This guide shows what tools are available in the Dashboard Builder and how to build the key widgets in AIS Generic & Sport Dashboards.

Dashboards are a visual display of the most important information from AMS event forms. This guide shows what tools are available in the Dashboard Builder and how they can be used to display your data.

Dashboard Builder Help Links
A Dashboard Builder Overview is available on the Fusion Sport website.

Click on the links below for more information

General

Widgets

Tiles

You can use the tile widget to visualise a single value. Tiles can only display data from a single question.

Tile Widget

Tables

You can use the table widget to create a report within your dashboard. Tables can display data from one form as multiple columns.

Table Widget

Time Series Charts

You can use time series charts to plot chronologically ordered data. Charts can display data from one or more series. Data can come from one or multiple forms.

Time Series Chart

Categorical Charts

The categorical chart widget is used to display data by categories. They can display data from one or more series. Data can come from one or multiple forms.

Categorical Charts

XY Scatter Charts

You can use the XY scatter chart to plot between two and four variables (X, Y, size, colour) from one form.

XY Scatter Chart

Select Box & Date Picker

These widgets are used to filter other widgets.

The Select Box allows the reader to make a selection from a drop-down list which can be text, numbers or dates.

Select Box

The Date Picker allows the reader to filter their data to a single date or date range if using two Date Pickers (start and end date).

Date Picker

AMS Generic Dashboard

Motivation

The AMS Generic Dashboard contains all templates for individual graphs, this way any dashboard can be easily built by duplicating off the Generic and individualising for the Sport.

The following courses will include details on how to build individual widgets.

Guiding Principles

One dashboard per sport.
Minimum inclusions are recent training and wellness sections
Colour schemes are consistent with site/app or NSO colours
Dashboards are athlete-facing; avoid jargon and ensure clear design

Typical Inclusions

A typical NSO dashboard will follow the following structure:

Filters

Athlete Dropdown
Start Date (if applicable)
End Date (if applicable)

Recent Training

Metric Dropdown
Last 7 days of training (By Load/Duration/Distance) Timeseries
Last month of training Categorical
Current vs previous week of training Categorical
Acute & Chronic loads Timeseries
Session Types Pie chart

Training History

Aggregation Table

Monitoring/Wellness

Wellness Duration with alerts Timeseries
Sleep Q vs Sleep Hrs Scatter Chart
Wellness Measures Timeseries (eg Fatigue, Soreness)
SRSS Radar (if applicable)

AMS Help Banner

Wheelchair Basketball Example

Dynamic Dates - Filters vs Datasource

Option 1: Data Sources (preferred)

In this option date filters are applied to data sources, eg. one source for 7 days, one for 14 days, one for 1 month.

Pros include minimising filters and date filters are not necessary on individual series. Data sources are smaller and can parse faster.

Cons are set dates with minimal flexibility to add interim dates, more data sources to load & multiple datasources can cause confusion.

Typical Data Source

AMS Training Log - Last 7 days
AMS Training Log - 14 days
AMS Training Log - 28 days
AMS Training Log - Most Recent (Today)

Filters

Today
Current Week
Previous Week

Option 2: Filters

In this option there is a large data source with hidden date filters used to achieve intervals. Hidden simply means section title set to same colour as background and collapsed by default.

Pros include minimising datasources and a lot of flexibility with custom dates. Cons are you have to add date filters to every series/source, this can get very long and potentially difficult to maintain. Large data sources take longer to parse -for AMS Training Log this can be a significant delay.

Typical Data Source

AMS Training Log - Last 3-6months
AMS Training Log - Most Recent (Today)

Filters

28 days ago
14 days ago
7 days ago
Today
Current Week
Previous Week
Plus any additional dates for intervals

Multi-metric Graphs

Notes

To enable the dropdown to match to a metric (Load, Duration, Distance, RPE etc) these need to be in the form as text calculations. AMS Training Log has these built in. Most sport forms do not.

Keep metrics & options manageable, you will need to create # options * # metrics worth of series. Anything over 20 will seriously lag the DBB.

This example is using the Data Source method of filtering. You will need to add start/end date filters if using the hidden filters method.

Dropdown

Dropdown metric to build

You only need 1 of these for the Dashboard. All multi-metric graphs use the same dropdown.

Dropdown opptions.

Custom options NEED to match the text in the AMS Training Log:

Session Load
Duration
Distance
RPE

Must default to a value and ensure no empty/multi selection.

Graphs

Example Graph - Weekly Summaries.

Note the 2 series - one for each metric.

Series

If using many series it's best to switch off legends for duplicates. Eg. Competition & Competition - Duration.

All other settings are as per graph & don't affect multi-metric stuff.

Filters

You'll need an athlete filter as per normal

New filter: Metric Text Calc = Dropdown

Metrics:

Session Load
Distance
Duration
RPE

Colour Schemes

General Theme / AIS

Background should be #000033 for any dashboard used on the app. This will match the AMS App colours. Bold colours are primary.

Colour Palettes:

Navy - #000033 (background)

Yellow - #ffc709

Green - #2e9e46

Blue - #64cbe8

Standard Rainbow

RED - #D53E4F

ORANGE - #FC8D59

YELLOW - #FEE08B

LIGHT GREEN - #E6F598

MID GREEN - #99D594

BLUE - #3288BD

RPE 1- #C2FFA7

RPE 2 & 3 - #B6FF9D

RPE 4 - #C3FC51

RPE 5 - #EBFC51

RPE 6 - #FDF900

RPE 7 - #FFDD02

RPE 8 - #FFAB02

RPE 9 - #FF7002

RPE 10 - #FF0302

Diving

Bright Blue - #02C8F0

Dark Blue - #004C6D

#276589

#437FA7

#5D9BC5

#78B7E4

Light Blue - #BFE5FD

Hockey

Royal Blue - #0377E2

Mid Blue - #12A4FF

Green - #00CDD2

Light Blue - #6BCCFF

Grey - #D4D4D4

Purple - #BF8CF1

Dark Grey - #868686

AQUA - #018A8D

Netball

GREEN - #00803F

L GREEN - #738D00

ORANGE - #E98300

PINK - #EB5954

MAUVE - #C44E82

PURPLE - #835591

BLUE - #47547E

NAVY - #2F4858

Volleyball

L GREEN - #BEF382

M GREEN - #4EDCB1

AQUA - #00BACA

BLUE - #3E8ED7

PURPLE - #9C509A

PINK - #A82F64

BROWN - #852500

Basketball / Wheelchair Basketball

Orange - #E55802

Pink - #DE3556

Mauve - #B33E82

Purple - #744E8F

Blue - #3E517C

Dark Blue - #2F4858

DARK - LIGHT ORANGE

Dark - #8E3600

#B84600

#E45700

#FF7C2B

#FF9858

Light - #FFC6A3

Last 7 Days of Training - Timeseries

Notes

This example is using the Data Source method of filtering and a multi-metric Dropdown.

7 Days is defined as 6 days ago plus today (max 7 data points).

Activities from the AMS Training Log are mapped from Sport-specific to generic categories. These include the common ones like Conditioning, Gym/Weights, Skills, Competition and all sports. For a full list look at the AMS Training Log or ask the AIS Team.

Keep metrics & options manageable, you will need to create # options x # metrics worth of series. Anything over 20 will seriously lag the DBB.

Graph

Timeseries

Note the 2 series, one for each metric, for each session type. Keep session types limited!

Series

If using many series it's best to switch off legends for duplicates. Eg. Competition & Competition - Duration. Only ones with red dots are visible (access through Advanced Tab in each series)

Series Settings

Set Field as the summary for that metric (Session Duration, Session Load, Session Distance, Session RPE)

Stacking group must be the same for all bars

Ensure there are filters on

Filters

This is a Load example.

Athlete Filter: About = Athlete
Session Type Filter: Session Summarised = x (from AMS Training Log list)
Metric Filter: y Text Calc = Dropdown (y being the matching metric)

Metrics:

Session Load
Distance
Duration
RPE

Current vs Previous Week of Training - Categorical

Notes

This example is using the Data Source method of filtering and is multi-metric. Same graph type can be used for current v previous month - you'll just need the hidden boxed for month numbers.

Categorical Chart

This graph uses the cumulative calcs in the AMS Training Log. You need 2 additional hidden select boxes: Previous week & Current week

Additional Select Boxes

Hidden Select Boxes

Hide these in a blank, collapse section at the bottom. These are needed to pick up current & past week numbers.

Datasource: AMS Training Log Most Recent (Today or last 1 day)

Field: Previous Week & Current Week

Filter: About = Athlete

Graph

Categories

In order to get the ordering we need Week Day to be numerical.

Category: Week Day

Filters:

a) none (if data source is last 14 days)

b) Date Filters - 1. after or same as 14 days ago to 2. Today

Series

If using many series it's best to switch off legends for duplicates of week. I.e. only one per colour shows.

Field: Cumulative Load/Duration/Distance

Aggregation: Maximum

Type: Area

Filters

This is a Load example.

Athlete Filter: About = Athlete
Metric Filter: y Text Calc = Dropdown (y being the matching metric)
Week Filter: Wk. Num = Current Week/Previous Week (these are hidden select boxes)

Weekly Summary - Categorical

Notes

This example is using the Data Source method of filtering and is multi-metric. Chart is categorical.

Graph

Categories

Category: Wk. Num

Filters: About = Select Athlete

Series

Field: Cumulative Load/Duration/Distance

Aggregation: Maximum

Type: Bar

Filters

Athlete Filter: About = Athlete
Metric Filter: y Text Calc = Dropdown (y being the matching metric)

Acute v Chronic Load - Timeseries

Notes

This example is using the Data Source method of filtering. Timeseries Chart.

Graph

Series

To have injuries display duplicate ATL and add an additional filter for Injured = Yes.

Field: Acute Training Load / Chronic Training Load

Aggregation: Get from most recent record

Type: Area-Spline (Scatter for Injury)

Filters

All

Athlete Filter: About = Athlete

Injury only

2. Injury Reported this session = Yes

Session Type - Pie Chart

Notes

This example is using the Data Source method of filtering. Pie/Donut Chart.

Important Stuff

Legends need to be below for any dashboard that will be viewed on the app.
Categories must be identical to the options for that question.
Colours! Default colour scheme is not great - take the extra minute to match with the rest of your graphs.

Graph

Data Filters

Athlete Filter: About = Athlete

Categories

Most cases this will come from the Sport Form. Note AMS Training Log has a standard list of activities - but usually you'll want the sport specifics.

Set up corresponding variables/labels. They must be identical to the options for that question.

Put some nice colours on it.

Sleep - Timeseries

Notes

This example is using the Data Source method of filtering. Timeseries Chart

Be aware that AMS Wellness Report does not have a standard scale. Therefore you must check each sport's scale if using the generic Report as a Data Source.

We recommend using the Sport Wellness where possible.

Graph

Series

To have alerts display duplicate sleep duration and add an additional filter for Poor Quality/High Soreness etc.

Field: Sleep Duration (from sport)

Aggregation: Get from most recent record

Type: Bar

Filters

Athlete Filter: About = Athlete

Additional Alerts (examples)

Injury Reported this session = Yes
Sleep Quality < 2

Gridlines

Avg Sleep Hours

Sleep Hrs v Q - XY Scatter

Notes

This example is using the Data Source method of filtering. XY Scatter Chart

Be aware that AMS Wellness Report does not have a standard scale. Therefore you must check each sport's scale if using the generic Report as a Data Source.

We recommend using the Sport Wellness where possible.

Graph

Data:

X: Sleep Quality

Y: Sleep Hours

Filters

Athlete Filter: About = Athlete

Regions

SRSS - Radar

Notes

This example is using the Data Source method of filtering. Averages are calculated over the length of the data source. It is suggested you show a table below with results.

Legends need to be below for any dashboard that will be viewed on the app.

Radar Chart

Graph

Data

Most cases this will come from the SRSS form. (WC BBall just have it built into their monitoring)

Set up corresponding variables/labels.

Series

Most Recent: From most recent record
Average: Mean
Upper Limit: Mean + 1 SD
Lower Limit: Mean - 1 SD

Filters

Athlete Filter: About = Athlete

Additional Settings

AIS Generic

This dashboard contains all the widgets that are commonly used - it's best to use this as a template, you don't need to include everything shown here!