Level Homes

Construction Management Analytics

Tracking Warranty Services

Quality control is a top priority for Level Homes, and part of meeting that priority is servicing warranty requests. As the company grew, warranty service became too large to handle on a case-by-case basis, and Level Homes needed a way to quickly find answers to questions about certain developments, houses, or issue types. The team had tried to solve this issue using a dashboard developed in Excel, but this solution allowed too much room for user error.

Vinformatix developed a dynamic Quality Control dashboard that allowed the Level Homes team to quickly drill down on areas of concern, such as a list of home models or certain developments. This solution was also made accessible via a password-protected web app, so that the dashboard could be viewed from anywhere with an internet connection.

In one view, the team was now able to see potential bottlenecks, and how warranty costs have changed over time, and more. Because the dashboard is driven by data produced in Level Homes’ existing software systems, the team can be confident that the data is being reported consistently and accurately.

Tracking Scheduled Tasks

For the Level Homes team, keeping projects on schedule is a main driver for the profitability of a project. However, with so many projects going on at once, it gets difficult to keep track of which tasks are falling behind, where they’re falling behind, and what the bottlenecks are. The company’s existing software included scheduling tools, but was missing key information required to make informed decisions about keeping projects on track.

Vinformatix developed an analytics tool called the “Slips Matrix”, an analytics web application that visualizes scheduling slips, development codes, projects, and tasks in a single visual. The application was deployed via the web, making it accessible from any internet-connected device.

The Slips Matrix tool allowed the Level Homes team to quickly discover which tasks are falling behind, and where. By comparing the estimated task length to the actual task length to produce the “Net Slips” for a given task, the team could discover which tasks were the source of slippage in the overall project. Dynamic filters and expandable rows allowed the team to quickly drill down on any project of interest.