Product

Product updates: December 2024

Shared by Todd • February 07, 2025

Introducing the Metrics Hub

FYTT has a brand new home for athlete health and performance data: the Metrics Hub. This feature incorporates many of our previous innovations in data management, but also introduces major improvements. Viewed in its entirety, the Metrics Hub takes data management to a new level and gives professionals better control of, and more insights into athlete data.

The release introduces a bit of a paradigm shift from the coach's perspective and simplifies many of the concepts that used to be somewhat difficult to piece together. Below is a detailed overview of the changes in this release.

KPIs and KPVs are now Metrics

Key performance indicators (KPIs) and key performance variables (KPVs) were originally conceived to create separate paradigms. KPIs were meant to track data that could then be used to prescribe exercises, while KPVs were meant to track data that was not necessarily related to exercise performance. Over the years, however, this has proved to be an unnecessary (and sometimes confusing) distinction. So we've consolidated everything into a single object for categorizing health and performance measurements: the Metric.
This change doesn't really change the previous functionality of KPIs and KPVs, but rather combines and simplifies them into a single object. Behind the scenes, KPVs were simply migrated to KPIs with a "custom" measurement type. Functionally, everything about the two objects has stayed the same.

Metrics Hub

The Metrics Hub is the new home for all data management functionality. Previously, you had to create and edit metrics in one place, view summary data in a different place, and manage measurement data in yet another place. All of that nonsense has been done away with. Everything you might need or want to do with metrics and athlete measurements can be done from a single, intuitive interface.
To access the data hub for any given team, click the new Metrics icon in the left-hand navigation menu.
All metrics are still shared across the institution, but each team has its own overview grid, which gives you a summary of athletes' most recent measurements for selected metrics. Within a team's metrics hub, simply check the boxes in the list on the right for the metrics you want to see in the overview:
Clicking on a metric in the list takes you to the metric grid. From this view, you can edit the metric's attributes, and you can view/modify athlete measurements within the active date range:
To change the active date range for the metrics hub, click the filter icon to the top right of the grid and select your parameters:
The overview grid no longer has a separate column for each metric's override. If you want to override an athlete's value for a given metric, you can right click on the cell corresponding to the desired athlete and metric to open the summary view.

Summary view

In the old KPIs and KPVs tabs on the roster, you could right click on a cell to see a summary of the athlete's recent measurements for the given metric. This functionality still exists, but the summary view has been greatly improved. Right clicking on a cell now open's the summary view on the right side of the screen, where you can view, add, and edit measurements within the grid's active date range.
In addition to the athlete's recent measurements for the metric, the override functionality is now implemented from the summary view. You can click the edit button in the override section to modify the override value, which will be reflected in the grid view as well.

Percentile assessments have been removed

Previously, if you wanted to track athletes' percentile ranking for a given metric, you had to create a special "percentile assessment" object. This was a bit clunky and confusing, so we've removed the concept of a percentile object altogether. Instead, we've added a simple setting for metrics that allows you to turn percentile ranking on or off for any given metric.
By turning the percentile setting on for a metric, athletes' percentile rankings are calculated and saved to every measurement. For metrics with percentile tracking turned on, you will see an athlete's percentile rank displayed in the summary view for the metric.
These rankings can be displayed in reports or used to build conditional logic in decision trees.
In connection with the new percentiles setting, there is also a new "Ranking direction" setting for metrics. This allows you to specify whether "higher is better" or "lower is better" for ranking and sorting purposes.
All reports and decision tree logic that previously used percentile assessments has been updated to work seamlessly with the new functionality.

Assessments and the assessment grid

The assessment paradigm has changed slightly in that assessment metrics are now viewed and managed from within the assessment interface. In practice, this has two main implications.
First, you no longer have to create metrics separately in order to add them to an assessment. Instead, you now create or edit them from the assessment form:
Secondly, assessment metrics are displayed within the assessment grid. The assessment grid can be accessed by clicking on an assessment from the metrics list in the metrics hub:
The assessment grid is similar to the overview grid, in that it displays a column for each metric in the assessment, including the assessment object itself if it has a calculated output. Each cell in the grid represents a given athlete's most recent measurement for the given metric (column).
Changing a cell value for a given metric and athlete creates a new measurement. If the assessment uses a formula to calculate a derived output, the calculations will be performed in the background and updated in the assessment column when finished.

Sprint profiling and the sprint grid

The sprint profile feature got a major improvement as well. Previously, you had to create a "sprint assessment," then you had to separately create "sprint KPIs" to get measurements for the selected sprint model outputs. With this release, the creation and utilization of sprint metrics has been streamlined.
All you have to do now is fill out a single form with a few inputs to create a sprint profile.
Once you've created a sprint profile, all the inputs and outputs for the model are displayed on the sprint grid. After filling out the inputs for a given athlete, the regression calculations run in the background. The model takes a few seconds to run in the background, then you can scroll the grid to the right and see the calculated values for all the outputs of the model (a total of 12 outputs are produced from the model).