This feature is designed to give coaches a comprehensive, easy-to-use platform for analyzing and comparing group performance. With Group Dashboards, you can easily monitor group-wide trends, assess individual athlete performance within the context of a team, and track group goals. Whether you’re managing a team or a cohort of athletes across different programs, this tool gives you the insights needed to drive more targeted, effective training and decision-making.

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Some of the main features of the Group Dashboard include;

Similar to Athlete Dashboards, a widget refers to a data component that displays key metrics and insights. These widgets allow you to visualize data in various forms, such as graphs, charts, and comparisons, and are essential for monitoring and analyzing both individual and group performance.

The widgets you can choose from are split into 3 categories, and include visualizations such as longitudinal charts, KPIs, and comparisons. Each category and type of data visualization available is further explained below or you can click one of the options below to bring you to that category;

Monitor your groups trends & performance over time. E.g.: Monitoring your groups back squat strength over a season. This is a great way to see how each athlete is performing within the larger context of the group.

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In relation to the graph shown below, we notice a 26% increase in the group's Back Squat - Overall Mean Power. This is calculated based on the date range we have selected, which is from the average value of 610W recorded on Sunday 20th December 2024 (first data point), compared to the average value of 770W recorded on Sunday 5th January 2025 (last data point). By hovering over each of the data points, it will tell you how many athletes were 'active' on those days. i.e. how many athletes the data is being pulled from as not all athletes may have been active on those days.

By selecting the pencil icon () on the top right of the widget, you can edit the widget to change the displayed measure, metric, the data source (average or best), and the time period shown. This ensures the graph reflects the most relevant data for your analysis.

The graph below is showing two different metrics. We can see a decrease of 9% in jump height from the last year (compares the most recent measure to the the measure completed 365 days ago). However, we can see an increase of 117% in terms of the group's overall peak force for their back squats. As 'best' has been chosen here, it will show the best score achieved from the active athletes on that day.

Similar to above, we can use the pencil icon to update this widget at any stage. We can also hover over the % values provided for the CMJ and Back Squat to show what values and how many 'active' athletes the data is referring to.

In this example, the Relative Group Status widget is set up to show if the athletes' average jump height over the last year is within two performance thresholds based on their personal best jump height:

The widget highlights the athletes who are currently meeting or exceeding these thresholds, as well as those who are falling short. For example:

The widget visually groups athletes into these threshold categories using horizontal color-coded bars (e.g., teal for surpassing thresholds, grey for surpassing threshold 1, and red for below thresholds). By hovering over each athlete, you can see their metric scores, date of performance, personal best, and percentage of their personal best.

Using the pencil icon (), you can adjust the thresholds to better reflect their training goals or focus on other metrics. You also have the flexibility to set a minimum of one threshold and a maximum of two thresholds. For example, if you want to analyse if the athlete's are reaching 90% of their personal best in weight lifted on the Bench Press over the last 7 days, you can reconfigure the widget in just a few clicks.

Profile your groups physical status based on KPIs & Targets. E.g. Pre Season Testing Battery. By establishing clear goals and tracking advancements through various KPIs, you can gain valuable insights into your group and each athlete's performance. Whether your focus is on achieving personal bests or developing long-term strength, you will have the necessary data to quickly determine the current status of your group and how close they are to reaching the goals you have established.

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The Group Target widget is configured to track the group's progress in their average Bench Press Overall Mean Force over the past year, with a set target of 500N. The widget breaks down individual performance, showing that Adam exceeds the target with a mean force of 1366N, and Darragh is close to meeting the target at 467N. This data offers actionable insights, such as focusing on athletes like Elizabeth to help them close the gap, while also recognizing top performers like Sam and Stephen.

If an athlete, such as Thomas in this example, has no data available, this will be clearly indicated on the widget. Additionally, the widget allows for customisation via the pencil icon (), enabling you to adjust the target value, time period, metric or measure to suit the training priorities.

The Unilateral Group Target widget is configured to track the group's progress in their best CMJ - Single-Leg Jump Height over the past year, with a set target of 35cm. This widget provides a breakdown of each athlete's best scores for both the left and right legs, highlighting their progress toward the goal. For example, Damien has achieved 24.7cm on the left leg and 41cm on the right leg, showing a slight imbalance but meeting the target on the right side.

The widget uses color-coding to visualize progress, with the bar transitioning from grey to teal as athletes approach the target, turning fully teal when they meet or exceed it. This makes it easy to identify individuals who are on track and those requiring additional focus. This widget is particularly useful for identifying and addressing imbalances, for example ensuring both legs are developing strength and power equally, while also monitoring overall group progress towards the set target.

Additionally, by selecting the pencil icon (), you can adjust the target value, time period, metric or measure to better align with your training objectives.

Compare your athlete's to a group to highlight performance & drive competition. E.g. Compare all athlete's CMJs with the group average.

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The Group Comparison widget has been set up to evaluate the group's performance in weight lifted for their Back Squats, highlighting how each athlete compares to the overall group's best score from the last year. In this case, Adam holds the highest lift at 215.46kg, and his bar is displayed in fully teal, signifying his position as the benchmark for the group.

The other athletes are displayed with bars that range in size and color, shifting from grey to teal, to visually demonstrate how their best lifts compare to Adam's performance. For instance, Sam has achieved a lift of 172.5kg, making his bar the largest among the group, though it has not yet reached the fully teal status. In contrast, Jordan's lift of 50kg results in a noticeably smaller bar.

This visualization makes it easy to identify how each athlete stacks up relative to the top performer. It also serves to foster healthy competition, as athletes can see exactly how much more they need to lift to close the gap. Using the pencil icon (), you can modify the measure, metric or time range, ensuring the data remains relevant to your analysis.

The Unilateral Group Comparison widget has been configured to display Shoulder External Rotation Range of Motion (ROM). It is comparing each athlete's average ROM over the past year, for both their left and right shoulders, to the group average of 90 degrees.

Athletes who meet or exceed the group average have their bars displayed in teal, signifying alignment with the target, while those falling short have their bars in red. For example, Thomas averages 111 degrees on the left shoulder and 110 degrees on the right, so both his left and right bars are fully teal, indicating he is above the group average. Adam, with an average of 84 degrees on his left and 88 degrees on his right, has both bars in red, showing areas for improvement. Similarly, Darragh records 91 degrees on the right, resulting in a teal bar, but his left average of 89 degrees falls short, making that bar red.

This example offers a clear and concise way to identify discrepancies in range of motion compared to a groups average, allowing coaches to prioritize interventions. Using the pencil icon (), you can adjust the measure, metric, time frame, or use to tailor the widget for more specific insights.

When creating a group dashboard for the first time, you will first have to create the dashboard itself, then choose what widgets you would like to use to display your data, and then finally choose the overall configurations for your dashboard. Each section is outlined below.

You can create as many dashboards as you would like. For example you might have one dashboard for monitoring and one dashboard for profiling etc.

To delete a group dashboard;

The video below will show you how to use Group Dashboards to analyze group performance, track trends, compare athletes, and set targets—all in one place.

You can also read the following walkthrough blogs:

Group Dashboards bring your data to life by helping you profile athletes, compare their performance to peers, and monitor team readiness. This blog here explores how these features can be used to identify strengths and weaknesses, track team responses to stressors, and make smarter training adjustments.