Senior Product Designer, also serving the PM function in a team that doesn’t have a PM.
Figma, Pen & Paper, Smart Glasses (IoT), Confluence, Jira
Myself, Engineering Team, trades professionals and coordinators at Forge
Q1 - Q2 2024
From Architecture Digest to iconic tv scenes, we often see houses of historical charm and timeless styles. Indeed, revitalizing those historical buildings is a rapidly growing market in the US, with over 50% homes in New York and Massachusetts already more than 60 years old. As housing prices go up and new constructions become less affordable, renovation demands have been rising and the revenue of which has surpassed new constructions since 2022.
Among the many things that can be improved in old houses, windows are a popular subject of renovation. Weathering through decades of wear and deformation, the original windows in old homes are not only onerous to open and close, but also less energy efficient compared to new ones.
But unlike placing an Amazon order or walking into a dealership to pick your favorite car model, window replacements are site-specific, made-to-order and manually installed. Working with existing buildings means scoping the job and tailoring the approach for each project.
In Massachusetts, nearly 60% homes are single-family, which are built individually at different times, with different blueprints, and using different materials and techniques.
This non-conformity of various built environments presents many challenges to the trades professionals (“Pros”) as they must draw from decades of hands-on experience to analyze the existing structure (without taking the client’s house apart!) and determine how to order the new replacements.
How can digital technology improve the trades - an industry that’s largely manual and non-digitized? To answer this question, we studied the day-to-day activities of the Pros, how their time was allocated throughout the life cycle of a window job, and the common causes of job re-calls.
There are three major logistical and technical blockers that constraints window renovation jobs:
Base on the staffing and window measurement challenges, we brainstormed from different angles, and mocked up a few approaches to evaluate their practicality.
In an ideal world, if we only send the Senior-level Pros to measure windows, the measurements will be reliable, new windows will be made to the right size, and installations will complete in the first path.
In practice, with traveling taking up 60-70% of the Pro’s day, and the fact that Forge only employs 2 senior Pros, it’s impractical for the senior Pro to show up to each job site.
With 10x more junior Pros than senior Pros at Forge, if we allow senior Pros to remotely assist the onsite junior Pros without traveling themselves, we can leverage their expertise on a much greater scale.
AI has been increasingly used for extracting spatial data. Can we leverage machine learning to reduce human errors? We tested out both depth-based (3D) and image-based (2D) solutions available in the market. However, neither approach was able to provide the level of precision required for windows:
While Approach 1 and 2 didn’t work out, the learnings we gained during the process led us to an approach that will:
To enable the asynchronous record and review workflow between Junior Pros and Senior Pros, we mapped out the user stories of both junior pros & senior pros, and designed for their experiences respectively.
With navigating between 2~3 jobs sites a day, and 4~10 windows per job site, the amount of information to keep track of can easily overload.
After shadowing how Pros work in the field, we identified places where hardware and software interface can effectively help
For Senior Pros who work from the office desk, they need to review dozens of measurement recordings each day, and determine whether the submissions are usable or should be re-visited.
① Evaluate if the measuring device are correctly aligned, based on video footage
② Review Window Spec Completion for Each Job