Faster, More Efficient Project Pages

Published on October 28, 2026

ChatGPT Image 2026年8月7日 17_10_42
We've improved how FactDecode loads project pages. The Design tab now skips unnecessary Results data, while detailed Results are loaded when you open them. Saved Run history is also handled more efficiently, reducing unnecessary processing when reviewing analysis settings and comparing results.

We've improved how FactDecode loads project pages to make reviewing analysis settings and saved results more comfortable.

This update reduces unnecessary processing by loading the data you need only when it's needed.

More Efficient Loading in Design

When you open a project, the Design tab no longer loads detailed Results data that it doesn't need.

You can review your Target, Horizon, Factors, and other analysis settings without fetching detailed data from saved Runs, reducing the processing required for the initial page load.

Load Results Only When Needed

Detailed Results data is now fetched when you open the Results tab.

Run history also loads more efficiently, focusing on basic information for the list while retrieving detailed data for the selected Run and any Run needed for comparison.

By avoiding the unnecessary loading of every saved Run's details, FactDecode reduces memory usage and processing overhead, particularly in projects with extensive Run histories.

Your Saved Results and Workflows Remain Available

These improvements primarily affect how data is loaded in the interface.

You can continue to select and compare saved Runs, use Bookmarks and Run history, open Results directly, and navigate with your browser's Back and Forward controls.

Quality labels for unselected Runs are no longer shown in the history list. However, OOS evaluations, Factor Contribution charts, and other available details can still be reviewed by selecting the relevant Run.

The underlying forecasting calculations, saved analysis results, and evaluation metric values have not changed.

We'll continue improving FactDecode not only by expanding its analytical capabilities, but also by making everyday workflows smoother and more reliable.