Accelerate task completion

Design System

Design System

Design System – Built for Scale

To avoid reinventing the wheel with each new screen, I built a modular design system from the start:

  • Standardized components

  • Faster handoff

  • Consistent UX across the app

  • Ready for scale as the product evolved

Results

Results

Results

Validated by Speed, Trusted by Builders

The MVP not only accelerated proposal creation and increased estimate accuracy, but also gave early adopters a tool they could trust—proving the product’s value, supporting investor conversations, and setting a foundation for future growth in a traditionally slow-moving industry.

+75%

Faster bid turnarounds

-52%

Reduced in overbudget projects

+88%

Through real-time data and cost updates

Through real-time data and cost update

Investor Signal

MVP demonstrated clear market need

Learnings

Learnings

Learnings

Assembli – What I Learned

Speed and clarity are key when designing MVPs—especially for early-stage founders seeking traction.

A lean process doesn’t mean sacrificing quality—it means focusing on what actually drives value.

Designing around backend constraints taught me how to balance UX expectations with technical realities.

Strategic UX can directly influence investor confidence and product-market fit.

Next Case Study

Next Case Study

Next Case Study

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